Chan, Heang-Ping

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 1,039

Anniversary Paper: History and status of CAD and quantitative image analysis: The role of Medical Physics and AAPM

Giger, M. L., Chan, H., & Boone, J. (2008) · Medical Physics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 311

Evaluating Imaging and Computer-aided Detection and Diagnosis Devices at the FDA

Gallas, B. D., Chan, H.-P., D’Orsi, C. J., Dodd, L. E., Giger, M. L., Gur, D., Krupinski, E. A., Metz, C. E., Myers, K. J., Obuchowski, N. A., et al. (2012) · Academic Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 81

Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks

Samala, R. K., Chan, H.-P., Hadjiiski, L., & Koneru, S. (2020) · Medical Imaging 2020: Computer-Aided Diagnosis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 42

Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosis

Sun, D., Hadjiiski, L., Bruno, G., Gormley, J., Chan, H.-P., Caoili, E. M., Cohan, R. H., Alva, A., Mihalcea, R., Zhou, C., et al. (2025) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 9