Heang‐Ping Chan

18.5k citations

410 papers · 12.8k indexed · 1 hit paper · h-index 61

Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging 162
- Medical Imaging Techniques and Applications 93
Health Informatics top 0.2%
Artificial Intelligence top 0.05%
- AI in cancer detection 204
Computer Vision and Pattern Recognition top 0.2%
Pulmonary and Respiratory Medicine top 0.2%
- Digital Radiography and Breast Imaging 146
- Lung Cancer Diagnosis and Treatment 34
Oncology
- Colorectal Cancer Screening and Detection 61
Biomedical Engineering
- Advanced X-ray and CT Imaging 59
Surgery
- Bladder and Urothelial Cancer Treatments 31

Co-authors: Lubomir M. Hadjiiski Berkman Sahiner Mark A. Helvie Nicholas Petrick Ravi K. Samala Chuan Zhou Mitchell M. Goodsitt Jun Wei
Cited by: Radiology, Nuclear Medicine and Imaging Health Informatics Artificial Intelligence
Journals: Medical Physics (115 papers)Radiology (28 papers)Physics in Medicine and Biology (26 papers)
Partner nations: United States China Bulgaria

In The Last Decade

Heang‐Ping Chan

399 papers receiving 12.3k citations

Hit Papers

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Peers

Countries citing papers authored by Heang‐Ping Chan

Since Specialization

Citations

This map shows the geographic impact of Heang‐Ping Chan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Heang‐Ping Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heang‐Ping Chan more than expected).

