Home > Academics > Academic Units > Faculty of Engineering and Architecture (FoE&A) > Electrical Engineering > Debdoot Sheet
Assistant Professor Grade-I
Electrical Engineering
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.
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)
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)
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)
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)
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)
CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation by Kavur A. E., Sheet D. Medical Image Analysis 69 101950-101950 (2021)
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)
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)
IDRiD: Diabetic Retinopathy Segmentation and Grading Challenge by Porwal P., Sheet D. Medical Image Analysis 59 101561-101561 (2020)
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)
Adani AI Research Fellowship Program Adani Enterprises Ltd.
AI-based CT Reconstruction for Low Dose, Low Resolution Scan Wipro GE Healthcare Pvt Ltd.
Rachana Sathish
Area of Research: Computer assisted intervention, machine learning, medical image computing
Maddimsetti Srinivas
Area of Research: Computational medical imaging and image analysis
Abhishek Kumar
Area of Research: Medical image analysis, video processing, explainable models.
Laveena Kewlani
Area of Research: Deep Learning, Federated Learning, Distributed Optimization
Apoorva Srivastava
Area of Research: Biomedical Signal Processing
Chinmay Kumar Behera
Area of Research: Deep Learning, Machine Vision, Industrial Process Monitoring
Alik Pramanick
Area of Research: Surgical information and audio-video event analysis
Anupam Borthakur
Area of Research: Federated Learning under Differential Privacy for Medical Imaging
Raj Krishan Ghosh
Area of Research: Computational ultrasonic imaging and deep learning
Ashraf Haroon Rashid
Area of Research: Multilinear Tensor Algebra for Deep Learning and Medical Imaging
Seban James
Area of Research: Robotics
Sista Raviteja
Area of Research: Surgical Video Analytics and Surgical Informatics
Abir Chowdhury
Area of Research: Medical imaging, Deep learning, Neuroimaging, Neuro information science
Asim Manna
Area of Research: Deep Learning, Medical Imaging, Visual Hashing
Dipayan Dewan
Area of Research: Neuro information science, Music cognition, Emotion analytics
Rakshith Sathish
Area of Research: Explainable Deep Learning