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

Adani AI Research Fellowship Program Adani Enterprises Ltd.

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