IITKGP
Learn about the exciting world of Deep Learning and Medical Imaging. Register for the DLMI SS 2024 Summer School on http://digital-health.one/dlmi/2024/ | Deep Learning for Visual Computing Summer School 2017 (DLVC 2017) - http://www.ee.iitkgp.ac.in/ispschool/ |

Research Areas

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)
  • 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)
  • 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)

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