Debdoot Sheet
Indian Institute of Technology Kharagpur
H-index: 23
Asia-India
Top articles of Debdoot Sheet
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
SERPENT-VLM: Self-Refining Radiology Report Generation Using Vision Language Models | arXiv preprint arXiv:2404.17912 | Manav Nitin Kapadnis Sohan Patnaik Abhilash Nandy Sourjyadip Ray Pawan Goyal | 2024/4/27 |
Knowledge Distillation of Convolutional Neural Networks through Feature Map Transformation using Decision Trees | arXiv preprint arXiv:2403.06089 | Maddimsetti Srinivas Debdoot Sheet | 2024/3/10 |
Linear Neural Network as a Fast Solver for Dictionary Learning | Authorea Preprints | Rachana Sathish Debdoot Sheet Swanand Khare | 2023/10/30 |
Attention in a Little Network is All You Need to Go Green | Dipayan Dewan Anupam Borthakur Debdoot Sheet | 2023/4/18 | |
Frame-level global context modeling for detection and localization of abnormality | Multimedia Tools and Applications | Manoj Kumar Sharma Vikas Kumar Debdoot Sheet Prabir Kumar Biswas | 2023/10 |
Designing deep neural high-density compression engines for radiology images | Circuits, Systems, and Signal Processing | Aditya Raj Rakshith Sathish Tandra Sarkar Ramanathan Sethuraman Debdoot Sheet | 2023/2 |
CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection | Medical Image Analysis | Chinedu Innocent Nwoye Tong Yu Saurav Sharma Aditya Murali Deepak Alapatt | 2023/10/1 |
PVA-based Rat Liver Tumor Phantom for Ultrasound Imaging | Abhishek Kumar Debdoot Sheet | 2023/11/7 | |
Exploiting Richness of Learned Compressed Representation of Images for Semantic Segmentation | Ravi Kakaiya Rakshith Sathish Debdoot Sheet Ramananthan Sethuraman | 2023/7/10 | |
FedERA: Framework for Federated Learning with Diversified Edge Resource Allocation | Authorea Preprints | Anupam Borthakur Asim Manna Aditya Kasliwal Dipayan Dewan Debdoot Sheet | 2023/10/31 |
Cholectriplet2021: A benchmark challenge for surgical action triplet recognition | Medical Image Analysis | Chinedu Innocent Nwoye Deepak Alapatt Tong Yu Armine Vardazaryan Fangfang Xia | 2023/5/1 |
Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks | Rakshith Sathish Swanand Khare Debdoot Sheet | 2022/9/18 | |
Design of a System and Method for Optimal selection of Tumor Slice using Linear Ultrasound Imaging for Histopathology | Abhishek Kumar Debdoot Sheet | 2022/12/8 | |
I’m GROOT: a multi head multi GRaph netwOrk recognizing surgical actiOn Triplets✱ | Raviteja Sista Rachana Sathish Riya Agrawal Utpal De Partha Chakrabarti | 2022/12/8 | |
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: Third MICCAI Workshop, DeCaF 2022, and Second MICCAI … | Shadi Albarqouni Spyridon Bakas Sophia Bano M Jorge Cardoso Bishesh Khanal | 2022/10/8 | |
Distill DSM: Computationally efficient method for segmentation of medical imaging volumes | Harsh Maheshwari Vidit Goel Ramanathan Sethuraman Debdoot Sheet | 2021/8/25 | |
Assessing lobe-wise burden of COVID-19 infection in computed tomography of lungs using knowledge fusion from multiple datasets | Mahalakshumi Visvanathan Velmurugan Balasubramanian Rachana Sathish Suhasini Balasubramaniam Debdoot Sheet | 2021/11/1 | |
Adversarial training of deep convolutional neural network for multi-organ segmentation from multi-sequence MRI of the abdomen | Vikas Kumar Manoj Kumar Sharma R Jehadeesan B Venkatraman Debdoot Sheet | 2021 | |
Local instance and context dictionary-based detection and localization of abnormalities | Machine Vision and Applications | Manoj Kumar Sharma Debdoot Sheet Prabir Kumar Biswas | 2021/5 |
Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test | Vikas Kumar Manoj Kumar Sharma Ramalingam Jehadeesan Balasubramaniam Venkatraman Garima Suman | 2021/11/1 |
Co-Authors
