Amit Sethi
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
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- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Advanced Vision and Imaging
Papers in
-
- Advanced Image Processing Techniques 11
- Advanced Vision and Imaging 9
- Image and Signal Denoising Methods 8
- Video Surveillance and Tracking Methods 8
- Advanced Image and Video Retrieval Techniques 7
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- AI in cancer detection 28
- Co-authors
- Abhishek Vahadane (6 shared papers)Neeraj Kumar (15 shared papers)Ruchika Verma (5 shared papers)Maximilian Baust (2 shared papers)Katja Steiger (2 shared papers)Shadi Albarqouni (2 shared papers)Anna Melissa Schlitter (2 shared papers)Nassir Navab (2 shared papers)
- Journals
- Cancer Research (4 papers)Journal of Pathology Informatics (3 papers)IEEE Transactions on Medical Imaging (3 papers)IEEE Transactions on Multimedia (2 papers)Ultrasonics (2 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Amit Sethi
82 papers receiving 2.4k citations
Amit Sethi's Hit Papers
Peers
Comparison fields: 5 of 128
- Biophysics 340
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 1.4k
- Radiology, Nuclear Medicine and Imaging 757
- Health Informatics 32
Countries citing papers authored by Amit Sethi
This map shows the geographic impact of Amit Sethi'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 Amit Sethi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Sethi more than expected).
Fields of papers citing papers by Amit Sethi
This network shows the impact of papers produced by Amit Sethi. 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 Amit Sethi. The network helps show where Amit Sethi may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Sethi, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology Hit paper breakdown → | 2017 | 799 |
| 2 | Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images Hit paper breakdown → | 2016 | 537 |
| 3 | 2014 | 156 | |
| 4 | 2015 | 71 | |
| 5 | 2007 | 62 | |
| 6 | 2023 | 54 | |
| 7 | 2005 | 51 | |
| 8 | 2020 | 50 | |
| 9 | 2016 | 45 | |
| 10 | 2010 | 42 | |
| 11 | 2017 | 38 | |
| 12 | 2020 | 34 | |
| 13 | 2017 | 34 | |
| 14 | 2021 | 33 | |
| 15 | 2016 | 33 | |
| 16 | 2018 | 31 | |
| 17 | 2013 | 26 | |
| 18 | 2019 | 24 | |
| 19 | 2004 | 23 | |
| 20 | 2017 | 23 |
About Amit Sethi
Amit Sethi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Biophysics, having authored 93 papers that have together received 2.5k indexed citations. Recurring topics across this work include AI in cancer detection (28 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Advanced Image Processing Techniques (11 papers), Advanced Vision and Imaging (9 papers), Image and Signal Denoising Methods (8 papers), Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Cell Image Analysis Techniques (7 papers). The work is most often cited by research in Biophysics (340 citations), Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (1.4k citations), Radiology, Nuclear Medicine and Imaging (757 citations) and Health Informatics (32 citations). Amit Sethi has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Abhishek Vahadane, Neeraj Kumar, Ruchika Verma, Maximilian Baust, Katja Steiger, Shadi Albarqouni, Anna Melissa Schlitter, Nassir Navab, Tingying Peng and Iréne Esposito. Their work appears in journals such as Cancer Research, Journal of Pathology Informatics, IEEE Transactions on Medical Imaging, IEEE Transactions on Multimedia and Ultrasonics.
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.