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Wei Qian, Ph.D.
Page 1 of 37
Curriculum Vitae for: Wei Qian, Ph.D.
Correspondence Address:
Wei Qian, Ph.D.
Professor (AIMBE Fellow)
Department of Electrical and Computer Engineering, Office: A318
Director: Medical Imaging Informatics Lab: E 337, E338, and E339.
College of Engineering, University of Texas, El Paso
500 West University Avenue
El Paso, Texas 79968
http://engineering.utep.edu/ee/qian/index.htm
PH: (915) 747-8090 (Office); (915) 747-7687 (Lab), (915) 747-8775 (Lab)
FX: (915) 747-7871
Academic Appointments and Employment
2008 -
2007-2008
2001-2007
Professor, Department of Electrical & Computer Engineering, College of
Engineering, University of Texas, El Paso.
Allen Henry Endowed Chair Distinguished Professor, Department of Electrical &
Computer Engineering, Florida Institute of Technology
Associate Professor, Dept. of Interdisciplinary Oncology at Moffitt Cancer Center,
College of Medicine, University of South Florida, Tampa, FL
Postgraduate Training and Fellowship Appointments
Postdoctoral Research Training, Department of Electrical Engineering, University
of Notre Dame, South Bend, Indiana
Postdoctoral Research Training, Department of Radiology, College of Medicine,
University of South Florida, Tampa, FL
Current Membership in Professional Organizations
Fellows in “The American Institution for Medical and Biological Engineering” (AIMBE)
Selected Awards and Honor Services to Profession
1. Nominated Fellow in “The American Institution for Medical and Biological Engineering”
(AIMBE)
2. Best Paper Award Honorable Mention: 2018 Computerized Medical Imaging and Graphics,
Elsevier Publishing Company.
Wei Qian, Ph.D.
Page 2 of 37
3. Invited Reviewer as Panel member for the review of the Florida Department of Health’s
Biomedical Research Programs-the Bankhead-Coley Cancer Research Program and the
James and Esther King Biomedical Research Program.
4. Invited to serve on a NIH, National Institute of Biomedical Imaging and Bioengineering
panel to review these important Ruth L. Kirschstein National Research Service Award
Institutional Research Training (T32) and Research Education Programs for Residents and
Clinical Fellows (R25) proposals.
5. Invited Reviewer as Panel member for PAR-17-128: Quantitative Imaging Tools and
Methods for Cancer Therapy Response Assessment (UG3/UH3).
6. Invited for Special Emphasis Panel (SEP) to review U01 applications submitted in response
to PAR-14-116, entitled “Quantitative Imaging for Evaluation of Response to Cancer
Therapies” initiative by NCI, NIH.
7. Invited for NIH Special Emphasis Panel (SEP) to review U01 applications received in
response to PAR-14-116, entitled “Quantitative Imaging for Evaluation of Response to
Cancer Therapies”.
8. Invited Reviewer as Panel member for the review of the Florida Department of Health’s
Biomedical Research Programs-the Bankhead-Coley Cancer Research Program and the
James and Esther King Biomedical Research Program.
9. NIH Special Emphasis Panel (ZRG1 SBIB-F31) to review applications submitted to PAR-
16-053 High-End Instrumentation (HEI) Grant Program (S10).
10. Reviewer for the Pennsylvania Department of Health Final Performance Review – 16-17
Cycle A.
11. NIH/NCI Invited Reviewer as Panel member for the review of Small Grants Program for
Cancer Research (NCI PAR-14-007 (R03) Omnibus R03), Council ZCA1 RTRB-R M1 S.
12. NIH/NCI Invited Reviewer as Panel member for the review of Exploratory/Developments
Research Grants Program (NCI PAR-13-146 (R21) Omnibus R21) Council ZCA1 RTRB-R
M1 S.
13. Special Emphasis Panel (ZRG1 SBIB-F30) to review biomedical imaging instrumentation
applications submitted in response to PAR-14-073 Shared Instrumentation Grant Program
(S10).
14. Invited Reviewer as Panel member for PA DoH Commercialization Online Peer Review.
15. Invited Reviewer as Panel member for P41 Review Panel** NIH-NIBIB P41 Review
Meeting,
16. NCI Invited Reviewer as Special Emphasis Panel member for the review of grants
submitted to NCI in response to PAR-11-150 NCI "Quantitative Imaging Network (QIN)"
Review, Special Emphasis Panel
17. NCI Invited Reviewer for National Institute of Biomedical Imaging and Bioengineering
NIH - NIBIB P41 Review Panel.
18. Star Award for Biomedical Engineering Research Achievements from Texas State
University System.
19. Invited Reviewer for Scientific Review Panel for Biomedical Imaging Technology Study
Section, Surgical Sciences, Biomedical Imaging and Bioengineering Integrated Review
Group.
20. Invited Reviewer for Cell Biology Integrated Review Group, Center for Scientific Review
(CSR), National Institutes of Health
21. Invited Reviewer for Proposal Review on Biomedical Imaging Technology Study Section:
Surgical Sciences, Biomedical Imaging and Bioengineering Integrated Review Group,
CENTER FOR SCIENTIFIC REVIEW, NCI/NIH, BMIT
Wei Qian, Ph.D.
Page 3 of 37
22. Invited Reviewer for the site visit will be at the University of North Carolina at Chapel Hill
between Intercellular Interactions Study Section, NIH/NIBIB P41 Site visit
23. ACS Awards: 18th UICC International Cancer Congress, Oslo, Norway.
24. Outstanding Paper Award in Moffitt Cancer Center and Research Institute.
25. Honored Evelyn and Alfred Silbiger Cancer Research Fellow Award in Radiology.
Patents
1. United States Patent, No. 5576548: "Nuclear Imaging Enhancer"
2. United States Patent, No.5799100: "Computer-Assisted Method and Apparatus for Analysis
of X-Ray Images Using Wavelet Transforms"
3. United States Patent, No. 5825936: "Image Analyzing Device Using AdaptiveCriteria"
4. United States Patent, No. 5987094: "Computer-Assisted Method and Apparatus for detection
of lung nodules"
5. United States Patent, No. 5982917: "Computer-Assisted Method and Apparatus for
Displaying X-Ray Images"
6. United States Patent, No. 8077958: Computer-Aided Pathological Diagnosis (CAPD)
System
The patents 2, 3, and 5 have been licensed and commercialized by the Carestream Health
Company.
Peer-Reviewed Publications
(include published, in press, accepted for publication and submitted)
(please list in order from oldest to most recent)
(if senior author i.e. first or correspondence author then your name should be bolded and
underlined otherwise just bold name)
1. F Han, L Yan, J Chen, Y Teng, S Chen, S Qi, W Qian, J Yang, W Moore, “Predicting
Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset
by Transfer Learning” Journal of Digital Imaging 2020, pp1-12, Publication date 3/6/2020
2. Liping Xie, Hedele Zeng, Jianjun Sun, Wei Qian, “Engineering Microneedles for Therapy and
Diagnosis: A Survey”, Micromachines 2020, Vol. 11, Issue 3, pp271-291, 2020
3. Ran Du, Shouliang Qi, Jie Feng, Shuyue Xia, Yan Kang, Wei Qian, Yu-Dong Yao
“Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep
CNN” IEEE Access 2020, Vol. 8, pp 38907-38919, 2020
4. Z Wang, J Xin, Z Wang, H Gu, Y Zhao, W Qian, “Computer-Aided Dementia Diagnosis
Based on Hierarchical Extreme Learning Machine” Cognitive Computation, 2020. PP1-15,
Springer US. 2020
5. Zhiqiong Wang, Junchang Xin, Qianqian Zhang, Sa Gao, ChunXiao Ma, Jie Ren, Hao Zhang,
Wei Qian, Wancheng Zhu, Xia Zhang, Jiren Liu, “Breast microcalcifications detection based
on fusing features with DTCWT”, Journal of X-Ray Science and Technology, 2020.
6. WJ Liang, HW Yang, HN Liu, W Qian, XL Chen, “HMGB1 upregulates NF-kB by inhibiting
IKB-α and associates with diabetic retinopathy”, Life Sciences, 241, 117146, 2020,
7. Z Wang, J Xin, Y Huang, L Xu, J Ren, H Zhang, W Qian, X Zhang, J Liu, “A similarity
measure method fusing deep feature for mammogram retrieval” Journal of X-Ray Science and
Technology, 2019.
Wei Qian, Ph.D.
Page 4 of 37
8. Y Teng, Y Yao, S Qi, C Li, L Xu, W Qian, F Fan, G Wang, “A novel framework for the
NMF methods with experiments to unmixing signals and feature representation”, Journal of
Computational and Applied Mathematics, 362, 205-218, 2019.
9. Qingtao Gu, Shouliang Qi, Yong Yue, Jing Shen, Baihua Zhang, Wei Sun, Wei Qian,
Mohammad Saidul Islam, Suvash C Saha, Jianlin Wu, “Structural and functional alterations of
the tracheobronchial tree after left upper pulmonary lobectomy for lung cancer”, Biomedical
engineering 18 (1), 1-18, 2019.
10. Mingjie Xu, Shouliang Qi, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, Wei Qian,
“Segmentation of lung parenchyma in CT images using CNN trained with the clustering
algorithm generated dataset”, Biomedical engineering, 18 (1), 2, 2019
11. Lin Qi, Haoran Zhang, Wenjun Tan, Shouliang Qi, Lisheng Xu, Yudong Yao, Wei Qian,
“Cascaded Conditional Generative Adversarial Networks with Multi-Scale Attention Fusion
for Automated Bi-Ventricle Segmentation in Cardiac MRI”, IEEE Access, 2019, PP 172305-
172320. 2019
12. Yanqing Bao, Xinzhuo Zhao, Lin Wang, Wei Qian, Jianjun Sun, “Morphology-based
classification of mycobacteria-infected macrophages with convolutional neural network:
reveal EsxA-induced morphologic changes indistinguishable by naked eyes”, Translational
Research, 2019, Vol. 212, PP1-13. 2019
13. Baihua Zhang, Shouliang Qi, Patrice Monkam, Chen Li, Fan Yang, Yu-Dong Yao, Wei Qian,
“Ensemble learners of multiple deep CNNs for pulmonary nodules classification using CT
images”, IEEE Access, 2019, Vol. 7, pp110358-110371. 2019
14. Hong Li, Hang Sun, Siqi Liu, Wei Zhang, Felicity Mmaezi Arukalam, He Ma, Wei Qian,
“Assessing the performance of benign and malignant breast lesion classification with bilateral
TIC differentiation and other effective features in DCE‐MRI”, Journal of Magnetic Resonance
Imaging, 2019, Vol. 50, pp465-473. 2019
15. Patrice Monkam, Shouliang Qi, He Ma, Weiming Gao, Yudong Yao, Wei Qian, “Detection
and classification of pulmonary nodules using convolutional neural networks: a survey”, IEEE
Access, 2019, pp78075-78091. 2019
16. Xia Huang, Wenqing Sun, Tzu-Liang Bill Tseng, Chunqiang Li, Wei Qian, “Fast and fully-
automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep
convolutional neural networks” Computerized Medical Imaging and Graphics, 2019, Vol. 74
pp25-36. 2019
17. Jiangdian Song, Jie Tian, Lina Zhang, Xiujuan Qu, Wei Qian, Bin Zheng, Jia Zhao, Meng
Niu, Mu Zhou, Lei Cui, Yunpeng Liu, Mingfang Zhao, “Development and validation of a
prognostic index for efficacy evaluation and prognosis of first-line chemotherapy in stage III–
IV lung squamous cell carcinoma”, European radiology, 2019, Vol. 29, Issue 5, pp2388-
2398. 2019
18. Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian,
Yuchen Qiu, Bin Zheng, “Association of computer-aided detection results and breast cancer
risk”, Medical Imaging 2019: Computer-Aided Diagnosis, Volume 10950. 2019
19. Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian,
Yuchen Qiu, Bin Zheng, “Assessment of a quantitative mammographic imaging marker for
breast cancer risk prediction”, Medical Imaging 2019: Image Perception, Observer
Performance, and Technology Assessment, Vol. 10952. 2019
20. Xinzhuo Zhao, Wenqing Sun, Wei Qian, Shouliang Qi, Jianjun Sun, Bo Zhang, Zhigang
Yang, “Fine-grained lung nodule segmentation with pyramid deconvolutional neural
network”, Medical Imaging 2019: Computer-Aided Diagnosis, Vol. 10950. 2019
21. Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian,
Yuchen Qiu, Bin Zheng, “Assessment of a quantitative mammographic imaging marker for
Wei Qian, Ph.D.
Page 5 of 37
breast cancer risk prediction”, Medical Imaging 2019: Image Perception, Observer
Performance, and Technology Assessment, Vol. 10952. 2019
22. Yanqing Bao, Xinzhuo Zhao, Lin Wang, Wei Qian, Jianjun Sun, “Morphology-based
classification of mycobacteria-infected macrophages with convolutional neural network:
reveal EsxA-induced morphologic changes indistinguishable by naked eyes CTC analysis”,
Featured New Investigator Articles VOLUME 212, October 2019.
23. Xinzhuo Zhao, Shouliang Qi, Baihua Zhang, He Ma, Wei Qian, Yudong Yao, Jianjun Sun,
“Deep CNN models for pulmonary nodule classification: Model modification, model
integration, and transfer learning”, Journal of X-ray science and technology, 2019, Vol. 27,
Issue 4, pp 615-629. 2019
24. Xinzhuo Zhao, Yanqing Bao, Lin Wang, Wei Qian, Jianjun Sun, “A novel deep learning
scheme for morphology-based classification of mycobacterial infection in unstained
macrophages”, bioRxiv, 2019,
25. Nan Bao, Ang Li, Wei Zhao, Zhiming Cui, Xinhua Tian, Yong Yue, Hong Li, Wei Qian,
“Automated fiducial marker detection and fiducial point localization in CT images for lung
biopsy image-guided surgery systems”, Journal of X-ray science and technology, 2019, Vol.
27, Issue 3. pp 417-429. 2019
26. Zhiqiong Wang, Yukun Huang, Mo Li, Hao Zhang, Chen Li, Junchang Xin, Wei Qian, “
Breast mass detection and diagnosis using fused features with density”, Journal of X-ray
science and technology, 2019, Vol. 27, Issue 2, pp 321-342. 2019
27. M Xu, S Qi, Y Yue, Y Teng, L Xu, Y Yao, W Qian, “Segmentation of lung parenchyma in
CT images using CNN trained with the clustering algorithm generated dataset” Biomedical
engineering online 18 (1), 2 2019.
