Heang‐Ping Chan
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Michiganas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-7777-9006
- OpenAlex ID
- A5027247097as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 36
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging,
AI in medical physics: guidelines for publication,
Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis,
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing,
Assessment of task‐based performance from five clinical DBT systems using an anthropomorphic breast phantom,
Automated pectoral muscle identification on <scp>MLO</scp>‐view mammograms: Comparison of deep neural network to conventional computer vision,
Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning,
Bladder cancer treatment response assessment using deep learning in CT with transfer learning
+28 more
← Authored by 36
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging,
AI in medical physics: guidelines for publication,
Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis,
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing,
Assessment of task‐based performance from five clinical DBT systems using an anthropomorphic breast phantom,
Automated pectoral muscle identification on <scp>MLO</scp>‐view mammograms: Comparison of deep neural network to conventional computer vision,
Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning,
Bladder cancer treatment response assessment using deep learning in CT with transfer learning
+28 more
Affiliated with 4
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Summary
Heang‐Ping Chan is a human[1].