Dr. Bin Zheng
Professor at Univ of Oklahoma
SPIE Involvement:
Author
Area of Expertise:
Computer-aided detection and diagnosis , Machine learning , Technology assessment , Medical image processing
Websites:
Profile Summary

I received a Bachelor and Master degree of Engineering in the major of Optical Engineering and Instrumentation from Shanghai Institute of Mechanical Engineering, China, and a doctoral degree of Electrical Engineering from University of Delaware, USA, in 1993.

During 1993 to 2013, I have been working in the Medical Imaging Research Center, University of Pittsburgh. My research interest and work focused on the development and evaluation of computer-aided detection and diagnosis (CAD) schemes of medical images that include mammograms and magnetic resonance image (MRI) for breast cancer, computed tomography (CT) images for lung diseases, and microscopic cytogenetic images for leukemia and cervical cancer. After joining the faculty in University of Oklahoma in May 2013, I continue my research work in the fields of developing and optimizing interactive CAD schemes that aim to provide clinicians “visual-aided” tools in cancer diagnosis, developing and validating the computerized biomarkers extracted from the biomedical images and electrical signals in order to help improve accuracy and reliability of assessing cancer prognosis and treatment efficacy.
Publications (162)

Proceedings Article | 15 February 2021 Presentation + Paper
Proc. SPIE. 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging
KEYWORDS: Neurology, Image segmentation, Computed tomography, Neuroimaging, Computer-aided diagnosis, Data analysis, Brain

Proceedings Article | 15 February 2021 Presentation + Paper
Proc. SPIE. 11597, Medical Imaging 2021: Computer-Aided Diagnosis
KEYWORDS: Chest, Computer aided diagnosis and therapy, Convolutional neural networks, X-rays, Radiography, X-ray imaging, Chest imaging, Computer-aided diagnosis, Solid modeling, Evolutionary algorithms

Proceedings Article | 15 February 2021 Presentation + Paper
Proc. SPIE. 11601, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications
KEYWORDS: Breast, Principal component analysis, Tumor growth modeling, Data modeling, Medical imaging, Mammography, Machine learning, Optimization (mathematics), Performance modeling, Solid modeling

Proceedings Article | 15 February 2021 Poster + Paper
Proc. SPIE. 11597, Medical Imaging 2021: Computer-Aided Diagnosis
KEYWORDS: Computer aided diagnosis and therapy, Cognitive modeling, Blood, Image segmentation, Machine learning, Computed tomography, Neuroimaging, Performance modeling, Solid modeling, Brain

Proceedings Article | 15 February 2021 Poster + Presentation + Paper
Proc. SPIE. 11597, Medical Imaging 2021: Computer-Aided Diagnosis
KEYWORDS: Principal component analysis, Computer aided diagnosis and therapy, Cancer, Tumors, Image segmentation, Machine learning, Computed tomography, Feature selection, Performance modeling, Solid modeling

Showing 5 of 162 publications
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