28. H Li, H Sun, S Liu, W Zhang, FM Arukalam, H Ma, W Qian “Assessing the performance of
benign and malignant breast lesion classification with bilateral TIC differentiation and other
effective features in DCE‐MRI” Journal of Magnetic Resonance Imaging, 2019
29. J Song, J Tian, L Zhang, X Qu, W Qian, B Zheng, J Zhao, M Niu, M Zhou, “Development
and validation of a prognostic index for efficacy evaluation and prognosis of first-line
chemotherapy in stage III–IV lung squamous cell carcinoma” European radiology, 1-11 2019
30. P Monkam, S Qi, M Xu, H Li, F Han, Y Teng, W Qian “Ensemble Learning of Multiple-
View 3D-CNNs Model for Micro-Nodules Identification in CT Images” IEEE Access 7,
5564-5576, 2019
31. Baihua Zhang, Shouliang Qi*,Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu,
Particle disposition in tracheobronchial tree of subjects with tracheal bronchus, COPD
simulated by CFD, BioMed Research International, 2018, Article ID: 7428609. (SCI, Q2)
32. Patrice Monkam, Shouliang Qi*, Mingjie Xu, Fangfang Han, Xinzhuo Zhao, Wei Qian, CNN
models discriminating between pulmonary micro-nodules and non-nodules from CT images,
Biomedical Engineering Online, 2018, 17: 96. https://doi.org/10.1186/s12938-018-0529-x.
(SCI, Q3)
33. Xinzhuo Zhao, Liyao Liu, Shouliang Qi*,Yueyang Teng, Jianhua Li, Wei Qian, Agile
Convolutional Neural Network for Pulmonary Nodule Classification Using CT Images,
International Journal of Computer Assisted Radiology and Surgery, 2018, 43(4): 585-595.
(SCI, Q3)
34. Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu,
Airflow in tracheobronchial tree of subjects with tracheal bronchus simulated using CT image
based models and CFD method, Journal of Medical Systems, 2018, 42(4):65. (SCI, Q2)
35. Patrice Monkam, Shouliang Qi*, Mingjie Xu, Haoming Li, Fangfang Han,Yueyang Teng,
Wei Qian, Discrimination between micro-nodules and non-nodules in CT images using the
ensemble learning of multiple-view 3D-CNNs, IEEE Access, 2018, Accepted. (SCI, Q1)
Wei Qian, Ph.D.
Page 6 of 37
36. Mingjie Xu, Shouliang Qi*, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, and Wei
Qian, Segmentation of lung parenchyma in CT images using a simplified CNN trained with
the clustering algorithm generated dataset, Biomedical Engineering Online, 2018, Accepted.
(SCI, Q3)
37. Zhiqiong Wang, Junchang Xin, Yukun Huang, Chen Li, Ling Xu, Yang Li, Hao Zhang,
HuiziGu, Wei Qian. A Similarity Measure Method Combining Location Feature for
Mammogram Retrieval. Journal of X-Ray Science and Technology,2018, 26(4): 553-
571.(SCI Q3, IF=1.381, EI)
38. Zhongyang Wang, Junchang Xin, Xinlei Wang, Zhiqiong Wang, Yue Zhao, Wei Qian.
Voxelwise-based Brain Function Network using Multi-Graph Model. Scientific Reports,
2018, accepted.(SCI Q1, IF=4.122)
39. Zhiqiong Wang, Yukun Huang, Mo Li, Hao Zhang, Chen Li, Junchang Xin, Wei Qian. Breast
Mass Detection and DiagnosisUsing Density Fusion Feature Based onExtreme Learning
Machine. Journal of X-Ray Science and Technology,2018,(SCI Q3, IF=1.381, EI)
40. Hang Sun, Hong Li, Shuang Si, Shouliang Qi, Wei Zhang, He Ma, Siqi Liu, Li Yingxue, Wei
Qian. Performance evaluation of breast cancer diagnosis with mammography,
ultrasonography and magnetic resonance imaging. Journal of X-ray science and technology
Preprint (2018): 1-14. (SCI)
41. ·Guohui Wei, Weihui Cao, He Ma, Shouliang Qi, Wei Qian, Zhiqing Ma. Content-based
image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance
Metric, Journal of Medical Systems, 2018(42:13). (IF:2.456)
42. ·He Huang,He Ma*,Han JW van Triest,Yinghua Wei,Wei Qian. Automatic Detection
of Neovascularization in Retinal Images using Extreme Learning Machine,Neurocomputing,
2018,277, pp 218-227.(IF:3.317)
43. ·Guohui Wei, He Ma*, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu.
Lung nodule classification using local kernel regression models with out-of-sample extension,
Biomedical Signal Processing & Control, 2018, Volume 40, pp 1-9. (IF:2.214)
44. Liu HN, Li X, Wu N, Tong MM, Chen S, Zhu SS, Qian W, Chen XL. Serum microRNA-221
as a biomarker for diabetic retinopathy in patients associated with type 2 diabetes. Int J
Ophthalmol 11(12), 1889-1894, 2018.
45. S. Zhu, J. Lu, R. Chen, X. Cui, S. Chen*, W. Qian, Discrimination of bacteria species with
low signal-to-noise ratio Raman measurements. Proc. SPIE 10820: Optics in Health Care and
Biomedical Optics VIII, 10820-53 (12 October 2018)
46. S. Zhu, H. Liu, R. Du, D. Annick, S. Chen, W. Qian, Tortuosity of retinal main and branching
arterioles, venules in patients with type 2 diabetes and diabetic retinopathy in China. (under
review)
47. S. Zhu, X. Cui, W. Xu, S. Chen, W. Qian, Spectral Reconstruction Based Method for
Discrimination of Bacteria Species with Low Signal-to-Noise Ratio Raman Measurements.
(under review)
48. Hang Sun, Hong Li*, Shuang Si, Shouliang Qi, Wei Zhang*, He Ma, Siqi Liu, Yingxue Li,
Wei Qian. Performance evaluation of breast cancer diagnosis with mammography,
ultrasonography and magnetic resonance imaging [J], Journal of X-Ray Science and
Technology. 2018, 26(5): 805-813.
49. Hang Sun, Hongli Zhang, Siqi Liu, Hong Li*, Wei Zhang*, Felicity Mmaezi Arukalam, Wei
Qian. Automatic Breast Segmentation in MRI Using Improved Fully Convolutional Network
[J], Journal of Medical Imaging and Health Informatics. 2018, 8(8): 1660-1664.
Wei Qian, Ph.D.
Page 7 of 37
50. Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shouliang Qi, Wei Qian*, Jie Yang,
William Moore, Shu Zhang and Zhengrong Liang*, "Predicting Unnecessary Nodule Biopsy
for Early Lung Cancer Diagnosis from a Small and Unbalanced Pathologically Proved
Database by Transfer Learning", submitted to Computers in Biology and Medicine, SCI Q2.
51. Sun W, Tseng T, Qian W, Saltzstein EC, Zheng B, Yu H, Zhou S, A new near-term breast
cancer risk prediction scheme based on the quantitative analysis of ipsilateral view
mammograms, Computer Methods and Programs in Biomedicine, 2018; 155:28-38.
52. Shouliang Qi, Baihua Zhang, Yueyang Teng, Jianhua Li, Yong Yue, Yan Kang, Wei Qian,
Transient dynamics simulation of airflow in a CT-scanned human airway tree: more or fewer
terminal bronchi? Computational and Mathematical Methods in Medicine, Volume 2017,
Article ID 1969023.
53. Wang Y, Aghaei F, Zarafshani A, Qiu Y, Qian W, Zheng B, Computer-aided classification of
mammographic masses using visually sensitive image features, Journal of X-ray Science and
technology 2017; 25:171-186.
54. Zhang, Yang; Kerr, Matthew; Guan, Fada; Hartman, Joris; Jiang, Bo; Sahoo, Narayan; Zhu,
Xiaorong; Gillin, Michael; Qian, Wei; Zhang, Xiaodong “Dose Calculation for Spot
Scanning Proton Therapy with the Application of a Range Shifter" Biomed. Phys. Eng.
Express: BPEX-100657.R1, 2017
55. Sun W, Zheng B, Qian W, Automatic feature learning using multichannel ROI based on deep
structured algorithms for computerized lung cancer diagnosis, Computers in Biology and
Medicine 2017; 89:530-539.
56. Xinzhuo Zhao, Liyao Liu, Shouliang Qi*,Yueyang Teng, Jianhua Li, Wei Qian, An agile
Convolutional Neural Network for Pulmonary Nodule Classification Using CT Images,
International Journal of Computer Assisted Radiology and Surgery, Accepted.
57. Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu,
Airflow in tracheobronchial tree of subjects with tracheal bronchus simulated using CT image
based models and CFD method, Journal of Medical Systems, Accepted.
58. Mingjie Xu, Shouliang Qi*, Yong Yue, Yueyang Teng, Lisheng Xu, Yudong Yao, and Wei
Qian, Segmentation of lung parenchyma in CT images using a simplified CNN trained with
the clustering algorithm generated dataset, IEEE Journal of Biomedical and health
informatics, Submitted.
59. Shouliang Qi*, Jinnan Sun, Jing Shen, Bo Zhang, Yueyang Teng, Jianlin Wu, Wei Qian,
Brain model for the diagnosis of schizotypal personality disorder constructed with multi-
dimensional functional brain network measures and Support Vector Machine, Frontiers in
Human Neuroscience, Submitted.
60. Teng Y Y, Qi S L, Dai Y, Xu L S, Qian W and Kang Y. Semi-supervised nonnegative matrix
factorization with commonness extraction. Neural Process Lett, 2017, 45 (3): 1-14. (SCI)
61. Guohui Wei, He Ma*, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, and Min
Qiu. Lung nodule classification using local kernel regression models with out-of-sample
extension, Biomedical Signal Processing & Control, 2017. (Accepted)
62. Hongyang Jiang, He Ma*, Wei Qian, Mengdi Gao, and Yan Li. An Automatic Detection
System of Lung Nodule Based on Multi-Group Patch-Based Deep Learning Network, IEEE
Journal of Biomedical and Health Informatics, 2017. (Accepted)
63. Hongyang Jiang, He Ma*, Wei Qian, Mengdi Gao, and Yan Li. An Automatic Detection
System of Lung Nodule Based on Multi-Group Patch-Based Deep Learning Network, IEEE
Journal of Biomedical and Health Informatics, 2017. (Accepted)
64. Guohui Wei,He Ma*,Wei Qian,Shouliang Qi,Hongyang Jiang,A Content-based Image
Retrieval Scheme for Lung Nodule Classification,Current Medical Imaging Reviews,2017.
(Accepted)
Wei Qian, Ph.D.
Page 8 of 37
65. He Huang,He Ma*,Han JW van Triest,Yinghua Wei,Wei Qian,Automatic Detection of
Neovascularization in Retinal Images using Extreme Learning Machine,Neurocomputing,
2017. (Accepted)
66. Hongyang Jiang,He Ma*,Mengdi Gao,Wei Qian, Using high resolution computed
tomography images to assess the risks of pathological change of pulmonary
parenchyma,Computed Tomography: Advances in Research and Applications, Nova Science
Publishers,2017.03.10. (Book Chapter)
67. Guohui Wei, He Ma*, Wei Qian, Xinzhuo Zhao, A content-based image retrieval scheme for
identifying lung nodule malignancy levels, 29th Chinese Control and Decision Conference
(CCDC), 2017. (Accepted)
68. Fangfang Han, Bowen Song, He Ma, Wei Qian, and Zhengrong Liang, Risk Prediction of
Small Pulmonary Nodules Based on Novel CT Image Texture Markers. In SPIE Medical
Imaging (pp. 101343Q-101343Q), 2017.
69. Peng X, Jiang G, Liu W, Zhang Q, Qian W, Sun J. Characterization of differential pore-
forming activities of ESAT-6 proteins from M. tuberculosis and M. smegmatis. FEBS Lett.
2016, 590(4): 509-19.
70. Zhang Q, Wang D, Jiang G, Liu W, Deng Q, Li X, Qian W, Ouellet H, Sun J. EsxA
membrane-permeabilizing activity plays a key role in mycobacterial cytosolic translocation
and virlence: effects of single-residue mutations at glutamine 5. Scientific Reports. 2016:
6:32618
71. Zhang, Yang; Kerr, Matthew; Guan, Fada; Hartman, Joris; Jiang, Bo; Sahoo, Narayan; Zhu,
Xiaorong; Gillin, Michael; Qian, Wei; Zhang, Xiaodong “Dose Calculation for Spot
Scanning Proton Therapy with the Application of a Range Shifter" Biomed. Phys. Eng.
Express: BPEX-100657.R1, 2017
72. Sun, Wenqing, Zheng, Bin and Qian, Wei “Automatic Feature Learning Using Multichannel
ROI Based on Deep Structured Algorithms for Computerized Lung Cancer Diagnosis”
Computers in Biology and Medicine, 2017
73. Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Jianying Zhang, Edward Saltzstein, Bin
Zheng, Fleming Lure, Hui Yu, Shi Zhou, "Using Multi-scale Texture and Density Features for
Near-term Breast Cancer Risk Analysis”, Medical Physics, 42(6) (2015), 2853-2862.
74. Wenqing Sun, Tzu-Liang Bill Tseng, Jianying Zhang, and Wei Qian. "Computerized breast
cancer analysis system using three stage semi-supervised learning method." Computer
Methods and Programs in Biomedicine 135 (2016): 77-88.
75. Hongyang Jiang, He Ma, Wei Qian, Guohui Wei. Risk Analysis for Pathological Changes in
Pulmonary Parenchyma Based on Lung Computed Tomography Images[J]. Journal of
computer assisted tomography, 2016, 40(3): 357-363.
76. Guohui Wei, He Ma, Wei Qian, Min Qiu. Similarity measurement of lung masses for medical
image retrieval using kernel based semisupervised distance metric. Medical Physics 43.12
(2016): 6259-6269.
77. Aghaei F, Tan M, Hollingsworth AB, Qian W, Liu H, Zheng B, Computer-aided breast MR
image feature analysis for prediction of tumor response to chemotherapy, Medical Physics
2015; 42:6520-6528.
78. Emaminejad N, Qian W, Guan Y, Tan M, Qiu Y, Liu H, Zheng B, Fusion of quantitative
image features and genomic biomarkers to improve prognosis assessment of early stage lung
cancer patients, IEEE Transactions on Biomedical Engineering, 2016; 63:1034-1043.
79. Yan S, Qian W, Guan Y, Zheng B, Improving lung cancer prognosis assessment by
incorporating synthetic minority oversampling technique and score fusion method, Medical
Physics 2016; 43:2694-2703.
Wei Qian, Ph.D.
Page 9 of 37
80. Wang Y, Aghaei F, Zarafshani A, Qiu Y, Qian W, Zheng B, Computer-aided classification of
mammographic masses using visually sensitive image features, Journal of X-ray Science and
technology 2016; DOI:10.3233/XST-16212.
