Debdoot Sheet
Impact in
-
- Medical Image Segmentation Techniques
- Image Enhancement Techniques
- Advanced Neural Network Applications
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- Medical Image Segmentation Techniques 18
- Advanced Neural Network Applications 7
-
- Ultrasound Imaging and Elastography 7
- Retinal Imaging and Analysis 7
- Co-authors
- Jyotirmoy Chatterjee (29 shared papers)Abhijit Guha Roy (8 shared papers)Sailesh Conjeti (10 shared papers)Nassir Navab (15 shared papers)Amin Katouzian (15 shared papers)Sri Phani Krishna Karri (12 shared papers)Christian Wachinger (2 shared papers)Manjunatha Mahadevappa (12 shared papers)
- Journals
- Medical Image Analysis (6 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)Computers in Biology and Medicine (2 papers)Scientific Reports (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Debdoot Sheet
99 papers receiving 2.8k citations
Debdoot Sheet's Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 1.3k
- Health Informatics 107
- Radiology, Nuclear Medicine and Imaging 935
- Artificial Intelligence 588
- Surgery 168
Countries citing papers authored by Debdoot Sheet
This map shows the geographic impact of Debdoot Sheet'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 Debdoot Sheet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debdoot Sheet more than expected).
Fields of papers citing papers by Debdoot Sheet
This network shows the impact of papers produced by Debdoot Sheet. 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 Debdoot Sheet. The network helps show where Debdoot Sheet may publish in the future.
Co-authors
The 25 scholars most cited alongside Debdoot Sheet, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation Hit paper breakdown → | 2020 | 609 |
| 2 | ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks Hit paper breakdown → | 2017 | 510 |
| 3 | 2010 | 329 | |
| 4 | IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge Hit paper breakdown → | 2019 | 279 |
| 5 | 2017 | 69 | |
| 6 | 2018 | 64 | |
| 7 | 2018 | 64 | |
| 8 | 2015 | 61 | |
| 9 | 2018 | 56 | |
| 10 | 2023 | 50 | |
| 11 | 2017 | 46 | |
| 12 | 2020 | 41 | |
| 13 | 2017 | 35 | |
| 14 | 2015 | 31 | |
| 15 | 2011 | 29 | |
| 16 | 2019 | 28 | |
| 17 | 2017 | 26 | |
| 18 | 2023 | 26 | |
| 19 | 2012 | 24 | |
| 20 | 2015 | 20 |
About Debdoot Sheet
Debdoot Sheet is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Surgery, having authored 109 papers that have together received 2.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), AI in cancer detection (15 papers), Optical Coherence Tomography Applications (8 papers), Surgical Simulation and Training (7 papers), Advanced Neural Network Applications (7 papers), Ultrasound Imaging and Elastography (7 papers), Retinal Imaging and Analysis (7 papers) and Coronary Interventions and Diagnostics (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Health Informatics (107 citations), Radiology, Nuclear Medicine and Imaging (935 citations), Artificial Intelligence (588 citations) and Surgery (168 citations). Debdoot Sheet has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Jyotirmoy Chatterjee, Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Amin Katouzian, Sri Phani Krishna Karri, Christian Wachinger, Manjunatha Mahadevappa, Hrushikesh Garud and Amit Suveer. Their work appears in journals such as Medical Image Analysis, IEEE Journal of Biomedical and Health Informatics, Computers in Biology and Medicine, Scientific Reports and IEEE Transactions on Biomedical Engineering.
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.