Brian H. Krasner
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
Papers in
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- Medical Imaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 3
- Ultrasound Imaging and Elastography 2
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- Advanced Data Compression Techniques 7
- Co-authors
- Seong K. Mun (15 shared papers)Brian S. Garra (10 shared papers)Steven C. Horii (5 shared papers)Robert K. Zeman (2 shared papers)Susan M. Ascher (1 shared paper)S.-C.B. Lo (3 shared papers)Shih‐Chung B. Lo (7 shared papers)Lori L. Barr (3 shared papers)
- Journals
- Radiographics (2 papers)Journal of Imaging Informatics in Medicine (2 papers)Journal of Computer Assisted Tomography (1 paper)Ultrasonic Imaging (1 paper)Gastrointestinal Endoscopy (1 paper)
- Partner nations
- United StatesSouth KoreaPortugal
In The Last Decade
Brian H. Krasner
22 papers receiving 320 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 122
- Computer Vision and Pattern Recognition 98
- Artificial Intelligence 142
- Pathology and Forensic Medicine 38
- Equine 3
Countries citing papers authored by Brian H. Krasner
This map shows the geographic impact of Brian H. 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 H. 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 H. Krasner more than expected).
Fields of papers citing papers by Brian H. Krasner
This network shows the impact of papers produced by Brian H. 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 H. Krasner. The network helps show where Brian H. Krasner may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian H. 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 191 | |
| 2 | 1990 | 30 | |
| 3 | 1995 | 22 | |
| 4 | 1994 | 21 | |
| 5 | 1990 | 13 | |
| 6 | Quantitative sonographic feature analysis of clinical infant hypoxia: a pilot study. | 1996 | 13 |
| 7 | 1992 | 11 | |
| 8 | 1989 | 6 | |
| 9 | 1994 | 6 | |
| 10 | 1991 | 5 | |
| 11 | Rectal bleeding and hemorrhage in diverticulosis and diverticulitis. | 1962 | 3 |
| 12 | 1992 | 3 | |
| 13 | 1989 | 2 | |
| 14 | 1989 | 2 | |
| 15 | 1992 | 2 | |
| 16 | 1993 | 2 | |
| 17 | 1994 | 2 | |
| 18 | 1988 | 1 | |
| 19 | 1992 | 1 | |
| 20 | 1992 | 1 |
About Brian H. Krasner
Brian H. Krasner is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Media Technology, having authored 24 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (7 papers), AI in cancer detection (6 papers), Digital Radiography and Breast Imaging (4 papers), Medical Imaging Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Gastrointestinal disorders and treatments (2 papers), Numerical Methods and Algorithms (2 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (122 citations), Computer Vision and Pattern Recognition (98 citations), Artificial Intelligence (142 citations), Pathology and Forensic Medicine (38 citations) and Equine (3 citations). Brian H. Krasner has collaborated with scholars based in United States, South Korea and Portugal. Frequent co-authors include Seong K. Mun, Brian S. Garra, Steven C. Horii, Robert K. Zeman, Susan M. Ascher, S.-C.B. Lo, Shih‐Chung B. Lo, Lori L. Barr, J W Allison and George Kallimanis. Their work appears in journals such as Radiographics, Journal of Imaging Informatics in Medicine, Journal of Computer Assisted Tomography, Ultrasonic Imaging 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.