CHAOS challenge-combined (CT-MR) healthy abdominal organ segmentation by Kavur A. E., Sheet D. Medical Image Analysis 69 101950-101950 (2021)

IDRiD: Diabetic Retinopathy Segmentation and Grading Challenge by Porwal P., Sheet D. Medical Image Analysis 59 101561-101561 (2020)

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)

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)

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)

Anatomical Structure Segmentation in Ultrasound Volumes using Cross Frame Belief Propagating Iterative Random Walks by China D., Illanes A. , Poudel P. , Friebe M. , Mitra P. , Sheet D. IEEE Journal of Biomedical and Health Informatics - (2018)

Lumen segmentation in intravascular optical coherence tomography using backscattering tracked and initialized random walks by Guha Roy A., Conjeti S. , Carlier S. J., Dutta P. K., Kastrati A. , Laine A. F., Navab N. , Katouzian A. , Sheet D. IEEE Journal of Biomedical and Health Informatics 20 606-614 (2016)

Distill DSM: Computationally efficient method for segmentation of medical imaging volumes by Maheshwari H., Goel V. , Sethuraman R. , Sheet D. Medical Imaging with Deep Learning 1-11 (2021)

Federated Learning for Site Aware Chest Radiograph Screening by Chakravarty A., Kar A. , Sethuraman R. , Sheet D. 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) 1077-1081 (2021)

Zero-Shot Adaptation to Simulate 3D Ultrasound Volume by Learning a Multilinear Separable 2D Convolutional Neural Network by Mooga A., Sethuraman R. , Sheet D. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) 1780-1783 (2020)

Principal Investigator

MIRIAD: Many Incarnations of Screening Radiology for High Throughput Disease Screening Via Multiple Instance Reinforcement Learning with Adversarial Deep Neural Networks INTEL TECHNOLOGY INDIA PRIVATE LIMITED

Collaborative Research on Artificial Intelligence, Imaging and Computing Platforms for Steel Plant Process Monitoring TATA Steel Limited

Ph.D. Students

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

MS Students

Rakshith Sathish
Area of Research: Explainable Deep Learning