81. Teng Y Y*, Qi S L, Dai Y, Xu L S, Qian W and Kang Y. Semi-supervised Nonnegative
Matrix Factorization with Commonness Extraction. Neural Process Lett, DOI
10.1007/s11063-016-9565-3. (SCI)
82. Yueyang Teng, Shouliang Qi, Lisheng Xu, Wei Qian and Yan Kang, A Framework for
Tikhonov-Regularized Nonnegative matrix Factorization, IEEE Transactions on Neural
Networks and Learning Systems. (under review)
83. Yueyang Teng, Yudong Yao, Shouliang Qi, Lisheng Xu, Wei Qian and Yan Kang, A
Generalization and Extension to Non-negative Matrix Factorizations, IEEE Transactions on
Pattern Analysis and Machine Learning. (under review)
84. He Huang, He Ma, Triest Han Jw Van, Yinghua Wei, Wei Qian. Automatic Detection of
Neovascularization in Retinal Images using Extreme Learning Machine[c]. The 7th
International Conference on Extreme Learning Machines, 2016. (Accepted)
85. He Ma, Tiantian Zhao, Jinghan Li, Wei Qian. Abandoned Object Detection Based on
Tachograph Videos. International Computer Symposium 2016. (Accepted)
86. Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian, “Enhancing deep
convolutional neural network scheme for breast cancer diagnosis with unlabeled data”,
Computerized Medical Imaging and Graphics, 2016, in press
87. Wenqing Sun, Tzu-Liang (Bill) Tseng, Bin Zheng, Wei Qian, “Unsupervised Feature
Learning Based on Deep Structured Algorithms for Computerized Lung Cancer Diagnosis”,
IEEE transaction on Medical Imaging, on pending
88. Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Edward C. Saltzstein, Bin Zheng, Hui Yu,
Shi Zhou, “A new near-term breast cancer risk prediction scheme based on the quantitative
analysis of ipsilateral view mammograms”, Physics in Medicine and Biology.
89. Dianning He, Xiaobing Fan, James Clarke, Wei Qian, Lisheng Xu, Simulation study
comparing different population arterial input function models of dynamic contrast enhanced
MRI, Submitted to Mathematical Biosciences (under review)
90. Dianning He, Lu Wang, Xiaobing Fan, Yang Yao, Ning Geng, Yingxian Sun, Lisheng Xu,
Wei Qian, Using an improved mathematical model of wrist pulse waveform to characterize
health volunteers and patients with cardiovascular disease – A pilot study, prepare to submit
91. Dianning He, Wei Qian, Lisheng Xu, Marta Zamora and Xiaobing Fan, Using numerical
simulations and experiments to compare different pure mathematical models for analyzing
dynamic contrast enhanced MRI data, Current Medical Imaging Reviews (Accepted with
minor revision)
92. Tan M, Qian W, Pu J, Liu H, Zheng B, A new approach to develop computer-aided detection
schemes of digital mammograms, Physics in Medicine and Biology 2015; 60:4413-4427.
93. Sun W, Tseng T, Qian W, Zhang J, Saltzstein EC, Zheng B, Lure F, Yu H, Zhou S, Using
multiscale texture and density features for near-term breast cancer risk analysis, Medical
Physics 2015; 42:2853-2862.
94. Qian W, Sun W, Zheng B, Improving the efficacy of mammography screening: the potential
and challenge of developing new computer-aided detection approaches, Expert Review of
Medical Devices, 2015; DOI:10.1586/17434440.2015.1068115.
95. Emaminejad N, Qian W, Guan Y, Tan M, Qiu Y, Liu H, Zheng B, Fusion of image features
and genomic biomarkers to improve prognosis assessment of early stage lung cancer patients,
IEEE Transactions on Biomedical Engineering, 2015; DOI:10.1109/TBME.2015.2477688.
Wei Qian, Ph.D.
Page 10 of 37
96. Aghaei F, Tan M, Hollingsworth AB, Qian W, Liu H, Zheng B, Computer-aided breast MR
image feature analysis for prediction of tumor response to chemotherapy, Medical Physics
2015; 42:6520-6528.
97. Wenqing Sun, Tzu-Liang (Bill) Tseng, Jianying Zhang, Wei Qian. Near-term Breast Cancer
Risk Analysis Algorithm Design Based on Ipsilateral View Mammograms, IEEE transaction
on medical imaging, 2015 on pending
98. Liu W, De La Torre IG, Gutiérrez-Rivera MC, Wang B, Liu Y, Dai L, Qian W, Zhang JY*.
Tumour Biology. 2015 Feb;36(2):1307-12.
99. Sun W, Tseng TL, Qian W, Zhang J, Saltzstein EC, Zheng B, Lure F, Yu H, Zhou S Using
multiscale texture and density features for near-term breast cancer risk analysis, Med Phys.
2015 Jun;42(6):2853-62. doi: 10.1118/1.4919772.
100. Liu W, Li Y, Wang B, Dai L, Qian W, Zhang JY. (2015). Autoimmune Response to IGF2
mRNA-Binding Protein 2 (IMP2/p62) in breast cancer. Scand J Immunol. 2015 Feb 26. doi:
10.1111/sji.12285. [Epub ahead of print]
101. Sun, Wenqing, Bin Zheng, Fleming Lure, Teresa Wu, Jianying Zhang, Benjamin Y.
Wang, Edward C. Saltzstein, and Wei Qian. "Prediction of near-term risk of developing
breast cancer using computerized features from bilateral mammograms." Computerized
Medical Imaging and Graphics 38, no. 5 (2014): 348-357.
102. Wenqing Sun, Tzu-Liang (Bill) Tseng, Hannah Gonzalez, Jianying Zhang, Wei Qian.
"Computerized Breast Cancer Analysis System Using Three Stage Semi-supervised Learning
Method”, Artificial Intelligence in Medicine, in pending 2014.
103. Wenqing Sun, Tzu-Liang (Bill) Tseng, Wei Qian, Jianying Zhang, Edward Saltzstein, Bin
Zheng, Fleming Lure, Hui Yu, Shi Zhou, "Using Multi-scale Texture and Density Features for
Near-term Breast Cancer Risk Analysis”, Medical Physics, 2014.
104. Ye H, Sun C, Ren P, Dai L, Peng B, Wang K, Qian W, Zhang J. (2014). Mini-array of
multiple tumor-associated antigens (TAAs) in the immunodiagnosis of breast cancer.
Oncology Letters. 5:663-668.
105. Liu X, Chai Y, Li J, Liu M, Ren P, Dai L, Qian W, Zhang JY*. (2014). Autoantibody
response to a novel tumor-associated antigen p90/CIP2A in breast cancer immunodiagnos.
Tumour Biology, 35:2661-2667.
106. Li Y, Zhang Q, Peng B, Shao Q, Qian W, Zhang JY*. Identification of glutathione S-
transferase omega 1 (GSTO1) protein as a novel tumor-associated antigen and its
autoantibody in human esophageal squamous cell carcinoma. Tumour Biol. 2014 Aug 2.
[Epub ahead of print]
107. Chai Y, Peng B, Dai L, Qian W, Zhang Y, Zhang JY*. (2014). Autoantibodies response
to MDM2 and p53 in the immunodiagnosis of esophageal squamous cell carcinoma.
Scandinavian Journal of Immunology 80:362-368.
108. Liu W, De La Torre IG, Gutierrez-Rivera MR, Wang B, Liu Y, Dai L, Qian W, Zhang
JY*. Detection of autoantibodies to multiple tumor-associated antigens (TAAs) in the
immunodiagnosis of breast cancer. Tumour Biol. 2014 October 17. [Epub ahead of print]
109. Dai L, Li J, Ortega R, Qian W, Casiano CA, Zhang JY*. Preferential Autoimmune
Response in Prostate Cancer to Cyclin B1 in a Panel of Tumor–Associated Antigens. J
Immunol Res. 2014:827827. doi: 10.1155/2014/827827. Epub 2014 Apr 17.
110. Liu W, Li Y, Wang B, Dai L, Qian W, Zhang JY*. Autoimmune response to IGF2
mRNA-binding protein 2 (IMP2/p62) in breast cancer. Scand J Immunol. Accepted 2014.
111. Tan M, Qian W, Pu J, Liu H, Zheng B, “A New Approach to Develop Computer-aided
Detection Scheme of Digital Mammograms,” Revised manuscript submitted to Physics in
Medicine and Biology, November 24, 2014.
Wei Qian, Ph.D.
Page 11 of 37
112. Emaminejad N, Qian W, Guan Y, Liu H, Zheng B, “Fusion of Quantitative Image and
Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer
Patients,” Submitted to IEEE Transaction on Biomedical Engineering, January 9, 2015.
113. Liu X, Chai Y, Ren P, Liu M, Dai L, Qian W, Li W, Zhang J. (2013). Autoantibody
response to a novel tumor-associated antigen p90/CIP2A in breast cancer immunodiagnosis.
Tumor Biology (in Press), 2013.
114. Wenqing Sun, Bin Zheng, Fleming Lure, Jianying Zhang, Benjamin Y. Wang, Edward C.
Saltzstein, Wei Qian, Prediction of Near-term Risk of Developing Breast Cancer Using
Computerized Features from Bilateral Mammograms, Computerized Medical Imaging and
Graphics, 2013
115. Ye H, Sun C, Ren P, Dai L, Peng B, Wang K, Qian W, Zhang J. (2013). Mini-array of
multiple tumor-associated antigens (TAAs) in the immunodiagnosis of breast cancer.
Oncology Letters. 5:663-668. 2013.
116. Liu X, Liu M, Dai L, Chai Y, L J, Wang P, Wang K, Song C, Jaramillo C, Qian W, Li W,
Zhang JY. Humoral autoimmune responses to insulin-like growth factor II mRNA-bingding
proteins in ovarian cancer. Molecular Biology Report (2013, Submitted)
117. Chai Y, Liu X, Dai L, Liu M, Zhu Q, Qian W, Zhang JY. Overexpression of
HCC1/CAPERα may play a role in lung cancer carcinogenesis. Lung Cancer (2013,
Submitted)
118. Dansheng Song, M.S., Tatyana A. Zhukov, Ph.D., P.M.I.A.C., Olga Markov, Ph.D., Wei
Qian, Ph.D., and Melvyn S. Tockman, Ph.D., M.D. "A New Method for Lung Cancer
Prognosis via Centrosome Image Feature Analysis" Analytical and Quantitative Cytology
and Histology, pp 122 - 136, August. 2012.
119. W Liu, B Peng, Y Lu, Wei Qian, JY Zhang. Autoantibodies to tumor-associated antigens as
biomarkers in cancer immunodiagnosis. Autoimmunity Reviews, April, 2011.
120. Pablo Rivas-Perea, Jose Gerardo Rosiles, and Wei Qian, "Subjective Colocalization
Analysis with Fuzzy Predicates" Soft Computing for Intelligent Control and Mobile
Robotics, Volume 318/2011, pp. 373-393, 2011, ISBN: 978-3-642-15533-8, Springer 2011
121. Wang K, Chen Y, Liu S, Qiu S, Gao S, Huang X, Zhang J, Peng XX, W Qian, Zhang JY.
Immunogenicity of Ral A and its tissue-specific expression in hepatocellular carcinoma. Int J
Immunopathol Pharmacol 22(3) 2009:735-743.
122. Samala R, Moreno W, You Y, Qian, Wei. A Novel Approach to Nodule Feature
Optimization on Thin Section Thoracic CT. Academic Radiology, Volume 16, Issue 4, Pages
418-427, April 2009.
123. Dansheng Song, M.S., Inna Fedorenko, B.A., Marianna Pensky, Ph.D., Melvyn Tockman,
M.D., Ph.D., Tatyana Zhukov, Ph.D. Wei Qian, Ph.D.,"Feasibility of Distinguishing
Untreated Lung Cancer Cells and Normal cells through Quantitative Calculation and
Statistical Analysis of Centrosomal Features" Analytical and Quantitative Cytology and
Histology, pp 78 - 89, Sept. 2009.
124. Qian, W., Yao, Y., Lei, M. Song, D. and Romilly, PA. Similarity/Rotation Invariant
Enhancement using Fourier Descriptors in Digital Mammography. Book Chapter of
Biomedical Imaging Handbook by Elsevier, September 2008.
125. Walker H. Land, Daniel W. McKee, Tatyana Zhukov, Dansheng Song, Wei Qian, “A
kernelised fuzzy-Support Vector Machine CAD system for the diagnosis of lung cancer from
tissue images”, International Journal of Functional Informatics and Medicine, Volume 1,
Number 1 Jan. 2008, pp 26 – 52.
126. Qian W, Minshan Lei, Dansheng Song, Ravi Sankar, and Edward Eikman, “Computer Aided
Mass Detection based on Ipsilateral Multi-view Mammograms”. Academic Radiology, Vol.
14, No. 5, May of 2007, pp530 - 538.
Wei Qian, Ph.D.
Page 12 of 37
127. Zhukov TA, Pottackal S, Monteiro A, Martino M, Lancaster J, Qian W, Tockman
MS, Protein Microarrays and Quantum Dot-Probes for Early Cancer Detection, Journal of
Colloids and Surfaces B: Biointerfaces, pp 231-245, Nov. of 2006.
128. Zajac A, Song DS, Qian W, Zhukov TA. Protein Microarrays and Quantum Dot-Probes for
Early Cancer Detection. Colloids and Surfaces B: Biointerfaces, 58 (2007) pp 309-314 .
129. Qian Wei, Zhukov TA, Song, M.Sc and Tockman MS, “Computerized Analysis of Cellular
Features and Biomarkers for Cytologic Diagnosis of Early Lung Cancer.” Journal of Analytical
and Quantitative Cytology and Histology, Vol. 10, PP 18-28 April. 2007.
130. Luo P, Eikman E, Kealy W, & Qian, W. “An Analysis of a Mammography Teaching Program
Based on an Affordance Design Model”. Academic Radiology. 12(11): 1112-1123, 2006
131. Zhang Y., Sankar, R. and Qian, W., Boundary Delineation in Transrectal Ultrasound Image
for Prostate Cancer, Computers in Biology and Medicine, pp 65-77, Vol. 37, Issue 11,
November 2007.
132. Zhukov TA, Pottackal S, Monteiro A, Martino M, Lancaster J, Qian W., Song DS, Cantor AB,
Sellers TA, Tockman MS. Novel Lung Cancer Biomarker -H2AX (Marker of DNA Damage
Response) and Estrogen Receptors Pathways: Do They Crosstalk? Journal of Thoracic
Oncology, pp323- 354, 2006.
133. Luo, P., Qian, W., Romilly, P. CAD-aided mammogram training. Academic Radiology,
12:1039-1048, 2005.
134. Qian, W., Sankar, R., Song, X., Sun, X. and Clark, R. Standardization for image
characteristics in telemammography using genetic and nonlinear algorithms. Computers in
Biology and Medicine, 35:183-196, 2005
135. Sun, X., Qian, W., and Song, D. Ipsilateral-Mammogram Computer-Aided Detection of Breast
Cancer. Computerized Medical Imaging and Graphics, 28:151-158, 2004.
136. Zhang, L., Sankar. R. and Qian, W.. Advances in micro-calcification clusters detection in
mammography. Computers in Biology and Medicine, pp1-14, July, 2002.
137. Qian, W., Xunjue Sun, and R. Clark. Multi-resolution/Multi-orientation Based Nonlinear
Filters for Image Enhancement and Detection in Digital Mammography. Journal of X-Ray
Science and Technology 9, 2002, 1-15 XST 54. The Netherlands.
138. Qian, W., Fei Mao, DanSheng Song, Xuejun Sun and R. A. Clark. An Improved Method of
Region Grouping for Micro-calcification Detection in Digital Mammograms. Computerized
Medical Imaging and Graphics, 26:361-368, 2002.
