Heang‐Ping Chan
Computer Science · University of Michigan
Publications
558
Citations
18,655
Est. group size
~25
Recurring co-author estimate
Active years
49
Publishing since 1978
Typically publishes in teams of ~6 · 12% small-team papers (≤3 authors) · across 28 venues
- Evaluating reliability of AI uncertainty estimations
2026
- AAPM task group 234 report: Virtual tools for the evaluation of new 3D/4D breast imaging systems
Medical Physics · 2025
- Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
BJR|Artificial Intelligence · 2024
- AI and machine learning in medical imaging: key points from development to translation
BJR|Artificial Intelligence · 2024
- Enhancing Early Lung Cancer Diagnosis: Predicting Lung Nodule Progression in Follow-Up Low-Dose CT Scan with Deep Generative Model
Cancers · 2024
- Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data
Diagnostics · 2024
- P4.07E.03 Real-World Data on Early Lung Cancer in Never-Smokers and Light Smokers-Prevalence, Family History, and Molecular Alterations
Journal of Thoracic Oncology · 2024
- Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images
Medical Physics · 2023
- Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer
European Radiology · 2023
- Supplementary Table 2 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures
2023
- Supplementary Table 1 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures
2023
- Supplementary Table 3 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures
2023
- Supplementary Table 2 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures
2023
- Supplementary Table 3 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures
2023
- Supplementary Table 1 from Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures
2023
- Medical Physics×22
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE×18
- Physics in Medicine and Biology×9
- Medical Imaging 2018: Computer-Aided Diagnosis×9
- Tomography×7
- Chuan Zhou
Computer Science · University of Michigan
- Lubomir M. Hadjiiski
Computer Science · University of Michigan
- Giovanni Lujan
Computer Science · The Ohio State University
- Clayton R. Taylor
Computer Science · The Ohio State University
- Marilyn A. Roubidoux
Computer Science · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 25, 2026.
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