Heang-Ping Chan

Heang-Ping Chan

University of Michigan

H-index: 83

North America-United States

About Heang-Ping Chan

Heang-Ping Chan, With an exceptional h-index of 83 and a recent h-index of 41 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Computer-aided diagnosis, machine learning, AI, radiomics, medical imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

Launching BJR|Artificial intelligence: an editorial

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

AI and machine learning in medical imaging: key points from development to translation

X-ray source motion blur modeling and deblurring with generative diffusion for digital breast tomosynthesis

Large language model-assisted information extraction from clinical reports for survival prediction of bladder cancer patients

Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer

Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Heang-Ping Chan Information

University

Position

___

Citations(all)

24001

Citations(since 2020)

6857

Cited By

19751

hIndex(all)

83

hIndex(since 2020)

41

i10Index(all)

297

i10Index(since 2020)

139

Email

University Profile Page

Google Scholar

Heang-Ping Chan Skills & Research Interests

Computer-aided diagnosis

machine learning

AI

radiomics

medical imaging

Top articles of Heang-Ping Chan

Launching BJR|Artificial intelligence: an editorial

2024/1/1

Heang-Ping Chan
Heang-Ping Chan

H-Index: 40

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

2024/1/1

X-ray source motion blur modeling and deblurring with generative diffusion for digital breast tomosynthesis

Physics in Medicine and Biology

2024/4/19

Mingjie Gao
Mingjie Gao

H-Index: 7

Heang-Ping Chan
Heang-Ping Chan

H-Index: 40

Large language model-assisted information extraction from clinical reports for survival prediction of bladder cancer patients

2024/4/3

Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer

European Radiology

2024/4

Heang-Ping Chan
Heang-Ping Chan

H-Index: 40

Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data

Diagnostics

2024/2/5

Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging

Journal of the American College of Radiology

2024/2/1

Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach

Physics in Medicine & Biology

2023/12/13

Mingjie Gao
Mingjie Gao

H-Index: 7

Heang-Ping Chan
Heang-Ping Chan

H-Index: 40

Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images

Medical Physics

2023/10

Survival Prediction of Patients with Bladder Cancer after Cystectomy Based on Clinical, Radiomics, and Deep-Learning Descriptors

Cancers

2023/9/1

Bladder cancer treatment response assessment in CT urography by using deep-learning and radiomics

2023/4/7

Survival prediction for patients with metastatic urothelial cancer after immunotherapy using machine learning

2023/4/7

Bladder cancer segmentation using U-Net-based deep-learning

2023/4/7

Deep CNN task-based image quality assessment: application to digital breast tomosynthesis reconstruction and denoising

2023/4/7

Mingjie Gao
Mingjie Gao

H-Index: 7

Heang-Ping Chan
Heang-Ping Chan

H-Index: 40

Segmentation of mouse tibia on MRI using deep learning U-Net models

2023/4/4

Heang-Ping Chan
Heang-Ping Chan

H-Index: 40

Improved repeatability of mouse tibia volume segmentation in murine myelofibrosis model using deep learning

Tomography

2023/3/7

Humera Tariq
Humera Tariq

H-Index: 3

Heang-Ping Chan
Heang-Ping Chan

H-Index: 40

AAPM task group report 273: recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging

Medical Physics

2023/2

Hybrid U‐Net‐based deep learning model for volume segmentation of lung nodules in CT images

Medical Physics

2022/11

Recursive training strategy for a deep learning network for segmentation of pathology nuclei with incomplete annotation

IEEE Access

2022/5/5

Chuan Zhou
Chuan Zhou

H-Index: 22

Heang-Ping Chan
Heang-Ping Chan

H-Index: 40

See List of Professors in Heang-Ping Chan University(University of Michigan)