139. Qian, W., Sun, XJ., Song, DS and Clark, R. A. Digital Mammography: Wavelet Transform
and Kalman Filtering Neural Network in Mass Segmentation and Detection. Academic
Radiology, Aug. 2001, pp1074-1082.
140. Qian, W., A Novel Hybrid Filter Architecture for Image Enhancement in Medical Imaging,
Chapter in the Handbook of Medical Image Processing. Academic Press, pp57-69, 2000.
141. Qian, W., Li, LH., Clarke,LP., and Clark, RA. Digital Mammography: Comparison of
Adaptive and Non-Adaptive CAD Methods for Mass Detection. Academic Radiology, 6:471-
480, 1999.
142. Qian, W., Mao, F., Gaviria ,J. and Clarke, LP. "Fragmentary Window Filtering for Multiscale
Lung Nodule Detection: Preliminary Study," Academic Radiology, Vol. 5, No.4, April 1998,
pp306-311.
143. Qian, W., Li LH. and Clarke, LP. Image feature extraction for mass detection using digital
mammography: Influence of wavelet analysis. Medical Physics, 26:402-408, 1999.
144. Qian, W., Li, HD., Kallergi, M., Song, DS., and Clarke, LP. Adaptive Neural Network for
Nuclear Medicine Images Restoration. Journal of VLSI Signal Processing Systems for Signal,
Image, and Video Technology, 18:297-315, 1998.
Wei Qian, Ph.D.
Page 13 of 37
145. Qian, W. and Clarke LP, Digital Mammography: Hybrid 4-Channel Wavelet Transform for
Microcalcification Segmentation. Academic Radiology, 5:354-364, 1998.
146. Li. L, Qian, W., Clarke LP and Clark RA, Digital Mammography: Directional Wavelet
Analysis for Feature Extraction and Mass Detection. Academic Radiology, 4:724-731, 1997.
147. Qian, W and Clarke LP, Wavelet-based neural network with fuzzy-logic adaptivity for nuclear
image restoration. Proceedings of IEEE, Special Issue on Applications of Neural Networks,
Invited paper, Oct. 1996 pp1458-1473.
148. Li, HD, Kallergi M, Qian W, Jain VJ, and Clarke LP. Neural network with maximum entropy
constraint for nuclear medicine image restoration. Optical Engineering, 34:1431-1440, 1995.
149. Zheng, BY., Qian, W. and Clarke LP. Digital mammograghy: MF-based NN for automatic
detection of microcalcifications, IEEE Trans. on Medical Imaging, 589-598, 1996.
150. Qian, W., Clarke LP, and Kallergi M. A restoration algorithm for P-32 and Y-90
bremsstrahlung emission nuclear imaging: A Wavelet-neural network approach. Med. Phys.
23:1309-1323, 1996.
151. Qian, W., Clarke L.P., Kallergi M., and Clark R.A., Tree structured nonlinear filters in Digital
mammography. IEEE Trans. Med. Imag. 25-37, 1994.
152. Lucier BJ, Kallergi M, Qian W, DeVore RA, Clark RA, Saff EB, and Clarke LP. Wavelet
compression and segmentation of mammographic images. J of Dig Imag 27-37, 1994.
153. Zhang, Y. Kallergi M, DeVore R, Lucier BJ, Qian W, Clark RA, and Clarke LP. Digital
mammogram compression with standard, hyperbolic, and adaptive wavelets. IEEE Engineering
in Medicine and Biology Magazine, Invited Paper, 14:570-577, 1995.
154. Qian, W., Clarke L.P., Kallergi M., Baoyu Zheng and Clark R.A., Wavelet Transform for
Computer Assisted Diagnosis (CAD) for Digital Mammography IEEE Engineering in
Medicine and Biology Magazine, Invited Paper, 14:561-569, 1995.
155. Qian, W., Clarke L.P., Li H.D., Kallergi M., Clark R.A., and Silbiger M.L., Application of M-
Channel Quadrature Mirror Filters for Microcalcification Extraction in Digital Mammography.
Computerized Medical Imaging and Graphics, 18:301-314, 1993.
156. Clarke L.P., Kallergi M., Qian W., Li H.D., Clark R.A., and Silbiger M.L., Tree-Structured
Non-linear filter and Wavelet Transform for microcalcification segmentation in digital
mammography, Cancer Letters 77:173-181, 1994.
157. Qian, W., Kallergi M.,Clarke L.P.,Li H.D., Venugopal P, Song DS, Clark R.A.,Tree-structured
filter and wavelet transform for microcalcification segmentation in digital mammography.
Med. Phys. 22:1247-1254, 1995.
158. Qian W., Kallergi M. and Clarke L.P. Order Statistic-Neural Network Hybrid Filters for
Gamma Camera Image Restoration. IEEE Trans. in Medical Imaging, 56-65, 1993.
159. Richards D, Clarke L.P, Qian, W, CCD Imaging of the nerve fiber layer of the human retina.
Graefe's Arch Clin Exp Aphthomalogy, 595-599, 1993
160. Kallergi M, Woods K, Clarke LP, Qian, W, and Clark RA. Image Segmentation in Digital
Mammography: Comparison of Local Thresholding and Region Growing. Algorithms.Comp
Med Imag Graph, 16:323-331, 1992.
161. Qian, W. The Modeling and Recognition of 3-D Images by Space Markov Cubic Mesh
Models, Journal of Electronics, Vol.4, 23-31 1990.
162. Qian, W. Multi-Adaptive Nonlinear Two-Dimensional Filterings. ACTA ELECTRONICA
SINICA, Vol.5, 72-88 1990.
163. Qian, W. 3-D Recursive Digital Filtering with Linear-phase. Signal Processing, Vol.3, 35-47,
1989.
164. Qian, W. The Modeling of 3-D Images and Space Markov Cubic Mesh Models. Journal of
Electronics, 6:64-78, 1989.
165. Qian, W. and Ouyan M. 2-D Recursive Digital Filtering on Symmetry Constraints. Journal of
Wei Qian, Ph.D.
Page 14 of 37
China Institute of Communications, 8:53-58, 1987.
166. Qian, W. and Ouyan M. The Optimal Design of 2-D Recursive Digital Filters on the Basis of
Symmetry. Journal of China Institute of Communications, 7:84-92, 1986.
Invited Publications
Invited paper: Autoimmunity Reviews
Invited book chapter: Soft Computing for Intelligent Control and Mobile Robotics, ISBN:
978-3-642-15533-8
Invited paper: Proceedings of the IEEE, Special Issue on Neural Network Applications.
Invited paper: IEEE Eng. in Medicine and Biology Magazine, Wavelets for Image Analysis
Invited paper: World Congress on Neural Networks, Washington, D.C.
Invited paper: World Congress on Neural Networks, San Diego, California
Proceeding Papers/Conference Presentations/Plenary Presentations:
1. Mengdi Gao, Hongyang Jiang, Dongdong Zhang, He Ma, Wei Qian, “Quantitative
pathologic analysis of pulmonary nodules using three-dimensional computed tomography
images based on latent Dirichlet allocation”, 2019 41st Annual International Conference of
the IEEE Engineering in Medicine and Biology Society (EMBC), 23-27 July 2019. Berlin,
Germany.
2. Hongyang Jiang, Kang Yang, Mengdi Gao, Dongdong Zhang, He Ma, Wei Qian, “ An
Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease
Classification” 2019 41st Annual International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC), 23-27 July 2019. Berlin, Germany.
3. He Huang, He Ma, Wei Qian, “Automatic Parallel Detection of Neovascularization from
Retinal Images Using Ensemble of Extreme Learning Machine”, 2019 41st Annual
International Conference of the IEEE Engineering in Medicine and Biology Society
(EMBC), 23-27 July 2019. Berlin, Germany.
4. Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian,
Yuchen Qiu, Bin Zheng, “Association of computer-aided detection results and breast
cancer risk”, Medical Imaging 2019: Computer-Aided Diagnosis, Volume 10950.
5. Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei
Qian, Yuchen Qiu, Bin Zheng, “Assessment of a quantitative mammographic imaging
marker for breast cancer risk prediction”, Medical Imaging 2019: Image Perception,
Observer Performance, and Technology Assessment, Vol. 10952.
6. Xinzhuo Zhao, Wenqing Sun, Wei Qian, Shouliang Qi, Jianjun Sun, Bo Zhang, Zhigang
Yang, “Fine-grained lung nodule segmentation with pyramid deconvolutional neural
network”, Medical Imaging 2019: Computer-Aided Diagnosis, Vol. 10950.
7. Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei
Qian, Yuchen Qiu, Bin Zheng, “Assessment of a quantitative mammographic imaging
marker for breast cancer risk prediction”, Medical Imaging 2019: Image Perception,
Observer Performance, and Technology Assessment, Vol. 10952.
8. Fangfang Han, Linkai Yan, Chen Li, Shouliang Qi, William Moore, Zhengrong Liang*,
Wei Qian*, "Predicting unnecessary nodule biopsy for a small lung cancer screening
dataset by less-abstractive deep features", 20 February 2019 • 5:30 - 7:00 PM | Part of SPIE
Medical Imaging.
Wei Qian, Ph.D.
Page 15 of 37
9. Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei
Qian, Yuchen Qiu, Bin Zheng “Assessment of a quantitative mammographic imaging
marker for breast cancer risk prediction” 21 February 2019 • 2:20 - 2:40 PM | Part of SPIE
Medical Imaging.
10. Chuan Zhou, Qian Dong, Heang-Ping Chan, Erica L. Campagnaro, Jun Wei, Lubomir M.
Hadjiiski “Quantitative MRI biomarker for treatment response assessment of multiple
myeloma: robustness evaluation using independent test set of prospective cases” 20
February 2019 • 5:30 - 7:00 PM | Part of SPIE Medical Imaging
11. Seyedeh-Nafiseh Mirnia-harikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian,
Yuchen Qiu, Bin Zheng “Association of computer-aided detection results and breast
cancer risk” 17 February 2019 • 3:30 - 3:50 PM | Part of SPIE Medical Imaging.
12. Xinzhuo Zhao, Wenqing Sun, Wei Qian, Shouliang Qi, Jianjun Sun, Bo Zhang, Zhigang
Yang “Fine-grained lung nodule segmentation with pyramid deconvolutional neural
network” 20 February 2019 • 5:30 - 7:00 PM | Part of SPIE Medical Imaging
13. He Huang, He Ma, Wei Qian. Automatic Parallel Detection of Neovascularization in
Retinal Images Using Ensemble of Extreme Learning Machine, in proceeding of the 9th
International Conference on Extreme Learning Machines, 2018.
14. Wang Y, Heidari M, Mirniaharikandehei S, Gong J, Qian W, Qiu Y, Zheng B, A Hybrid
deep learning approach to predict malignancy of breast lesions using mammograms, Proc
SPIE 2018; 10579-29.
15. Aghaei F, Danala G, Wang Y, Zarafshani A, Qian W, Liu H, Zheng B, Association
between mammogram density and background parenchymal enhancement of breast MRI,
Proc SPIE 2018; 10575-94.
16. Heidari M, Zargari A, Danala G, Mirniaharikandehei S, Qian W, Zheng B, Applying a
machine learning model using a locally preserving projection based feature regeneration
algorithm to predict breast cancer risk, Proc SPIE 2018; 10579-27.
17. Wenqing Sun, Bin Zheng, Xia Huang, Wei Qian, "Balance the nodule shape and
surroundings: a new multichannel image based convolutional neural network scheme on
lung nodule diagnosis", Proceedings of SPIE Vol. 10134, 101343L (2017)
18. Wenqing Sun, Xia Huang, Tzu-Liang B. Tseng, Wei Qian, "Automatic lung nodule graph
cuts segmentation with deep learning false positive reduction", Proceedings of SPIE Vol.
10134, 101343M (2017)
19. Xia Huang, Chunqiang Li, Chuan Xiao, Wenqing Sun, Wei Qian, "A fully-automated
multiscale kernel graph cuts based particle localization scheme for temporal focusing two-
photon microscopy", Proceedings of SPIE Vol. 10137, 101371I (2017)
20. Wenqing Sun, Bin Zheng, Wei Qian. “Computer aided lung cancer diagnosis with deep
learning algorithms.” SPIE Medical Imaging 2016. International Society for Optics and
Photonics.
21. Wenqing Sun, Xia Huang, Tzu-Liang B. Tseng, Jianying Zhang, Wei Qian. “Computerized
lung cancer malignancy level analysis using 3D texture features.” In SPIE Medical Imaging
2016. International Society for Optics and Photonics.
22. Wenqing Sun, Xia Huang, Chunqiang Li, Chuan Xiao, Wei Qian. “A novel kalman filter
based video image processing scheme for two-photon fluorescence microscopy.” In SPIE
Medical Imaging 2016. International Society for Optics and Photonics.
23. Wenqing Sun, Tzu-Liang Bill Tseng, Bin Zheng, and Wei Qian. “A Preliminary Study on
Breast Cancer Risk Analysis Using Deep Neural Network.” In International Workshop on
Digital Mammography, pp. 385-391. Springer International Publishing, 2016.
24. Wenqing Sun, Tzu-Liang Bill Tseng, Bin Zheng, Jiangying Zhang, and Wei Qian. “A
Novel Breast Cancer Risk Assessment Scheme Design Using Dual View Mammograms.”
Wei Qian, Ph.D.
Page 16 of 37
In International Workshop on Digital Mammography, pp. 392-399. Springer International
Publishing, 2016.
25. Wenqing Sun, Tzu-Liang B. Tseng, Bin Zheng, Jianying Zhang, Wei Qian. “A new breast
cancer risk analysis approach using features extracted from multiple sub-regions on
bilateral mammograms.” In SPIE Medical Imaging 2016 (pp. 941422-941422).
International Society for Optics and Photonics.
26. Dianning He, Wei Qian, Lisheng Xu, Xiaobing Fan, Using numerical simulations to
compare and evaluate different mathematical models for analyzing dynamic contrast
enhanced MRI data, ISMRM 2016.
27. Zheng B, Qian W, Li L, Pu J, Kang Y, Lure F, Tan M, Qiu Y, A new CAD approach for
improving efficacy of cancer screening, Proc SPIE 2015; 941424 (20 March 2015) DOI:
10.1117/12.2076775.
28. Emaminejad N, Qian W, Guan B, Kang Y, Lure F, Zheng B, Exploring new quantitative
CT image features to improve assessment of lung cancer prognosis, Proc SPIE 2015;
94141M (20 March 2015) DOI:10.1117/12.2081617.
29. Dhurjaty S, Qiu Y, Tan M, Qian W, Zheng B, A new paradigm of dielectric relaxation
spectroscopy for non-invasive detection of breast abnormalities: a preliminary feasibility
analysis, Proc SPIE 2016; 97832P (March 29, 2016); DOI:10.1117/12.2217196.
30. Tan M, Aghaei F, Wang Y, Qian W, Zheng B, Improving the performance of lesion-based
computer-aided detection schemes of breast masses using a case-based adaptive cueing
method, Proc SPIE 2016; 97851V (March 24, 2016); DOI:10.1117/12.2216313.
