Heang-Ping Chan

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Positron Emission Tomography

Convolutional Neural Network

Lipopolysaccharide Induced

Artificial Intelligence

Top Venues

BJR artificial intelligence

Radiology. Cardiothoracic imaging

IEEE access : practical innovations, open solutions

This page only lists publications with an associated author ORCID identifier.

Publications

Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Hayit Greenspan, Usman Mahmood, Ronald M Summers, Georgia Tourassi, Thomas M Deserno, Daniele Regge, Janne J Näppi, Hiroyuki Yoshida, Zhimin Huo, Quan Chen, Daniel Vergara, Kenny H Cha, Richard Mazurchuk, Kevin T Grizzard, Henkjan J Huisman, Lia Morra, Kenji Suzuki, Samuel G Armato, Lubomir Hadjiiski
AI and machine learning in medical imaging: key points from development to translation. BJR artificial intelligence 1 (1) (2024)
Yifan Wang, Chuan Zhou, Lei Ying, Elizabeth M Lee, Heang-Ping Chan, Aamer Chughtai, Lubomir M Hadjiiski, Ella Annabelle Kazerooni
Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening. Radiology. Cardiothoracic imaging 6 (3) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Yifan Wang, Chuan Zhou, Lei Ying, Elizabeth M Lee, Heang-Ping Chan, Aamer Chughtai, Lubomir M Hadjiiski, Ella Annabelle Kazerooni
Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening. Radiology. Cardiothoracic imaging 6 (3) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Nicholas Petrick, Hayit Greenspan, Usman Mahmood, Ronald M Summers, Georgia Tourassi, Thomas M Deserno, Daniele Regge, Janne J Näppi, Hiroyuki Yoshida, Zhimin Huo, Quan Chen, Daniel Vergara, Kenny H Cha, Richard Mazurchuk, Kevin T Grizzard, Henkjan J Huisman, Lia Morra, Kenji Suzuki, Samuel G Armato, Lubomir Hadjiiski
AI and machine learning in medical imaging: key points from development to translation. BJR artificial intelligence 1 (1) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Yifan Wang, Chuan Zhou, Lei Ying, Elizabeth M Lee, Heang-Ping Chan, Aamer Chughtai, Lubomir M Hadjiiski, Ella Annabelle Kazerooni
Leveraging Serial Low-Dose CT Scans in Radiomics-based Reinforcement Learning to Improve Early Diagnosis of Lung Cancer at Baseline Screening. Radiology. Cardiothoracic imaging 6 (3) (2024)
Heang-Ping Chan
Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer. European radiology (2023)
Chuan Zhou, Heang-Ping Chan, Lubomir M Hadjiiski, Aamer Chughtai
Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete Annotation. IEEE access : practical innovations, open solutions 10 (2022)
Sean Woolen, Apurva Virkud, Lubomir Hadjiiski, Kenny H Cha, Heang-Ping Chan, Paul L Swiecicki, Francis Worden, Ashok Srinivasan
Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study. Tomography (Ann Arbor, Mich.) 7 (1) (2021)
Heang-Ping Chan
Promise and Potential Pitfalls: Re-creating Images or Generating New Images for AI Modeling. Radiology. Artificial intelligence 3 (4) (2021)
Heang-Ping Chan, Mark A Helvie
Using Single-View Wide-Angle DBT with AI for Breast Cancer Screening. Radiology 300 (3) (2021)
Heang-Ping Chan, Ravi K Samala, Lubomir M Hadjiiski
CAD and AI for breast cancer-recent development and challenges. The British journal of radiology 93 (1108) (2019)
Heang-Ping Chan, Mark A Helvie
Deep Learning for Mammographic Breast Density Assessment and Beyond. Radiology 290 (1) (2018)