Bryan Haslam
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Infrared Thermography in Medicine
Papers in
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- Optical Coherence Tomography Applications 1
- Microfluidic and Bio-sensing Technologies 1
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- Digital Radiography and Breast Imaging 2
- Co-authors
- William Lotter (2 shared papers)Abdul Rahman Diab (2 shared papers)Jiye G. Kim (2 shared papers)Giorgia Grisot (2 shared papers)Eric Q. Wu (1 shared paper)Gopal R. Vijayaraghavan (1 shared paper)Jerrold L. Boxerman (1 shared paper)Meiyun Wang (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Radiology Artificial Intelligence (1 paper)Fire Technology (1 paper)Optics Letters (1 paper)Biomicrofluidics (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Bryan Haslam
7 papers receiving 289 citations
Bryan Haslam's Hit Papers
Peers
Comparison fields: 5 of 68
- Health Informatics 32
- Radiology, Nuclear Medicine and Imaging 134
- Artificial Intelligence 184
- Neurology 18
- Health Information Management 10
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 25 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 | 255 |
| 2 | 2016 | 11 | |
| 3 | 2024 | 9 | |
| 4 | Unilateral hypoglossal neurapraxia following endotracheal intubation for total shoulder arthroplasty. | 2013 | 8 |
| 5 | 2013 | 5 | |
| 6 | Relating Noninvasive Cardiac Output and Total Peripheral Resistance Estimates to Physical Activity in an Ambulatory Setting | 2011 | 3 |
| 7 | 2015 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2016 | 0 |
About Bryan Haslam
Bryan Haslam is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 294 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Digital Radiography and Breast Imaging (2 papers), AI in cancer detection (2 papers), Optical Coherence Tomography Applications (1 paper), Cardiovascular and exercise physiology (1 paper), Neurosurgical Procedures and Complications (1 paper), Microfluidic and Bio-sensing Technologies (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Health Informatics (32 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Artificial Intelligence (184 citations), Neurology (18 citations) and Health Information Management (10 citations). Bryan Haslam has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include William Lotter, Abdul Rahman Diab, Jiye G. Kim, Giorgia Grisot, Eric Q. Wu, Gopal R. Vijayaraghavan, Jerrold L. Boxerman, Meiyun Wang, Jorge Onieva Onieva and Kevin Wu. Their work appears in journals such as Journal of the American Medical Informatics Association, Radiology Artificial Intelligence, Fire Technology, Optics Letters and Biomicrofluidics.
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.