31. Sun W, Zheng B, Qian W, Computer aided lung cancer diagnosis with deep learning
algorithms, Proc SPIE 2016; 97850Z (March 24, 2016); DOI:10.1117/12.2216307.
32. Emaminejad N, Yan S, Wang Y, Qian W, Guan Y, Zheng B, Applying a radiomics
approach to predict prognosis of lung cancer patients, Proc SPIE 2016; 97851E (March 24,
2016); DOI:10.1117/12.2214672.
33. Emaminejad N, Qian W, Guan B, Kang Y, Lure F, Zheng B, Exploring new quantitative
CT image features to improve assessment of lung cancer prognosis, Proc SPIE 2015;
94141M (20 March 2015) doi:10.1117/12.2081617.
34. Wenqing Sun, Tzu-Liang B. Tseng, Bin Zheng, Jianying Zhang, Wei Qian. “A new breast
cancer risk analysis approach using features extracted from multiple sub-regions on
bilateral mammograms.” SPIE Medical Imaging, 2015
35. Wenqing Sun , Xia Huang, Jianying Zhang, Wei Qian, Computerized lung cancer
malignancy level analysis using 3D texture features, SPIE medical imaging 2016
36. Wenqing Sun, Bin Zheng, Wei Qian, Computer aided lung cancer diagnosis with deep
learning algorithms, SPIE medical imaging 2016
37. Wenqing Sun , Xia Huang, Chunqian Li, Chuan Xiao, Wei Qian, A novel Kalman filter
based video image processing scheme for two-photon fluorescence microscopy, SPIE
medical imaging 2016
38. Liping Dai, Pei Li, Jitian Li, Chenglin Luo, Yumin Lu, Carlos A. Casiano, Eng M. Tan,
Wei Qian, Jian-Ying Zhang. Hallmark of immune responses to multiple tumor-associated
antigens (TAAs) in immunodiagnosis of hepatocellular carcinoma (HCC) and other solid
tumors. Annual Meeting of AACR (American Association for Cancer Research), April
2015
39. Jitian Li, Liping Dai, Carlos A. Casiano, Wei Qian and Jianying Zhang. Evaluation and
characterization of anti-RalA autoantibody as a potential biomarker in human prostate
cancer. Annual Meeting of AACR (American Association for Cancer Research), April
2015
Wei Qian, Ph.D.
Page 17 of 37
40. Jitian Li, Liping Dai, Carlos A. Casiano, Wei Qian and Jianying Zhang. Evaluation and
characterization of anti-RalA autoantibody as a potential biomarker in human prostate
cancer. BBRC, Sept. 2015, El Paso
41. Jianxiang Shi, Hao Sun, Hongfei Zhang, Pei Li, Liping Dai, Wei Qian and Jianying Zhang.
A panel of 15 TAAs in the detection of ovarian cancer. BBRC, Sept. 2015, El Paso
42. Jianxiang Shi, Hao Sun, Hongfei Zhang, Pei Li, Liping Dai, Wei Qian and Jianying Zhang.
Systematic Discovery of Biomarkers for Ovarian Cancer. BBRC, Sept. 2015, El Paso
43. Jianxiang Shi, Hao Sun, Hongfei Zhang, Pei Li, Liping Dai, Wei Qian and Jianying Zhang.
Evaluation and validation of IMP2 (IMP1, P62, Koc) as TAAs biomarkers in acute myeloid
leukemia (AML). BBRC, Sept. 2015, El Paso
44. Hongfei Zhang, Jianxiang Shi, Hao Sun, Pei Li, Liping Dai, Wei Qian and Jianying Zhang.
A panel of IgG type autoantibodies to multiple tumor-associated antigens in the diagnosis
of esophageal squamous cell cancer. BBRC, Sept. 2015, El Paso
45. Liping Dai, Pei Li, Jitian Li, Chenglin Luo, Yumin Lu, Carlos A. Casiano, Eng M. Tan,
Wei Qian and Jian-Ying Zhang. Hallmark of immune responses to multiple tumor-
associated antigens (TAAs) in immunodiagnosis of hepatocellular carcinoma (HCC) and
other solid tumors. BBRC, Sept. 2015, El Paso
46. Bin Zheng, Wei Qian, Lihua Li, Jiantao Pu, Yan Kang, Fleming Yuan Ming Lure, Maxine
Tan, Yuchen Qiu A new CAD approach for improving efficacy of cancer screening 23
February 2015 • 5:30 - 7:00 PM | Part of SPIE Medical Imaging
47. Nastaran Emaminejad, Wei Qian, Yan kang, Yubao Guan, Bin Zheng Exploring new
quantitative CT image features to improve assessment of lung cancer prognosis 25
February 2015 • 8:40 - 9:00 AM | Part of SPIE Medical Imaging
48. Wenqing Sun, Tzu-Liang B. Tseng, Bin Zheng, Wei Qian A new breast cancer risk
analysis approach using features extracted from multiple sub-regions on bilateral
mammograms 23 February 2015 • 5:30 - 7:00 PM | Part of SPIE Medical Imaging.
49. Wenqing Sun, Tzu-Liang Tseng, Bin Zheng, Wei Qian. Using undiagnosed data to enhance
computerized breast cancer analysis with a three stage data labeling method ( SPIE
Medical Imaging 2014 Conference Proceedings) Authors: Published: 20 Mar 2014
50. Maxine Tan, Nastaran Emaminejad, Wei Qian. Evaluation of correlation between CT
image features and ERCC1 protein expression in assessing lung cancer prognosis (SPIE
Medical Imaging 2014 Conference Proceedings), Published: 11 Mar 2014
51. Bin Cao, Sayan Chakraborty, Wenqing Sun, Wei Qian. Imaging marine virus CroV and its
host Cafeteria roenbergensis with two-photon microscopy (SPIE Medical Imaging 2014
Conference Proceedings) Published: 27 Feb 2014
52. Lure, Ph.D., MS Technologies Corporation; Wei Qian, Ph.D. “Use of Patient-Centric
Electronic Health Record and Big Data Analytics to Reduce Hospital Readmission”, 2014
Open Source Summit: Global Collaboration in Health IT, September 3-5 at the Bethesda,
Maryland.
53. Wenqing Sun, Tzu-Liang (Bill) Tseng, Sergio Cabrera, Jiangying Zhang, Miguel Vélez-
Reyes, Wei Qian, "Using Undiagnosed Data to Enhance Computerized Breast Cancer
Analysis with a Three Stage Data Labeling Method", Proceedings of SPIE Medical
Imaging, in San Diego, California USA 16-20 February 2014.
54. Bin Zheng, Fleming Lure and Wei Qian “Evaluation of correlation between CT image
features and ERCC1 gene expression in assessing lung cancer prognosis,” Proceedings of
SPIE Medical Imaging, in San Diego, California USA 16-20 February 2014
55. Maxine Tan, Nastaran Emaminejad, Wei Qian, Fleming Lure, Bin Zheng, Evaluation of
Correlation between CT Image Features and ERCC1 Gene Expression in Assessing Lung
Cancer Prognosis, Proceedings of SPIE Medical Imaging, 2014.
Wei Qian, Ph.D.
Page 18 of 37
56. Li Y, Peng B, Lei N, Qian W, Francia G, Zhang JY. P62/IMP2 promotes breast cancer cell
progression. American Association for Cancer Research (AACR) Annual Proceeding, San
Diego, CA. (April 2014).
57. Samala, R., Leung, M. Y., Cabrera, S., Zhang, J., Moreno, W., Qian, W. Volume of
Interest (VOI)-Based Retrieval using Psychophysical Similarity and Graph Cut, IEEE
Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis,
2012.
58. Dansheng Song, Tatyana Zhukov, Olga Markov, Wei Qian, Melvyn Tockman,
PROGNOSIS OF STAGE I LUNG CANCER PATIENTS THROUGH QUANTITATIVE
ANALYSIS OF CENTROSOMAL FEATURES, IEEE International Symposium on
Biomedical Imaging: From Nano to Macro 2 – 5 May, 2012 • Barcelona, Spain
59. Akshay Pai, Ravi K. Samala, Venkata S. Potunuru,Sergio D. Cabrera, Wei Qian
POTENTIAL DIAGNOSTIC APPLICATION OF UWB MICROWAVE IMAGING
Proceedings of SPIE Symposium on Medical Imaging, in San Diego, California USA,
February 13-18, 2011.
60. Peng B, Lei N, Peng X, Qian W, Tan EM, Zhang J. p90/CIP2A may play a role in
regulating the phosphrylation of CREB1 in cancer. American Association for Cancer
Research (AACR) Annual Proceeding, Chicago, IL. (April 2012).
61. Peng B, Liu S, Qian W, Chan EKL, Tan EM, Zhang J. Immune response to a fetal
oncoprotein p90/CIP2A in lung cancer. American Association for Cancer Research
(AACR) Annual Proceeding, Washington DC. (April 2010).
62. Samala R, Zhukov T, Zhang J, Tockman M, Qian W., "Combinational Feature
Optimization for Classification of Lung Tissue Images", Proceedings of SPIE Symposium
on Medical Imaging, in San Diego, California USA, February 13-18, 2010.
63. Kanaka K, Samala R, Zhang J, Qian W., " Reliability Study of Reconstruction methods in
Tomosynthesis Imaging of various Geometrical Objects", Proceedings of SPIE Symposium
on Medical Imaging, in San Diego, California USA, February 13-18, 2010.
64. Pai A, Samala R, Zhang J, Qian W., " Similarity based False-Positive reduction for Breast
Cancer using Radiographic and Pathologic Imaging Features" ", Proceedings of SPIE
Symposium on Medical Imaging, in San Diego, California USA, February 13-18, 2010.
65. Samala, R. K., Potunuru V. S., Zhang, J., Cabrera, S. D., Qian, W. Comparative Study of
Feature Measures for Histopathological Images of the Lung. Imaging and Applied Optics
Congress, Tucson, Arizona, 2010.
66. Pablo Rivas-Perea, Gerardo Rosiles, and Wei Qian, "Fuzzy Predicates from Linguistic
Variables for Subjective Quantitative Colocalization Analysis", Proc. 10th U.S. National
Congress for Computational Mechanics, 7/2009
67. Pablo Rivas-Perea, Gerardo Rosiles, and Wei Qian, "Self Organizing Maps for Class
Discovery in the Quantitative Colocalization Analysis Feature Space", Proc. 2009 IEEE
International Joint Conference on Neural Networks, 6/2009
68. P. Rivas Perea, J.G. Rosiles, W. Qian, "Image Restoration for Quantitative Colocalization:
Performance Analysis and Response of Colocalization Coe cients", Proc. 3rd Annual Texas
Tech University, Health Sciences Center (TTUHSC) Paul L. Foster School of Medicine
Research Colloquium, 5/2009
69. P. Rivas Perea, J.G. Rosiles, W. Qian, "Automatic Quantitative Colocalization Analysis:
An Image Restoration and Machine Learning Approach", Proc. 2009 UTEP SACNAS
Research Expo, 4/2009
70. Samala, R., Moreno, W., Danshong,S., You, Y., Qian, W., "Knowledge based Optimum
Feature Selection for Lung Nodule Diagnosis on Thin Section Thoracic CT," Proceedings
of the SPIE, Volume 7260, pp. 726036-726036-8, 2009.
Wei Qian, Ph.D.
Page 19 of 37
71. Samala, R., Leung, M. Y., Cabrera, S., Zhang, J., Moreno, W., Qian, W. Volume of Interest
(VOI)-Based Retrieval using Psychophysical Similarity and Graph Cut, IEEE Computer
Society Workshop on Mathematical Methods in Biomedical Image Analysis, 2012.
72. Dansheng Song, Tatyana Zhukov, Olga Markov, Wei Qian, Melvyn Tockman,
PROGNOSIS OF STAGE I LUNG CANCER PATIENTS THROUGH QUANTITATIVE
ANALYSIS OF CENTROSOMAL FEATURES, IEEE International Symposium on
Biomedical Imaging: From Nano to Macro 2 – 5 May, 2012 • Barcelona, Spain
73. Akshay Pai, Ravi K. Samala, Venkata S. Potunuru,Sergio D. Cabrera, Wei Qian
POTENTIAL DIAGNOSTIC APPLICATION OF UWB MICROWAVE IMAGING
Proceedings of SPIE Symposium on Medical Imaging, in San Diego, California USA,
February 13-18, 2011.
74. Samala R, Zhukov T, Zhang J, Tockman M, Qian W., "Combinational Feature
Optimization for Classification of Lung Tissue Images", Proceedings of SPIE Symposium
on Medical Imaging, in San Diego, California USA, February 13-18, 2010.
75. Kanaka K, Samala R, Zhang J, Qian W., " Reliability Study of Reconstruction methods in
Tomosynthesis Imaging of various Geometrical Objects", Proceedings of SPIE Symposium
on Medical Imaging, in San Diego, California USA, February 13-18, 2010.
76. Pai A, Samala R, Zhang J, Qian W., " Similarity based False-Positive reduction for Breast
Cancer using Radiographic and Pathologic Imaging Features" ", Proceedings of SPIE
Symposium on Medical Imaging, in San Diego, California USA, February 13-18, 2010.
77. Samala, R. K., Potunuru V. S., Zhang, J., Cabrera, S. D., Qian, W. Comparative Study of
Feature Measures for Histopathological Images of the Lung. Imaging and Applied Optics
Congress, Tucson, Arizona, 2010.
78. Pablo Rivas-Perea, Gerardo Rosiles, and Wei Qian, "Fuzzy Predicates from Linguistic
Variables for Subjective Quantitative Colocalization Analysis", Proc. 10th U.S. National
Congress for Computational Mechanics, 7/2009
79. Pablo Rivas-Perea, Gerardo Rosiles, and Wei Qian, "Self Organizing Maps for Class
Discovery in the Quantitative Colocalization Analysis Feature Space", Proc. 2009 IEEE
International Joint Conference on Neural Networks, 6/2009
80. P. Rivas Perea, J.G. Rosiles, W. Qian, "Image Restoration for Quantitative Colocalization:
Performance Analysis and Response of Colocalization Coe cients", Proc. 3rd Annual Texas
Tech University, Health Sciences Center (TTUHSC) Paul L. Foster School of Medicine
Research Colloquium, 5/2009
81. P. Rivas Perea, J.G. Rosiles, W. Qian, "Automatic Quantitative Colocalization Analysis:
An Image Restoration and Machine Learning Approach", Proc. 2009 UTEP SACNAS
Research Expo, 4/2009
82. Samala, R., Moreno, W., Danshong,S., You, Y., Qian, W., "Knowledge based Optimum
Feature Selection for Lung Nodule Diagnosis on Thin Section Thoracic CT," Proceedings
of the SPIE, Volume 7260, pp. 726036-726036-8, 2009.
83. Zhukov, TA., Pottackal, S., Monteiro, A., Qian, W., Song, D., Cantor AB., Sellers, TA,
Tockman, M. Novel Biomarkers for Lung Cancer: Is there any crosstalk between DNA
damage response and estrogen receptors pathways? Proc. of 4th Annual International Conf.
