Soumick Chatterjee
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
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- Advanced MRI Techniques and Applications 5
- Medical Imaging Techniques and Applications 4
- Retinal Imaging and Analysis 2
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- Medical Image Segmentation Techniques 5
- Advanced Image Processing Techniques 3
- Co-authors
- Oliver Speck (15 shared papers)Andreas Nürnberger (14 shared papers)Georg Rose (3 shared papers)Debabrata Datta (1 shared paper)Alessandro Sciarra (4 shared papers)Steffen Oeltze‐Jafra (4 shared papers)Adam P. Levine (1 shared paper)Craig A. Glastonbury (1 shared paper)
In The Last Decade
Soumick Chatterjee
17 papers receiving 179 citations
Peers
Comparison fields: 5 of 47
- Neurology 57
- Radiology, Nuclear Medicine and Imaging 87
- Health Informatics 5
- Computer Vision and Pattern Recognition 68
- Artificial Intelligence 58
Countries citing papers authored by Soumick Chatterjee
This map shows the geographic impact of Soumick Chatterjee'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 Soumick Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumick Chatterjee more than expected).
Fields of papers citing papers by Soumick Chatterjee
This network shows the impact of papers produced by Soumick Chatterjee. 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 Soumick Chatterjee. The network helps show where Soumick Chatterjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Soumick Chatterjee, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2022 | 23 | |
| 3 | 2021 | 16 | |
| 4 | 2024 | 12 | |
| 5 | 2019 | 12 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2024 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 1 | |
| 17 | DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. | 2020 | 1 |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Soumick Chatterjee
Soumick Chatterjee is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 181 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Advanced MRI Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (4 papers), Advanced Image Processing Techniques (3 papers), AI in cancer detection (3 papers), Retinal Imaging and Analysis (2 papers), Advanced X-ray and CT Imaging (2 papers) and Brain Tumor Detection and Classification (2 papers). The work is most often cited by research in Neurology (57 citations), Radiology, Nuclear Medicine and Imaging (87 citations), Health Informatics (5 citations), Computer Vision and Pattern Recognition (68 citations) and Artificial Intelligence (58 citations). Soumick Chatterjee has collaborated with scholars based in Germany, Italy and Belgium. Frequent co-authors include Oliver Speck, Andreas Nürnberger, Georg Rose, Debabrata Datta, Alessandro Sciarra, Steffen Oeltze‐Jafra, Adam P. Levine, Craig A. Glastonbury, Hendrik Mattern and Edoardo Giacopuzzi. Their work appears in journals such as Scientific Reports, Nature Communications, Applied Intelligence, Magnetic Resonance in Medicine and Applied Sciences.
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.