Chuan Zhou, PhD
He/Him
Research Professor
Medicine
Research interests are in developing computer-based techniques in the fields of computer vision, image analysis, radiological science, diagnostic imaging and machine learning to increase the sensitivity of radiological lesion detection, and to characterize those abnormalities and their likelihood of being significant, or to quantitatively analyze image-based and other biomarkers to assist treatment decision making and monitoring.
Projects:
early diagnosis of lung cancer
Research Area(s)
Artificial Intelligence | Basic and Translational cancer research | Bioinformatics | Biomarkers | Breast cancer | Data science / Analytics / AI | Deep neural networks | Disease Modeling | Pulmonary Diseases | cardiovascular diseases | machine learning | medical imaging | predictive modeling
Publications
- Urinary bladder cancer staging in CT urography using machine learning
- Coronary artery analysis: Computer-assisted selection of best-quality segments in multiple-phase coronary CT angiography
- Best-Quality Vessel Identification Using Vessel Quality Measure in Multiple-Phase Coronary CT Angiography
Grants
- Principal investigator of: COMPUTER-AIDED DETECTION OF PULMONARY EMBOLISM ON COMPUTERIZED TOMOGRAPHY
- Principal investigator of: COMPUTER-AIDED DETECTION OF PULMONARY EMBOLISM ON CT PULMONARY ANGIOGRAPHY
- Co-investigator of: Evaluation of U of M Mass Detection CAD System using an Independent Data Set