Frontiers in Cancer Prevention Research, Baltimore, Maryland, Oct. 30th, 2005
84. Hongshun Su, Qian, W., Sun XJ and Sankar R. A NEW KNOWLEDGE-BASED LUNG
NODULE DETECTION SYSTEM" Proceeding of ICASSP 2004 in Montreal, Canada
85. Sun, X., Qian, W., and Song, D. Three-class classification in computer-aided diagnosis of
breast cancer by support vector machine. Medical Imaging 2004, International SPIE Conf.,
San Diego, CA, USA, 14-19 February, 2004
Wei Qian, Ph.D.
Page 20 of 37
86. Sun, X., Qian, W., and Song, D. Ipsilateral-Mammogram Computer-Aided Detection of
Breast Cancer. Computerized Medical Imaging and Graphics, 28:151-158, 2004
87. X. J. Sun, Qian, W. Computer-aided detection of lung nodule on helical CT. 8th World
Multiconference on Systemics, Cybernetics and Informatics (SCI 2004), Orlando, USA,
2004.
88. Qian, W., Kun, LK., Yu, J. and Yudong, Y. Feature Extraction of Cancer Cells Using
Wavelet Transform. 7th World Multi- Conf. on Systemics, Cybernetics and Informatics
(SCI 2003), Orlando, FL, July 27-30, 2003.
89. Qian, W., Zhang Y, Sun XJ, Song DS and Sankar R. A New Computer-aided
Diagnosis System for Prostate Cancer Detection on TRUS imaging. Procs of 9th
IASTED International Conf. on Signal and Image Processing, August 13-15, 2003,
Honolulu, Hawaii, USA
90. Qian, W., Li K, Sun XJ, Song DS and Sharma A. Computer-aided Pathological Diagnosis
for Lung Cancer Cell Detection. Procs of 9th IASTED International Conf. on Signal and
Image Processing, August 13-15, 2003, Honolulu, Hawaii, USA
91. Shen, Y., Sankar, R., Qian, W., Sun, X., and Song, D. Fuzzy Image Segmentation For
Lung Nodule Detection. Proc. of IEEE, International Conf. on Acoustics, Speech, and
Signal Processing, 6-10 April 2003 in Hong Kong.
92. Hongshun Su, Qian, W., Sun XJ and Sankar R, A new knowledge-based nodule detection
system in lung CT: Preliminary study. Proc. of 9th IASTED International Conf. on Signal
and Image Processing, August 13-15, 2003, Honolulu, Hawaii, USA
93. Kallergi, M., Qian, W., Jerry A., Thomas, J., Eberhard W. ,Bernhard E, Claus EH and
Clark RA. CAD methodology transfer from 2D to 3D digital mammography for
calcification enhancement and segmentation: A feasibility study. International Workshop
on Digital Mammography, June, 2002, Germany
94. Sun, XJ., and Qian, W. System Oriented Optimization of CAD for Mass Detection in
Digital Mammography. SPIE international Symposium on Medical Imaging, 23-28
February 2002, San Diego, California USA
95. Song, XS., Qian, W., and Ravi S. Standardization for image characteristics in
telemammography. Proc. of IEEE ICASSP'2002, Orlando Florida, May 13-17, 2002
96. Qian, W., Song, DS., Sun, XJ. Multistage statistical order with neural network for false
positive reduction in full field digit mammography on Nonlinear Signal and Image
Processing. June 3-6, 2001 Baltimore, USA
97. Sun, XJ., Qian, W., Song, DS., and Clark, RA. Ipsilateral Multi-View CAD System for
Mass Detection in Digital Mammography. IEEE Computer Society Conf. on Computer
Vision and Pattern Recognition, 9-14. December 2001 Kauai, Hawaii USA
98. Qian, W., Sun, XJ., Liu. H., and Clark, RA. Wavelet-based image processing for digital
mammography. Invited paper and Invited symposium speaker: Wavelet Application in
Signal and Image Processing VIII, SPIE's International Symposium on Optical Science and
Technology, July 30th -August 4th 2000, San Diego, USA
99. Qian, W., Sheybani, Eshan, Sankar, R., Song, DS., Sun, XJ., Zhang, L., Liu, H. and Clark,
RA. High Speed Network for Telemammography. International Workshop in Digital
Mammography, June 11-14, 2000, in Toronto, Canada
100. Qian, W., Liu, H., Li, L., Clark, RA. A Novel CAD Method for Mass Detection in Digital
Mammography. IEEE International Conf. on Multimedia and Expo. July 30 – August 2,
2000, New York City.
101. Liu, H., Qian, W. and Fajardo, L. Optical Processing and it’s Applications in Medical
Imaging. Biomedical Imaging Symposium:(BECON) June 25-26, 1999, Washington D.C.,
USA
Wei Qian, Ph.D.
Page 21 of 37
102. Li, LH., Qian, W., Clarke, LP., Clark, RA. and Thomas, J. Improving mass detection by
adaptive and multi-scale processing in digitized mammograms. The Proc. of SPIE Medical
Imaging 1999, 3661:490-498, Feb. 1999.
103. Qian, W., Li, L, Clarke, LP., Mao, F. and Clark, RA. Adaptive CAD Modules for Mass
Detection in Digital Mammography. The Proc. of 20th Annual Conf. of the IEEE
Engineering in Medicine and Biology Society, Hong Kong, Oct. 28 - Nov. 1, 1998
104. Mao, F., Zhang, Y., Song, DS., Qian, W., Clarke, LP. An Improve Method of Region
Groping for Microcalcification Detection in Digital Mammograms. The Proc. of 20th
Annual Conf. of the IEEE Engineering in Medicine and Biology Society, Hong Kong ,
Oct.28-Nov.1, 1998
105. Qian, W., Li, LH., and Clarke, LP. A computer assisted diagnostic (CAD) system for
mass detection. 4th International Workshop on Digital Mammography, Nijmegen,
Netherlands, June, 1998.
106. Li, LH., Qian, W., Mao, F., Clarke, LP. Wavelet transform for directional feature
extraction in medical imaging. Proc. of Int. Conf. on Image Processing, Feb. 1997.
107. Mao, F., Qian, W., and Clarke, LP. Fractional dimension filtering for multiscale lung
nodule detection. Proc. SPIE Medical Imaging 1997, Newport Beach, CA, Feb. 27th, 1997
108. Li, LH., Qian, W., Clarke, LP. Adaptive segmentation of X-ray CT images using vector
quantization. Proc. of SPIE Medical Imaging, Feb. 1997.
109. Qian, W., Li, L., Clarke, LP. Digital mammography: Wavelet based CAD method for
mass detection. Proc. of SPIE Medical Imaging, Feb. 1997.
110. Qian, W., Clarke, LP., Song, DS., and Clark, RA. Digital Mammography: Hybrid 8-
Channel Wavelet Transform for Microcalcification Segmentation, 10th International
Symposium and Exhibition, Paris, June 26-29, 1996.
111. Li, LH., Qian, W., and Clarke, LP. Digital mammography: wavelet transform for mass
detection. Computer Assisted Radiology, 10th International Symposium and Exhibition,
Paris, June 26-29, 1996.
112. Li, LH., Qian, W., and Clarke, LP. X-Ray medical image processing using directional
wavelet transform. Proc. of IEEE Inter. Conf. on Acoustics, Speech and Signal Processing,
1996.
113. Mao, F., Qian, W. and Clarke, L.P. 1.5 Dimensional Circular Pattern Filter for Multiscale
Lung Nodule Detection. submitted to 18th Annual International Conf. of the IEEE
Engineering in Medicine and Biology Society, in Amsterdam, 31 Oct. - 3 Nov. 1996.
114. Song, DS., Qian, W., and Clarke, LP. Digital Mammography: Hybrid M-Channel
Wavelet Transform for Microcalcification Segmentation. Invited Paper, 18th Annual
International Conf. of the IEEE Engineering in Medicine and Biology Society, in
Amsterdam, 31 Oct. - 3 Nov. 1996
115. Qian, W., Li, LH., Zheng, BY., and Clarke, LP., Digital Mammography: Wavelet-based
Mixed Feature ANN with entropy decision for Automatic Detection of Microcalcifications,
Invited Talk. World Congress on Neural Networks, Washington, D.C., July 1995.
116. Qian, W., and Clarke, LP., Neural Networks with Fuzzy-logic Adaptivity for Nuclear
Medicine Image Restorations. Invited Talk. World Congress on Neural Networks,
Washington, D.C., July 1995.
117. Qian, W., Li, LH., Li, HD., and Clarke, LP., DIGITAL MAMMOGRAPHY: The
Compression Scheme based on Image Enhancement and Segmentation using Wavelet
Transforms, Proc. of the 37th Annual Meeting of the AAPM (Abs), Boston, July 23-28,
1995.
Wei Qian, Ph.D.
Page 22 of 37
118. Clarke, LP, Qian, W., Song, DS., Li, HD., and Kallergi, M., Four-channel Filter Banks
and Wavelets for Medical Image Processing, Proc. of the 37th Annual Meeting of the
AAPM (Abs), Boston, MA, July 23-28, 1995
119. Qian, W., and Clarke, LP., Adaptive Multiple Nonlinear Filter and Wavelets for the
Enhancement of Medical Image, Proc. of the 37th Annual Meeting of the AAPM (Abs),
Boston, MA, July 23-28, 1995.
120. Qian, W., and Clarke, LP., Hybrid M-channel Wavelet Transform Method and
Application to Medical Image Processing, Invited Talk. 37th Annual Meeting of the
AAPM (Abs), Boston, July 23-28, 1995.
121. Qian, W., Clarke, LP., Kallergi, M., Zheng, BY., Venugopal, Priya, Clark, RA., and
Silbiger, M., Application of Wavelet Transform for Image Enhancement in Medical
Imaging, Proc. of ANNIE, Nov. 1994.
122. Qian, W., Clarke, LP., Li, HD. and Kallergi, M. Hybrid Neural Network for gamma
camera bremsstrahlung image restoration. Proc. SNM 41st Annual Meeting (Abs/
Presentation), Orlando, Florida, June 5-8, 1994.
123. Zheng, B.Y., Qian, W. and Clarke LP. Multistage Neural Network for Pattern
Recognition in Mammogram Screening. Proc. of IEEE World Congress on Computational
Intelligence, June 1994 Orlando, FL.
124. Zheng, B.Y., Qian, W. and Clarke LP. Artificial Neural Network for Pattern Recognition
in Mammography Invited Talk, World Congress on Neural Networks, San Diego, CA
June, 1994.
125. Qian, W., Clarke LP, Kallergi M and Abernathy M. Neural Filter and Hybrid Neural
Network for gamma camera bremsstrahlung image restoration. Invited Talk, World
Congress on Neural Networks, San Diego, CA June, 1994.
126. Qian, W., Clarke LP, Kallergi M, Li HD, Clark RA, and Silbiger ML. Adaptive order
statistic filtering and wavelet transform for feature enhancement in mammography. Proc. of
the 15th Annual International Conf. of the IEEE Engineering in Medicine and Biology
Society, San Diego, CA, October 28-31, 1993.
127. Li HD, Kallergi M, Clarke LP, Qian, W., and Clark RA. Markov random field model for
mammogram segmentation. Proc. of the 15th Annual International Conf. of the IEEE
Engineering in Medicine and Biology Society, San Diego, CA, October 28-31, 1993.
128. Li, HD., Qian, W., Clarke, LP., Kallergi, M., and Clark, RA. Mammographic image
feature extraction and enhancement by wavelet transform. Proc. of the 35th Annual
Meeting of the AAPM (Abs), Washington DC, August 8-12, 1993.
129. Qian, W., Clarke, LP., Zheng, B., and Kallergi, M., Neural filter and neural network
hybrid filter for gamma camera bremsstrahlung image restoration. Proc. SNM 41st Annual
Meeting (Abs), Orlando, Florida, June 5-8, 1994.
130. Li, HD., Qian, W., Clarke, LP., and Kallergi, M., Neural Network for Maximum Entropy
Restoration of Nuclear Medicine Images. Proc. of the International Conf. on Acoustics,
Speech, and Signal Processing, Minneapolis, Minnesota; April 27-30, 1993.
131. Qian, W., Clarke, LP., Kallergi, M., Li, HD., Velthuizen RP, Clark RA, and Silbiger ML.
Tree-structured nonlinear filter and wavelet transform for microcalcification segmentation
in mammography. Proc. of the IS&T/SPIE Annual Symposium on Electronic Imaging,
Science & Technology, San Jose, California; January 31 - February 5, 1993.
132. Qian, W., Clarke, LP., Kallergi, M., and Clark, RA. Three-level median filters for digital
mammography. Proc. of the 14th Annual International Conf. of the IEEE Engineering in
Medicine and Biology Society, Paris, France; October 29 - November 1, 1992.
133. Kallergi, M, Qian, W., Clarke, LP., and Li, HD. Neural network restoration of gamma
camera bremsstrahlung images. Proc. of the 14th Annual International Conf. of the IEEE
Wei Qian, Ph.D.
Page 23 of 37
Engineering in Medicine and Biology Society, Paris, France; October 29 - November 1,
1992.
134. Clarke, L.P., Qian, W., Li, D.,Clark, R., Saff, E. and Lucier, B. Mammographic Image
Analysis with tree structured order statistic and wavelet filters. Proc. of IPTA '93 San
Remo, Italy.
135. Qian, W., Clarke, P.L., Kallergi, M. Wavelet Transformation for Image Segmentation and
Analysis. American Association of Physicists in Medicine Annual Meeting, August 1993,
Washington D. C., Invited Presentation
136. Clarke, L.P., Kallergi, M., Qian, W., and Brad, Lucier. Digital Mammography; Review of
Advanced Computer Assisted Diagnostic (CAD) Methods. Invited Presentation American
Association of Physicists in Medicine Annual Meeting, August 1993. Washington D. C.,
Presidents Symposium.
137. Clarke, L.P., Qian, W., Kallergi, M., and Clark R.A. Computer assisted diagnosis (CAD)
in mammography. Proc. of the Symposium for Computer Assisted Radiology (SCAR), pp.
116-121, Baltimore, Maryland; June 14-17 1992.
138. Clarke, L.P., Qian, W., Kallergi, M., and et al. Nonlinear filtering techniques for
improved classification of mammographic parenchymal patterns in cancer screening. Proc.
of the 34th Annual Meeting of AAPM,Calgary, Alberta, Canada; August 23-27, 1992.
139. Qian, W., Clarke, L.P., Kallergi, M. Applications of nonlinear filtering in Mammography.
Proc. of SPIE - The International Society for Optical Engineering Conf., Feb. 1992 in CA,
U.S.A
140. Kallergi, M., Qian, W., Clarke, L.P. and Gondeck A.R. Bremsstrahlung Imaging with the
Gamma Camera. Proc. of SPIE - The International Society for Optical Engineering Conf.,
Feb. 1992 in CA, U.S.A
141. Bauer, P. and Qian, W. A 3-D Nonlinear Recursive Digital Filter For Video Image
Processing. Proc. of 1991 IEEE Pacific Rim Conf. on Communications, Computers and
Signal Processing, Canada 2. 494-497.
