Brian Krasner
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
- MRI in cancer diagnosis
- Artificial Intelligence top 10%
- AI in cancer detection
Papers in
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- Advanced Data Compression Techniques 6
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- Medical Imaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 3
- Ultrasound Imaging and Elastography 2
- Co-authors
- Seong K. Mun (14 shared papers)Brian S. Garra (10 shared papers)Robert K. Zeman (2 shared papers)Steven C. Horii (5 shared papers)Susan M. Ascher (1 shared paper)S.-C.B. Lo (3 shared papers)Lori L. Barr (3 shared papers)Shih‐Chung B. Lo (7 shared papers)
- Journals
- Journal of Digital Imaging (2 papers)Radiographics (2 papers)IEEE Transactions on Medical Imaging (1 paper)Investigative Radiology (1 paper)Gastrointestinal Endoscopy (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Brian Krasner
22 papers receiving 303 citations
Peers
Comparison fields: 5 of 71
- Radiology, Nuclear Medicine and Imaging 150
- Artificial Intelligence 156
- Computer Vision and Pattern Recognition 97
- Pathology and Forensic Medicine 52
- Media Technology 16
Countries citing papers authored by Brian Krasner
This map shows the geographic impact of Brian Krasner'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 Brian Krasner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Krasner more than expected).
Fields of papers citing papers by Brian Krasner
This network shows the impact of papers produced by Brian Krasner. 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 Brian Krasner. The network helps show where Brian Krasner may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Krasner, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 175 | |
| 2 | 1990 | 30 | |
| 3 | 1995 | 22 | |
| 4 | 1994 | 20 | |
| 5 | 1990 | 13 | |
| 6 | Quantitative sonographic feature analysis of clinical infant hypoxia: a pilot study. | 1996 | 12 |
| 7 | 1992 | 11 | |
| 8 | 1989 | 6 | |
| 9 | 1994 | 5 | |
| 10 | 1991 | 5 | |
| 11 | 1993 | 2 | |
| 12 | 1989 | 2 | |
| 13 | 1994 | 2 | |
| 14 | 1992 | 2 | |
| 15 | Rectal bleeding and hemorrhage in diverticulosis and diverticulitis. | 1962 | 2 |
| 16 | 1992 | 2 | |
| 17 | 1989 | 2 | |
| 18 | 1988 | 1 | |
| 19 | 1992 | 1 | |
| 20 | Image data compression for PACS. | 1991 | 1 |
About Brian Krasner
Brian Krasner is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine and Surgery, having authored 23 papers that have together received 318 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Advanced Data Compression Techniques (6 papers), Digital Radiography and Breast Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Ultrasound Imaging and Elastography (2 papers), Distributed and Parallel Computing Systems (2 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (150 citations), Artificial Intelligence (156 citations), Computer Vision and Pattern Recognition (97 citations), Pathology and Forensic Medicine (52 citations) and Media Technology (16 citations). Brian Krasner has collaborated with scholars based in United States and Canada. Frequent co-authors include Seong K. Mun, Brian S. Garra, Robert K. Zeman, Steven C. Horii, Susan M. Ascher, S.-C.B. Lo, Lori L. Barr, Shih‐Chung B. Lo, J W Allison and William S. Ball. Their work appears in journals such as Journal of Digital Imaging, Radiographics, IEEE Transactions on Medical Imaging, Investigative Radiology and Gastrointestinal Endoscopy.
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.