My research is focused on developing machine learning algorithms with deep neural networks and graphical models for visual computing including medical image analysis and surgical informatics.
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Designing Deep Neural High-Density Compression Engines for Radiology Images by Raj A., Sathish R. , Sarkar T. , Sethuraman R. , Sheet D. Circuits, Systems, and Signal Processing 42 643-682 (2023)
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Spatiotemporal Deep Networks for Detecting Abnormality in Videos by Sharma M. K., Sheet D. , Biswas P. K. Multimedia Tools and Applications 79 11237-11268 (2020)
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Frame-level global context modeling for detection and localization of abnormality by Sharma M. K., Kumar V. , Sheet D. , Biswas P. K. Multimedia Tools and Applications 1-26 (2023)
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Cholectriplet2021: A benchmark challenge for surgical action triplet recognition by Nwoye C. I., Raviteja S. , Sathish R. , Balasubramanian V. , Sheet D. Medical Image Analysis 86 102803--21 (2023)
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I m GROOT: a multi head multi GRaph netwOrk recognizing surgical actiOn Triplets by Raviteja S., Sathish R. , Agrawal R. , De U. , Chakrabarti P. P., Sheet D. Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing 1-9 (2022)
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Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks by Sathish R., Khare S. R., Sheet D. 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) W. Affordable AI and Healthcare for Resource Diverse Global Health (FAIR 2022) 178-189 (2022)
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CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation by Kavur A. E., Sheet D. Medical Image Analysis 69 101950-101950 (2021)
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Local instance and context dictionary-based detection and localization of abnormalities by Sharma M. K., Sheet D. , Biswas P. K. Machine Vision and Applications 32 1-21 (2021)
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Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN by Das K., Conjeti S. , Chatterjee J. , Sheet D. IEEE Access 8 213502-213511 (2020)
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IDRiD: Diabetic Retinopathy Segmentation and Grading Challenge by Porwal P., Sheet D. Medical Image Analysis 59 101561-101561 (2020)
Principal Investigator
- Deep Curvelet-Net- A Generalized CNN architecture for Medical Image Analysis and Restoration using Curvelet Features Anusandhan National Research Foundation (ANRF)
Ph. D. Students
Abhishek Kumar
Area of Research: Medical image analysis, video processing, explainable models.
Anupam Borthakur
Area of Research: Federated Learning under Differential Privacy for Medical Imaging
Ashraf Haroon Rashid
Area of Research: Multilinear Tensor Algebra for Deep Learning and Medical Imaging
Chinmay Kumar Behera
Area of Research: Deep Learning, Machine Vision, Industrial Process Monitoring
Dipayan Dewan
Area of Research: Neuro information science, Music cognition, Emotion analytics
Laveena Kewlani
Area of Research: Deep Learning, Federated Learning, Distributed Optimization
Maddimsetti Srinivas
Area of Research: Computational medical imaging and image analysis
Raj Krishan Ghosh
Area of Research: Computational ultrasonic imaging and deep learning
Sista Raviteja
Area of Research: Surgical Video Analytics and Surgical Informatics
Sourav Datta
Area of Research: Microfluidics
MS Students
Vimal Prasad
Area of Research: Deep Learning Models for Cross Modal Medical Image Simulation