Fields of papers citing papers by Heang‐Ping Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heang‐Ping Chan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Heang‐Ping Chan. The network helps show where Heang‐Ping Chan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Heang‐Ping Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heang‐Ping Chan Line = papers co-authored together Heang‐Ping Chan links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Large language model-assisted information extraction from clinical reports for survival prediction of bladder cancer patients D. H. Sun,Lubomir M. Hadjiiski,John Gormley,Heang‐Ping Chan,Elaine M. Caoili,Richard H. Cohan,Ajjai Alva,Rada Mihalcea,Chuan Zhou,Vikas Gulani	2024	1
2	Deep learning denoising of digital breast tomosynthesis: Observer performance study of the effect on detection of microcalcifications in breast phantom images Medical Physics ·Heang‐Ping Chan,Mark A. Helvie,耕一下敷領,Lubomir M. Hadjiiski,Chuan Zhou,雅史山本,Katherine A. Klein,Jefferson Betancurt-Serrano,C. Liu,Wahida Rahman,Marilyn A. Roubidoux	2023	2
3	Digital Breast Tomosynthesis Slab Thickness: Impact on Reader Performance and Interpretation Time Radiology ·Roberto París,Ángeles Sánchez-Herrero,Stephanie K. Patterson,Colleen H. Neal,Mitra Noroozian,Mawaddah Mawaddah,Heang‐Ping Chan,Mark A. Helvie,Katherine E. Maturen	2020	7
4	Pathologic categorization of lung nodules: Radiomic descriptors of CT attenuation distribution patterns of solid and subsolid nodules in low-dose CT European Journal of Radiology ·Chuan Zhou,Heang‐Ping Chan,Aamer Chughtai,Lubomir M. Hadjiiski,Ella A. Kazerooni,Jun Wei	2020	6
5	Designing a web tool to support teamwork awareness and reflection: Evaluation of two trial cycles International Conference on Computers in Education ·Elizabeth Koh,榊原由佳,Antonette Shibani,Francisco Alberto Flores-Ávila,Jennifer Pei-Ling Tan,Eliška Nádvorníková,Ya-long He,Heang‐Ping Chan	2016	0
6	Treatment response assessment of breast masses on dynamic contrast‐enhanced magnetic resonance scans using fuzzy ‐means clustering and level set segmentation Medical Physics ·Jiazheng Shi,Berkman Sahiner,Heang‐Ping Chan,Chintana Paramagul,Lubomir M. Hadjiiski,Mark A. Helvie,Thomas L. Chenevert	2009	19
7	Dynamic multiple thresholding breast boundary detection algorithm for mammograms Medical Physics ·Yi‐Ta Wu,Chuan Zhou,Heang‐Ping Chan,Chintana Paramagul,Lubomir M. Hadjiiski,张小件 Xiaojian Zhang,Julie A. Douglas,Yiheng Zhang,Berkman Sahiner,Jiazheng Shi,Jun Wei	2009	12
8	Computer‐aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features Medical Physics ·Ted W. Way,Berkman Sahiner,Heang‐Ping Chan,Lubomir M. Hadjiiski,Philip N. Cascade,Aamer Chughtai,Naama Bogot,Ella A. Kazerooni	2009	114
9	Characterization of Mammographic Masses Based on Level Set Segmentation with New Image Features and Patient Information PubMed Central ·Jiazheng Shi,Berkman Sahiner,Heang‐Ping Chan,嘎莲,Lubomir M. Hadjiiski,Mark A. Helvie,Alexis V. Nees,De la salle,Jun Wei,Chuan Zhou,Yiheng Zhang,Jing Cui	2008	1
10	Computer‐aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches Medical Physics ·Heang‐Ping Chan,Jun Wei,Yiheng Zhang,Mark A. Helvie,Richard H. Moore,Berkman Sahiner,Lubomir M. Hadjiiski,Daniel B. Kopans	2008	64
11	Automated detection of breast vascular calcification on full-field digital mammograms Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Jun Ge,Heang‐Ping Chan,Berkman Sahiner,Chuan Zhou,Mark A. Helvie,Jun Wei,Lubomir M. Hadjiiski,Yiheng Zhang,M. Doraiswami,Jiazheng Shi	2008	12
12	Automated volume analysis of head and neck lesions on CT scans using 3D level set segmentation Medical Physics ·W HEUPKE,Lubomir M. Hadjiiski,Berkman Sahiner,Sachin K. Gujar,Mohannad Ibrahim,Suresh K. Mukherji,Heang‐Ping Chan	2007	31
13	Automatic multiscale enhancement and segmentation of pulmonary vessels in CT pulmonary angiography images for CAD applications PubMed Central ·Chuan Zhou,Heang‐Ping Chan,Berkman Sahiner,Lubomir M. Hadjiiski,Aamer Chughtai,Smita S. Patel,Jun Wei,嘎莲,Philip N. Cascade,Ella A. Kazerooni	2007	2
14	Application of boundary detection information in breast tomosynthesis reconstruction PubMed Central ·Yiheng Zhang,Heang‐Ping Chan,Berkman Sahiner,De la salle,Chuan Zhou,嘎莲,Jun Wei,Lubomir M. Hadjiiski	2007	1
15	Characterization of mammographic masses based on level set segmentation with new image features and patient information Medical Physics ·Jiazheng Shi,Berkman Sahiner,Heang‐Ping Chan,Jun Ge,Lubomir M. Hadjiiski,Mark A. Helvie,Alexis V. Nees,Yi‐Ta Wu,Jun Wei,Chuan Zhou,Yiheng Zhang,Jing Cui	2007	78
16	A comparative study of limited‐angle cone‐beam reconstruction methods for breast tomosynthesis Medical Physics ·Yiheng Zhang,Heang‐Ping Chan,Berkman Sahiner,Jun Wei,Mitchell M. Goodsitt,Lubomir M. Hadjiiski,Jun Ge,Chuan Zhou	2006	211
17	ROC study of the effect of stereoscopic imaging on assessment of breast lesions Medical Physics ·Heang‐Ping Chan,Mitchell M. Goodsitt,Mark A. Helvie,Lubomir M. Hadjiiski,Marek Szturo,Marilyn A. Roubidoux,Janet E. Bailey,Alexis V. Nees,Caroline E. Blane,Berkman Sahiner	2005	16
18	Feature selection and classifier performance in computer‐aided diagnosis: The effect of finite sample size Medical Physics ·Berkman Sahiner,Heang‐Ping Chan,Nicholas Petrick,Robert F. Wagner,Lubomir M. Hadjiiski	2000	105
19	Classifier design for computer‐aided diagnosis: Effects of finite sample size on the mean performance of classical and neural network classifiers Medical Physics ·Heang‐Ping Chan,Berkman Sahiner,Robert F. Wagner,Nicholas Petrick	1999	120
20	Computer-aided diagnosis in chest radiology Journal of Thoracic Imaging ·Heber MacMahon,Kunio Doi,Heang‐Ping Chan,Maryellen L. Giger,Shigehiko Katsuragawa,Nobuyuki Nakamori	1990	44

About Heang‐Ping Chan

Heang‐Ping Chan is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Health Informatics and Oncology, having authored 410 papers that have together received 12.8k indexed citations. Recurring topics across this work include AI in cancer detection (204 papers), Radiomics and Machine Learning in Medical Imaging (162 papers), Digital Radiography and Breast Imaging (146 papers), Medical Imaging Techniques and Applications (93 papers), Colorectal Cancer Screening and Detection (61 papers), Advanced X-ray and CT Imaging (59 papers), Lung Cancer Diagnosis and Treatment (34 papers) and Bladder and Urothelial Cancer Treatments (31 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (8.0k citations), Health Informatics (376 citations), Artificial Intelligence (7.0k citations), Computer Vision and Pattern Recognition (2.8k citations) and Pulmonary and Respiratory Medicine (4.6k citations). Heang‐Ping Chan has collaborated with scholars based in United States, China and Bulgaria. Frequent co-authors include Lubomir M. Hadjiiski, Berkman Sahiner, Mark A. Helvie, Nicholas Petrick, Ravi K. Samala, Chuan Zhou, Mitchell M. Goodsitt, Jun Wei, Kunio Doi and Dorit D. Adler. Their work appears in journals such as Medical Physics, Radiology, Physics in Medicine and Biology, Academic Radiology and IEEE Transactions on Medical Imaging.

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