Debdoot Sheet
Impact in
- Ophthalmology top 1%
- Retinal Diseases and Treatments
-
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Medical Image Segmentation Techniques 11
- Digital Imaging for Blood Diseases 9
- Image Retrieval and Classification Techniques 9
-
- Radiomics and Machine Learning in Medical Imaging 11
- Retinal Imaging and Analysis 9
- Co-authors
- Jyotirmoy Chatterjee (29 shared papers)Sailesh Conjeti (9 shared papers)Abhijit Guha Roy (6 shared papers)Sri Phani Krishna Karri (12 shared papers)Amin Katouzian (14 shared papers)Nassir Navab (14 shared papers)Manjunatha Mahadevappa (12 shared papers)Hrushikesh Garud (10 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (3 papers)Computers in Biology and Medicine (2 papers)Scientific Reports (2 papers)Medical Image Analysis (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- IndiaGermanyUnited States
In The Last Decade
Debdoot Sheet
80 papers receiving 1.5k citations
Debdoot Sheet's Hit Papers
Peers
Comparison fields: 5 of 108
- Ophthalmology 341
- Radiology, Nuclear Medicine and Imaging 796
- Computer Vision and Pattern Recognition 706
- Media Technology 212
- Health Informatics 28
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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks Hit paper breakdown → | 2017 | 485 |
| 2 | 2010 | 326 | |
| 3 | 2018 | 61 | |
| 4 | 2015 | 59 | |
| 5 | 2018 | 56 | |
| 6 | 2017 | 44 | |
| 7 | 2020 | 41 | |
| 8 | 2011 | 31 | |
| 9 | 2017 | 29 | |
| 10 | 2015 | 28 | |
| 11 | 2012 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2017 | 19 | |
| 14 | 2013 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2011 | 18 | |
| 17 | 2017 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2021 | 16 | |
| 20 | 2018 | 16 |
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 Biophysics, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include AI in cancer detection (19 papers), Optical Coherence Tomography Applications (13 papers), Medical Image Segmentation Techniques (11 papers), Photoacoustic and Ultrasonic Imaging (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Retinal Imaging and Analysis (9 papers), Digital Imaging for Blood Diseases (9 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Ophthalmology (341 citations), Radiology, Nuclear Medicine and Imaging (796 citations), Computer Vision and Pattern Recognition (706 citations), Media Technology (212 citations) and Health Informatics (28 citations). Debdoot Sheet has collaborated with scholars based in India, Germany and United States. Frequent co-authors include Jyotirmoy Chatterjee, Sailesh Conjeti, Abhijit Guha Roy, Sri Phani Krishna Karri, Amin Katouzian, Nassir Navab, Manjunatha Mahadevappa, Hrushikesh Garud, Christian Wachinger and Amit Suveer. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, Computers in Biology and Medicine, Scientific Reports, Medical Image Analysis 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.