142. Qian, W. and Shen J. The ADANONLINE Neural Nets. Proc. of EURASIP Workshop on
Neural Networks 1990.
143. Qian, W. and Shen J. Image Processing on the bases of Hopfield Neural Network Model.
Proc. of ISMM 1990 in U.S.A.
144. Qian, W. and Lei M.S. The Segmentation of 3-D Image and Space Markov Cubic Mesh
Models. Proceeding of ICASSP-89, IEEE 1989 in Scotland.
145. Qian, W. An Efficient Method in the Design of 2-D IIR Filters for Communication
Systems. 22th Asilomar Conf. on Signals Systems and Computers 1988 in California,
U.S.A.
146. Qian, W. 3-D Recursive Digital Filtering with Linear-phase in communications.
Proceeding of International Conf. on Communication System, IEEE 1988 in Singapore
147. Qian, W. Symmetry and 2-D Recursive Digital Filtering. Proc. of ICCAS'88 IEEE 1988
in Finland.
Invited Seminars
1. Invited Speaker: International Conference titled Computational Bioscience (CompBio 2011) at Cambridge, United Kingdom on July 11 – 13, 2011. International Association of Science and
Technology for Development (IASTED). 2. Invited Speaker: Track 3-5: PET, Cancer Digital Imaging and Image-Guided Technologies.
BIT’s 4th World Cancer Congress (WCC) 2011.
Wei Qian, Ph.D.
Page 24 of 37
3. Invited Speaker: 2005 IEEE International Conference on Acoustics, Speech, and Signal
Processing, Pennsylvania Convention Center/Marriott Hotel, Philadelphia, Pennsylvania,
March 2005.
4. Invited Speaker: NCI CIP (Cancer Imaging Program)’s first Promising Cancer Imaging
Investigators Workshop, October 2004.
5. Invited Speaker: NIH/NCI & NSF CAD/Informatics Workshop: Resources and Barriers for
Cancer Investigations, September 2003.
6. Invited symposium speaker: SPIE's International Symposium on Optical Science,
Engineering, and Instrumentation, July 2000, San Diego, California
7. Invited symposium speaker: AAPM Annual Meeting, Boston, Massachusetts, August, 1995.
8. Invited Speaker, AAPM Annual meeting: Washington D. C. August, 1993
Research Support
Current
Research Grants:
Account #: Wei Qian, Co-PI
Dates: August, 2014 - July, 2017
Source: NATIONAL SCIENCE FOUNDATION (FED) -SPN01214
Title: MRI: Development of a scan-less temporal focusing two-photon fluorescence microscope
for high speed three-dimensional imaging
Total Costs: $650,127.00
Brief Description: This project will develop a high speed (50 volumes/s) temporal focusing
two-photon fluorescence microscope for three dimensional (3D) imaging without laser beam
scanning
Account #: Wei Qian, Supervisor of PI
Dates: August, 2014 - July, 2017
Source: SC3 GM098196-01 grant
Title: Super Resolution Pump-Probe Microscopy for Biomedical Imaging
Total Costs: $445,000
Brief Description: This project will develop a Pump-Probe Microscopy two-photon
fluorescence microscope for three dimensional (3D) imaging with laser beam scanning
Account #: Wei Qian, Co-Investigator
Dates: August, 2011 - July, 2016
Source: SC1 GM098196-01 grant
Title: Autoantibodies to tumor-associated antigens as diagnostic biomarkers in
liver cancer Total Costs: $1,508,175.00
Brief Description: This project is to test liver cancer sera for the presence of autoantibodies to
a panel of 13 selected recombinant TAAs using enzyme-linked immunosorbent assay (ELISA).
Account #: Wei Qian, Co-PI
Dates: Jan. 2013 - Dec. 2013
Wei Qian, Ph.D.
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Source: Interdisciplinary Research (IDR) Enhancement Program, BBRC UTEP
Project Title: Development and analysis of a new Preclinical model of Her-2 positive human breast cancer. Role in the Study: Co-Principal Investigator
Total Costs: $20,000.00 Grant total, part subcontracted to Dr. GIULIO FRANCIA,
Brief Description: To develop new preclinical models of human breast cancer, and to use such models to gather preliminary data for the submission on an RO1 grant to the National Institutes of Health (NIH).
Account #: Wei Qian, PI
Dates: Sept. 2010 - Aug. 2012
Source: Norman Hackerman Advanced Research Program
Project Title: Image Reconstruction Problems in Tomosynthesis
Role in the Study: Principal Investigator
Total Costs: $160,000.00 Grant total, part subcontracted to UTA and TTU
Brief Description: This project is dedicated to the advancement of image reconstruction
techniques in digital tomosynthesis (TS), which is an emerging medical imaging modality.
Account #: Wei Qian, Co-PI
Dates: Sept. 2010 - Aug. 2012
Source: Department of Education
Project Title: Low Resource Setting program for the PhD in biomedical engineering
Role in the Study: Co-PI
Total Costs: $1,000,000.00
Brief Description: Development of a biomedical engineering and biomedical imaging
informatics program in Low Resource Setting for the PhD in biomedical engineering.
Account #: Wei Qian, PI
Dates: Sept. 2008 – Feb. 2012
Source: Stars Award Funding: Texas State University System
Title: Medical Imaging and Bioinformatics
Direct Costs: $500,000.00
Brief Description: This project is for the first step in creating a medical imaging and bioinformatics
program as of Sept 2008 within the College of Engineering. The focus of our research is to develop,
optimize and validate advanced computational data integration methods to convert medical image data
(both laboratory, pre clinical and clinical data) to knowledge or some form of medical intervention, to be
referred to as clinical decision tools.
Completed
External Grants:
Account #: Wei Qian, PI
Dates: Feb., 2006 – Aug. , 2008
Source: DoD Peer Review Award (An equivalent NIH RO1 grant)
Wei Qian, Ph.D.
Page 26 of 37
Title: Integration of Anatomic and Pathogenetic Bases for Early Lung Cancer
Diagnosis
% Effort: 36%
Total Costs: $999,988.00
Brief Description: This project proposed a new universal computer-aided diagnosis (UCAD)
system combining anatomical knowledge based CAD (AK-CAD) and computer-aided pathological
diagnosis (CAPD), which provides combined and correlated radiological and cytopathological
features in diagnosis of early lung cancers.
Account #: Wei Qian, PI
Dates: July 2006 - July 2009
Source: Florida Breast Cancer Coalition Research Foundation
Title: Pre-doctoral teaching Award: Cognitive Approaches to Perception and
Interaction for CAD-Assisted Mammography Interpretation
% Effort: 5% donated
Total Costs: $90,000.00
Brief Description: This project proposed is to focus on the new e-learning model of
mammogram reading grounded in the previous studies and fieldwork of human cognition and
human-computer interaction, which is collecting data of the cognitive process of mammogram
reading and designing the perception and interaction experience in computer-mediated learning
environments. This new learning system is to improve the curriculum of mammogram reading and
impact the early detection of breast cancer.
Account #: Qian, Wei, Co-PI
Dates: Sept. 2006 - Aug. 2008
Source: NSF/ IGERT SKINS graduate program
Project Title: A THz skin probe
% Effort: 5% donated
Role in the Study: Co-Principal Investigator
Total Costs: $60,000.00
Brief Description: Development of a compact, non-invasive skin probe tool utilizing
narrowband THz technology. This novel tool aims at the in vivo and in vitro identification of skin
abnormalities, hydration, and subdermal probing.
Account #: Wei Qian, PI
Dates: July, 2003 - July, 2006
Source: NIH (R21/R33 is an equivalent NIH RO1 grant)
Title: Multi-View Optimized CAD System for Breast Cancer Early Detection
(R21/R33)
% Effort: 63%
Total Costs: $1,486,144.00
Brief Description: This project is to develop a computer assisted diagnosis (CAD) system for
the early detection and diagnosis of breast cancer in multi-view mammograms.
Account #: Wei Qian, PI
Dates: May 2004 - April, 2006
Wei Qian, Ph.D.
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Source: The Susan G. Komen Breast Cancer Foundation
% Effort:
Title: Pre-doctoral teaching Award: The Cognitively-Based Hypermedia System for CAD-
Assisted Mammography
Total Direct Costs: $30,000.00
Total Amount of Award:
Brief Description: This project proposed a Cognitively-Based Hypermedia System for CAD-
Assisted Mammography reading to train Radiologists a new way to read mammograms for
improving their performance.
Account #: Wei Qian, PI
Dates: January 2000 - January, 2003
Source: American Cancer Society (ACS)
% Effort:
Title: Digital Mammography: Optimized CAD System for Mass Detection
Total Direct Costs: $332,000.00
Total Amount of Award: Brief Description: This proposal is a CAD method for mass detection, using advanced
algorithm design for all CAD modules. The goal is to maintain a high sensitivity of detection
(greater than 95%) with a low false positive rate of less than an average of 0.5, or ideally close to
0.1 FP/image, i.e. to achieve a more realistic performance for large image database, including
prospective clinical trials.
Account #: Wei Qian, PI
Dates: May 2001 - May, 2004
Source: DoD Undergraduate Student Training Award
% Effort:
Title: Development, Optimization and Evaluation of CAD System for Breast Cancer
Total Direct Costs: $148,000.00
Total Amount of Award: Brief Description: This is a 12-week training program for three years designed for
undergraduates majoring in electrical engineering, medicine or radiology who are interested in
scientific research.
Account #: Wei Qian, PI
Dates: July 1999 - June, 2003
Source: DoD
% Effort: Title: The CAD Method for Microcalcification Detection: Independent of Sensor and Resolution
Total Direct Costs: $205,859.00
Total Amount of Award:
Brief Description: This project is a pilot study of development and clinical evaluation of
computer assisted diagnostic (CAD) methods for microcalcification detection in digital
mammography. The CAD methods are independent of sensor and resolution.
Account #: Wei Qian, PI
Dates: Jun. 2000 - May, 2001
Source: NIH SBIR, Phase II
Wei Qian, Ph.D.
Page 28 of 37
% Effort: Title: Optical Processor Based CAD for Mammography
Total Direct Costs: $840,000.00
Total Amount of Award: Brief Description: This project is a pilot study of the potential of optical processing for CAD.
There is no overlap as the methods are also primarily applied to microcalcification cluster and
mass detection.
Account #: Wei Qian, PI
Dates: ` Jun. 1998 - May, 1999
Source: NIH SBIR, Phase I
% Effort: Title: Optical Processor Based CAD for Mammography
Total Direct Costs: $120,327.00
Total Amount of Award: Brief Description: This project is a pilot study of the potential of optical processing for CAD.
There is no overlap as the methods are also primarily applied to microcalcification cluster and
mass detection.
Account #: Robert A. Clark, PI, Wei Qian, Co-PI
Dates: Oct. 2001 - Sep. 2002
Source: MDA
% Effort: Title: Digital Mammography: Computed Radiographic Diagnosis and Multisite ROC Evaluation
Total Direct Costs: $1,056,879.00
Total Amount of Award: Brief Description: Development and clinical evaluation of computer assisted diagnostic
(CAD) methods for digital mammography to include multisite ROC evaluation by USUHS, Navy
(Bethesda, MD), and USF/Moffitt Cancer Center using the same sensor.
Account #: Robert A. Clark, PI, Wei Qian, Co-PI
Dates: Oct. 1999 - Sep. 2001
Source: MDA
% Effort: Title: Digital Mammography: CAD for Computed Radiographic Diagnosis and Multisite ROC
Evaluation
Total Direct Costs: $1,223,673.00
Total Amount of Award: Brief Description: Development and clinical evaluation of computer assisted diagnostic
(CAD) methods for digital mammography to include multisite ROC evaluation by USUHS, Navy
(Bethesda, MD), and USF/Moffitt Cancer Center using the same sensor.
Account #: Robert A. Clark, PI, Wei Qian, Co-PI
Dates: Oct. 1997 - Sep. 1999
Source: MDA
% Effort:
Wei Qian, Ph.D.
Page 29 of 37
Title: Digital Mammography: Computed Radiographic Diagnosis and Multisite ROC Evaluation
Total Direct Costs: $1,049,673.00
Total Amount of Award: Brief Description: Development and clinical evaluation of computer assisted diagnostic (CAD)
methods for digital mammography to include multisite ROC evaluation by USUHS, Navy
(Bethesda, MD), and USF/Moffitt Cancer Center using the same sensor. The CAD methods for
mass detection for this Navy project will be completed by Summer 1999 and will go forward for
evaluation using digital mammography.
Account #: Wei Qian, Co-PI
Dates: Jul. 1999 - Jun. 2000
Source: NCI/NIH
% Effort: Title: Normal Image Recognition Technique for Digital mammograms
Total Direct Costs: $286,824.00
Total Amount of Award: Brief Description: The two aims of this project are: to full evaluate a normal image
recognition technique at scales relevant to calcifications, and to develop a normal image
recognition technique at scales relevant to masses.
Account #: Maria Kallergi, PI, Wei Qian, Co-PI
Dates: Jul. 1996 - Jun. 2001
Source: NCI/NIH
% Effort: Project Title: CAD for mammographic interpretation of calcifications
Total Direct Costs: $506,865.00
Total Amount of Award: Brief Description: The goal of this project is to develop and evaluate a novel computer
algorithm for the detection and classification of calcifications associated with breast cancer assisting
radiologists in diagnosis. There is no budget overlap.
Account #: Laurence P. Clarke, PI, Wei Qian, Co-PI
Dates: Aug. 1996 - Aug. 1998
Source: Picker Int’l.
% Effort: Title: MRI Image Enhancement at Different Field Strengths
Total Direct Costs: $50,000.00
Total Amount of Award: Brief Description: Research aims are to optimize existing wavelet based algorithms for MRI
image enhancement and provide software to Picker.
Account #: Robert A. Clark, PI, Wei Qian, Co-PI
Dates: Oct. 1997 - Sep. 1999
Source: MDA
% Effort:
Wei Qian, Ph.D.
Page 30 of 37
Title: Digital Mammography: Computed Radiographic Diagnosis and Multisite ROC Evaluation
Total Direct Costs: $1,049,673.00
Total Amount of Award: Brief Description: Development and clinical evaluation of computer assisted diagnostic (CAD)
methods for digital mammography to include multisite ROC evaluation by USUHS, Navy
(Bethesda, MD), and USF/Moffitt Cancer Center using the same sensor. The CAD methods for
mass detection for this Navy project will be completed by Summer 1999 and will go forward for
evaluation using digital mammography.
Account #: Laurence P. Clarke, PI, Wei Qian, Co-PI
Dates: Jan. 1998 - Jun. 1999
Source: GTE commercial funding: Pilot project
% Effort:
Title: Digital mammography: Evaluation of visually lossless image compression using wavelets
at compression ratio’s of 150:1 or higher
Total Direct Costs: $24,000.00
Total Amount of Award: Brief Description: Evaluation of image compression methods for efficient image transfer.
Account #: Wei Qian, PI Dates: Jun. 1998 - May, 1999
Source: NIH SBIR, Phase I
% Effort:
Title: Optical Processor Based CAD for Mammography
Total Direct Costs: $120,327.00
Total Amount of Award:
Brief Description: This project is a pilot study of the potential of optical processing for CAD.
