Bryan Haslam
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- AI in cancer detection
- Machine Learning in Healthcare
Papers in
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- AI in cancer detection 4
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- Non-Invasive Vital Sign Monitoring 2
- Optical Coherence Tomography Applications 1
- Microfluidic and Capillary Electrophoresis Applications 1
- Co-authors
- Alma Gregory Sorensen (4 shared papers)Jiye G. Kim (2 shared papers)William E. Lotter (2 shared papers)Giorgia Grisot (2 shared papers)Jerrold L. Boxerman (1 shared paper)Meiyun Wang (1 shared paper)Kevin Wu (1 shared paper)Gopal R. Vijayaraghavan (1 shared paper)
- Journals
- Radiology Artificial Intelligence (1 paper)Optics Letters (1 paper)Nature Medicine (1 paper)Radiology (1 paper)Fire Technology (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Bryan Haslam
8 papers receiving 334 citations
Bryan Haslam's Hit Papers
Peers
Comparison fields: 5 of 48
- Health Informatics 33
- Artificial Intelligence 230
- Radiology, Nuclear Medicine and Imaging 36
- Health Information Management 12
- Pulmonary and Respiratory Medicine 34
Countries citing papers authored by Bryan Haslam
This map shows the geographic impact of Bryan Haslam'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 Haslam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Haslam more than expected).
Fields of papers citing papers by Bryan Haslam
This network shows the impact of papers produced by Bryan Haslam. 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 Haslam. The network helps show where Bryan Haslam may publish in the future.
Co-authors
The 24 scholars most cited alongside Bryan Haslam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach Hit paper breakdown → | 2021 | 297 |
| 2 | 2024 | 15 | |
| 3 | 2016 | 11 | |
| 4 | 2013 | 6 | |
| 5 | Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting | 2011 | 5 |
| 6 | 2015 | 3 | |
| 7 | 2025 | 3 | |
| 8 | 2011 | 2 | |
| 9 | 2016 | 0 | |
| 10 | 2026 | 0 |
About Bryan Haslam
Bryan Haslam is a scholar working on Artificial Intelligence, Biomedical Engineering, Pulmonary and Respiratory Medicine, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics, having authored 10 papers that have together received 342 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Biomedical Text Mining and Ontologies (1 paper), Digital Holography and Microscopy (1 paper), Optical Coherence Tomography Applications (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Lightning and Electromagnetic Phenomena (1 paper). The work is most often cited by research in Health Informatics (33 citations), Artificial Intelligence (230 citations), Radiology, Nuclear Medicine and Imaging (36 citations), Health Information Management (12 citations) and Pulmonary and Respiratory Medicine (34 citations). Bryan Haslam has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Alma Gregory Sorensen, Jiye G. Kim, William E. Lotter, Giorgia Grisot, Jerrold L. Boxerman, Meiyun Wang, Kevin Wu, Gopal R. Vijayaraghavan, Jorge Onieva Onieva and Mattijs de Groot. Their work appears in journals such as Radiology Artificial Intelligence, Optics Letters, Nature Medicine, Radiology and Fire Technology.
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.