srijan mazumdar
Indian Institute of Liver and Digestive Sciences, Tata Memorial Hospital, Institute of post graduate medical education and research and SSKM Hospital, Medical College and Hospital Kolkata
About
Dr. Srijan Mazumdar, M.D., D.M. (Gastroenterology), is Assistant Professor of Gastroenterology, GI and Hepatic Oncology at the Indian Institute of Liver and Digestive Sciences, Kolkata. Trained at Tata Memorial Hospital and IPGMER, he has published extensively on gastrointestinal oncology, hepatology, and AI applications in endoscopy, including co-developing India’s first indigenous AI algorithm for automated polyp detection. He is a recipient of multiple academic honors and an active member of INASL, ISG, and international gastroenterology societies.
Employment
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Indian Institute of Liver and Digestive Sciences Assistant Professor2018 - Present
Education
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Tata Memorial Hospital D.M. (Gastroenterology)2014 - 2018
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Institute of post graduate medical education and research and SSKM Hospital M.D. (Medicine)2008 - 2011
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Medical College and Hospital Kolkata MBBS2000 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (37)
- Multi-Axial Attention Network for polyp characterization Save
- Reassessing pregnancy outcomes in inflammatory bowel disease Save
- Super-Resolution of Colonoscopy Polyp Images Using Deepnet Methods Save
- Edge-Preserving frequency-enhancement attention module for polyp segmentation in endoscopic imaging Save
- Dialogue Based Medical Entity Recognition Save
- A novel AI approach for characterizing sporadic colonic hamartomas using NBI Save
- Enhancing polyp classification: A comparative analysis of spatio-temporal techniques Save
- Automatic Sporadic Colonic Hamartoma Characterisation Using Narrow Band Imaging Colonoscopy Save
- Comparative Analysis of Performance of Different Deep Architectures for Histopathology Image Segmentation to Detect Liver Disease Save
- Differentiating Sporadic Colonic Hamartoma From Adenomas in Narrow Band Imaging Using a Novel AI Network: Attention Based Multi-Scale CNN (AM-Net) Save