There is no overlap as the methods are also primarily applied to microcalcification cluster and
mass detection.
Account #: Laurence P. Clarke, PI, Wei Qian, Co-PI
Dates: Jan. 1998 - Jun. 1999
Source: GTE commercial funding: Pilot project
% Effort: Title: Digital mammography: Evaluation of visually lossless image compression using wavelets
at compression ratio’s of 150:1 or higher
Total Direct Costs: $24,000.00
Total Amount of Award: Brief Description: Evaluation of image compression methods for efficient image transfer.
Account #: Robert A. Clark, PI, Wei Qian, Co-PI
Dates: 05/01/98 – 04/30/99
Source: Susan G. Koman Breast Cancer Foundation
% Effort: 5 (donated)
Title: Digital mammography: Second opinion strategy using telemedicine
Wei Qian, Ph.D.
Page 31 of 37
Total Direct Costs: Total Amount of Award: $50,000 (per year)
Brief Description: Studying the feasibility of telemammography and use of CAD
enhancement methods based on wavelets to standardize remote diagnosis using breast cancer
screening as a clinical model.
Account #: Laurence P. Clarke, PI, Wei Qian, Co-PI
Dates: 11/01/94 – 10/31/95
Source: ADAC Laboratories
% Effort: 5%
Title: SPECT at 511 keV: Use of neural network image restoration filter for
collimators with weight constraints
Total Direct Costs:
Total Amount of Award: $44,000 (per year)
Brief Description: Use SPECT camera for positron imaging and apply restoration filter to
improve image quality and quantitation.
Account #: K.Cullers, PI, W. Qian, Co-Investigator
Dates: 09/01/94 – 08/31/95
Source: NASA: Life and Microgravity Sciences and Application
% Effort: 5%
Title: Advanced signal processing methods applied to digital mammography and
other imaging modalities.
Total Direct Costs:
Total Amount of Award: $74,970 (per year)
Brief Description: Investigation of wavelets and noise modeling methods to identify normal
mammograms
Account #: Laurence P. Clarke, PI, Wei Qian, Co-PI
Dates: 01/01/93 – 12/31/95
Source: NIH Ioniz Rad Imag (DCT)
% Effort: 50%
Title: Quantitative imaging of beta emitters using the gamma camera
Total Direct Costs:
Total Amount of Award: $136,942 (per year)
Brief Description: Imaging of beta emitters and development of software for image restoration
and dosimetry measurements
Internal Grants:
Account #: W. Qian, PI
Dates: 02/01/94 – 01/31/95
Source: ACS/Moffitt Cancer Center – Institutional Grant Program
Title: Digital enhancement of mammograms
% Effort: 5%
Wei Qian, Ph.D.
Page 32 of 37
Total Direct Costs:
Total Amount of Award: $10,000 (per year)
Brief Description: Application and evaluation of algorithm for digital mammogram
enhancement
Teaching Experience
1. Teaching Courses in University of Texas at El Paso
EE 5390 (CRN 14001) " Telemedicine for Health Care Delivery in Low resource Settings" for
graduate students in every spring semester.
EE 3353 (CRN 15346) "Signal and System" for undergraduates, in every semester
EE 5205 (CRN 16691) "Research Methods I" for graduate students in every fall semester
EE 5353 Biomedical Signal and Image Processing for graduate students in every spring semester
EE 4395 (CRN 16645) “Imaging Informatics” for undergraduates.
EE 5390 (CRN 166644) “Biomedical Imaging” for graduate students.
EE 4386 3-D Image Reconstruction, Visualization and Processing.
EE 5255 Introduction to Biomedical Engineering.
EE 15164 Graduate projects.
2. Teaching Courses in Hillsborough Community College
Fall semester 2007/2008: Teaching of Biomedical Engineering System Technology I and
Biomedical Engineering System Technology II to undergraduate students
in Dept. of Electronics and Biomedical Engineering, Hillsborough
Community College.
Spring semester 2007/2008: Teaching of Biomedical Engineering System Technology III and
Biomedical Engineering System Technology IV to undergraduate
students in Dept. of Electronics and Biomedical Engineering,
Hillsborough Community College.
3. Teaching Courses in University of South Florida
Fall semester 2003/2004: Teaching of Medical Imaging Course to Biomedical engineering
graduates and undergraduates in the department of Radiology.
Fall Semester 2001/2002: Teaching of Digital Signal Processing I Course to engineering
graduates and undergraduates in the department of Electrical
Engineering.
Fall Semester 2000/2001: Teaching of Digital Signal Processing I Course to engineering
graduates and undergraduates in the department of Electrical
Engineering.
Fall semester 2000/2001: Teaching of Medical Imaging Course to engineering graduates and
undergraduates in the department of Electrical Engineering.
Fall semester 1999/2000: Teaching of Digital Signal Processing I Course to engineering
graduates and undergraduates in the department of Electrical
Engineering.
Wei Qian, Ph.D.
Page 33 of 37
Spring semester 1999/2000: Shared teaching of the Digital Signal Processing II Course to
engineering graduates and undergraduates in the department of
Electrical Engineering.
Fall semester 1994/1995: Shared teaching of the Medical Imaging Course offered by the
department of Computer science and Engineering to engineering
graduates and undergraduates.
3. Other Courses, National Symposia, Teaching Awards and Other Recognition
The External Teaching Activities include the invited as conference/symposium special teacher
for a short course on six separate occasions since 1993 and invited as visiting speaker at Siemens
There are 75 Presentations in National and International conferences and symposia, listed in
“Scientific Abstracts/Poster Presentations/Plenary Presentations”
My Teaching Accomplishments in the past several years:
Training Awards
Account #: Wei Qian, PI
Dates: July, 2011 - July, 2014
Source: The Susan G. Komen Breast Cancer Foundation
% Effort: 20%
Title: The Training Program on Computerized Cancer Biomarker Analysis for
Multimodality Breast Imaging to Eliminate Disparities in Breast Cancer Outcomes
Total Direct Costs: $360,000.00
Brief Description: To design an multimodality computer aided diagnosis automatic system for
the detection of breast disease and anatomic structures of interest, the classification of lesions, the
quantification of disease and anatomic structures (including volumetric analysis, disease
progression, and temporal response to therapy), risk assessment, and physiologic evaluation and to
maximize the information extracted from breast medical images by augmenting oncologists’
subjective, qualitative interpretation of the displayed images with objective, quantitative
computations of the underlying numeric image data.
Account #: Wei Qian, Co-PI
Dates: Sept. 2010 - Aug. 2014
Source: Department of Education
Project Title: Low Resource Setting program for the PhD in biomedical engineering
% Effort: 15%
Role in the Study: Co-Principal Investigator
Total Costs: $1,000,000.00
Brief Description: Development of a biomedical engineering and biomedical imaging
informatics program in Low Resource Setting for the PhD in biomedical engineering.
Account #: Wei Qian, PI
Dates: Sept. 2010 - Aug. 2012
Source: Norma Heckerman Advanced Research Program
Project Title: Image Reconstruction Problems in Tomosynthesis
Wei Qian, Ph.D.
Page 34 of 37
Role in the Study: Principal Investigator
Total Costs: $160,000.00
Brief Description: This project is dedicated to the advancement of image reconstruction
techniques in digital tomosynthesis (TS), which is an emerging medical imaging modality.
Teaching Awards
1. I got five teaching awards: Two of the five are Pre-doctoral teaching Awards including
one for $30,000 from The Susan G. Komen Breast Cancer Foundation for the period of
May 2004-April, 2006 and one for $90,000 from Florida Breast Cancer Foundation for
the period of May 2006-April, 2009. Another one of the five is Undergraduate Student
Training Award for $148,000.00 from DoD for the period of May 2001-April, 2004.
Another one of the five is Graduate Student Fellowship award from NSF/ IGERT SKINS
graduate program for $60,000.00, plus tuition waiver and travel expenses for the period
of Sept. 2006 - Aug. 2008. And the final one of the five is DoD Postdoctoral Fellow
Training Award for $156,000.00 for the period of July, 2000- July, 2003.
2. I published two scholar papers on teaching in Journal of Academic Radiology in 2005
and 2006.
Ph.D. Students Dissertation Teaching Award:
Project Title: Pre-doctoral teaching Award: Cognitive Approaches to Perception and Interaction
for CAD-Assisted Mammography Interpretation
Principal Investigator: Wei Qian, Ph.D. Agency: Florida Breast Cancer Coalition Research Foundation
Type: Training Grant, July 2006 - July 2009
Amount: $90,000.00
This project proposed is to focus on the new e-learning model of mammogram reading grounded
in the previous studies and fieldwork of human cognition and human-computer interaction, which
is collecting data of the cognitive process of mammogram reading and designing the perception
and interaction experience in computer-mediated learning environments. This new learning
system is to improve the curriculum of mammogram reading and impact the early detection of
breast cancer.
Ph.D. Students Dissertation Teaching Award
Project Title: Pre-doctoral teaching Award: The Cognitively-Based Hypermedia System for
CAD-Assisted Mammography
Principal Investigator: Wei Qian, Ph.D. Agency: The Susan G. Komen Breast Cancer Foundation
Type: Training Grant, May 2004 - April, 2006
Amount: $30,000.00
This project proposed a Cognitively-Based Hypermedia System for CAD-Assisted
Mammography reading to train Radiologists a new way to read mammograms for improving their
performance.
Graduate Student Fellowship Award
Project Title: A THz skin probe
Co-Principal Investigator: Wei Qian, Ph.D. Agency: NSF/ IGERT SKINS graduate program
Wei Qian, Ph.D.
Page 35 of 37
Type: Graduate Student Fellowship, Sept. 2006 - Aug. 2008
Amount: $60,000.00, plus tuition waiver and travel expenses
Development of a compact, non-invasive skin probe tool utilizing narrowband THz technology.
This novel tool aims at the in vivo and in vitro identification of skin abnormalities, hydration, and
subdermal probing.
Undergraduate Student Training Award
Project Title: Development, Optimization and Evaluation of CAD System for Breast Cancer
Principal Investigator: Wei Qian, Ph.D. Agency: DoD Undergraduate Student Training Award
Type: Student Training Award, May 2001 - May, 2004
Amount: $148,000.00
This is a 12-week training program for three years designed for undergraduates majoring in
electrical engineering, medicine or radiology who are interested in scientific research.
Postdoctoral Fellow Training Award
Project Title: Optimization and Evaluation of Neural Network based CAD System for Breast
Cancer Early Detection
Supervisor/Mentor: Wei Qian, Ph.D.
Agency: DoD Postdoctoral Fellow Training Award
Type: Research Training Grant, July, 2000- July, 2003
Amount: $156,000.00
This project is to design, optimize and evaluate a neural network based computer assisted
diagnosis (CAD) system for the early detection and diagnosis of breast cancer in mammogram.
3. Teaching and Training Experience
Undergraduate training:
May 2001 – May 2004: As PI of undergraduate student training award trained 18 undergraduate
students during the three years for breast cancer related research.
Graduate training:
I have been working as major professor or co-major professor or committee member of 5
postdoctoral fellows, 8 Ph.D. students and 21 Master’s students from the department of Electrical
Engineering, Computer Science and Engineering, and Physics. I have five student training grants
awarded for my training work; two of the five awards are pre-doctoral graduate student training
awards.
Service
University of Texas, El Paso, Service
1. Actively serving as Faculty 3 year review for Electrical and Computer Engineering
Department in Engineering College Faculty Council Board during 2001-2014.
2. Actively serving as Faculty Council Representative for Electrical and Computer Engineering
Department in Engineering College Faculty Council Board during 2009-2011.
3. Service as a key member for Graduate research Committee Board during 2009-2011.
4. Service as a key member for undergraduate course Committee Board during 2009-2011.
Wei Qian, Ph.D.
Page 36 of 37
University of South Florida Service
1. Service as a key member for by-law committee at College of Medicine during 2004 – 2007.
2. Service as Faculty Council Representative for Radiology Department in Medical College
Faculty Council Board during 2000 – 2003.
3. Actively serving as Faculty Council Representative for Interdisciplinary Oncology
Department in Medical College Faculty Council Board.
4. Actively serving on member of the Bioengineering Institute.
5. Help showcase for the potential of Internet-2 on the USF Internet-2 days. The topic if Tele-
radiology using internet-2. Computer demonstration at internet-2 day, University of South
Florida, March 1st, 1999.
Service at Stevenson Institute of Technology
2000 - 2006: Faculty Advisor for the training program (DoD funded and NSF funded)
Undergraduate and Graduate Students at Stevenson Institute of Technology, Hoboken, NJ
Service to My Profession
1. NCI Invited Reviewer as Special Emphasis Panel member for the review of grants submitted to NCI in
response to PAR-11-150 NCI "Quantitative Imaging Network (QIN)" Review, Special Emphasis Panel
2. NCI Invited Reviewer for National Institute of Biomedical Imaging and Bioengineering 2014-01 NIH
- NIBIB P41 Review Panel
3. Worked as a Volunteer for Grand Award judge Intel International Science and Engineering Fair.
4. Served on Scientific Review Panel for Biomedical Imaging Technology Study Section,
Surgical Sciences, Biomedical Imaging and Bioengineering Integrated Review Group
5. Served on Cell Biology Integrated Review Group, Center for Scientific Review (CSR),
National Institutes of Health
6. Served on Proposal Review on Biomedical Imaging Technology Study Section: Surgical
Sciences, Biomedical Imaging and Bioengineering Integrated Review Group, CENTER FOR
SCIENTIFIC REVIEW, NCI/NIH, BMIT,
7. Served on the site visit will be at the University of North Carolina at Chapel Hill between
Intercellular Interactions Study Section, NIH/NIBIB P41 Site visit.
8. Served on Special Emphasis Review Panel (NHLBI-HR) for NIH to contract Clinical Centers
(CC), working in conjunction with a Genomic and Informatics Center (GIC) and Radiological
Center (RC), to develop clinical approaches that will identify subpopulations and intermediate
biomarkers of progression in the highly heterogeneous chronic obstructive pulmonary disease
(COPD) patient population.
9. Served on grant Review Panel ZRG1 SBIB-S (50) R, Academic-Industry Partnership in
Cancer Imaging.
10. Served on P01 SET in vivo imaging in NCI/NIH for grant Review Panel from 2006 to 2007.
11. Served on US Army proposal review panels in Clinical Transnational Research sections.
12. Served on Novel Technologies for in vivo imaging in NCI/NIH for grant Review Panel from.
13. Served on Cancer Imaging Program in NCI/NIH for grant Review Panel.
14. Served on American Cancer Society Review Panels on research grants.
15. Served on Department of Defense Congressional Interest Research on Health related Topics
peer Review Panel.
16. Associate editor for Medical Physics Journal.
Wei Qian, Ph.D.
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17. Associate editor for IEEE Transactions on Medical Imaging.
18. A member of the Editorial Board of International Journal of Image & Graphics.
19. Reviewer for IEEE Transactions on Medical Imaging.
20. Reviewer for Journal of Medical Physics.
21. Reviewer for Journal of Academic Radiology.
22. Reviewer for Journal of Biomedical Optics.