Bryan He
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Cardiovascular Function and Risk Factors
- Cardiac Valve Diseases and Treatments
Papers in
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- Cardiovascular Function and Risk Factors 9
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- Cardiac Imaging and Diagnostics 4
- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- James Zou (17 shared papers)David Ouyang (16 shared papers)Euan A. Ashley (4 shared papers)David Liang (4 shared papers)Robert A. Harrington (2 shared papers)Amirata Ghorbani (2 shared papers)Neal Yuan (7 shared papers)Joseph E. Ebinger (5 shared papers)
- Journals
- Nature (3 papers)Circulation (2 papers)npj Digital Medicine (2 papers)Journal of the American Society of Echocardiography (1 paper)Nature Biomedical Engineering (1 paper)
- Partner nations
- United StatesSwedenDenmark
In The Last Decade
Bryan He
30 papers receiving 1.8k citations
Bryan He's Hit Papers
Peers
Comparison fields: 5 of 130
- Health Informatics 204
- Cardiology and Cardiovascular Medicine 516
- Radiology, Nuclear Medicine and Imaging 501
- Biophysics 94
- Health Information Management 70
Countries citing papers authored by Bryan He
This map shows the geographic impact of Bryan He'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 Bryan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan He more than expected).
Fields of papers citing papers by Bryan He
This network shows the impact of papers produced by Bryan He. 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 Bryan He. The network helps show where Bryan He may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Video-based AI for beat-to-beat assessment of cardiac function Hit paper breakdown → | 2020 | 555 |
| 2 | Deep learning interpretation of echocardiograms Hit paper breakdown → | 2020 | 301 |
| 3 | Integrating spatial gene expression and breast tumour morphology via deep learning Hit paper breakdown → | 2020 | 287 |
| 4 | Blinded, randomized trial of sonographer versus AI cardiac function assessment Hit paper breakdown → | 2023 | 127 |
| 5 | 2022 | 122 | |
| 6 | 2021 | 103 | |
| 7 | 2021 | 41 | |
| 8 | Learning the Structure of Generative Models without Labeled Data. | 2017 | 35 |
| 9 | 2022 | 30 | |
| 10 | 2023 | 27 | |
| 11 | 2021 | 23 | |
| 12 | 2024 | 18 | |
| 13 | 2013 | 16 | |
| 14 | 2022 | 15 | |
| 15 | 2021 | 12 | |
| 16 | Accelerated Stochastic Power Iteration | 2018 | 10 |
| 17 | 2021 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2023 | 6 | |
| 20 | Inferring Generative Model Structure with Static Analysis. | 2017 | 6 |
About Bryan He
Bryan He is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology and Cognitive Neuroscience, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Cardiac Imaging and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), EEG and Brain-Computer Interfaces (3 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Health Informatics (204 citations), Cardiology and Cardiovascular Medicine (516 citations), Radiology, Nuclear Medicine and Imaging (501 citations), Biophysics (94 citations) and Health Information Management (70 citations). Bryan He has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include James Zou, David Ouyang, Euan A. Ashley, David Liang, Robert A. Harrington, Amirata Ghorbani, Neal Yuan, Joseph E. Ebinger, Abubakar Abid and Paul A. Heidenreich. Their work appears in journals such as Nature, Circulation, npj Digital Medicine, Journal of the American Society of Echocardiography and Nature Biomedical Engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.