| 2025 | ICASSP | Frequency Agnostic Tissue Characterization in Ultrasound Imaging using Backscattered Signal Statistics. | Abhinav Gadge, Abhishek Kumar, Debdoot Sheet |
| 2024 | ICIP | Fantom: Federated Adversarial Network for Training Multi-Sequence Magnetic Resonance Imaging in Semantic Segmentation. | Anupam Borthakur, Apoorva Srivastava, Avik Kar, Dipayan Dewan, Debdoot Sheet |
| 2024 | ICPR | MeDiANet: A Lightweight Network for Large-scale Multi-disease Classification of Multi-modal Medical Images Using Dilated Convolution and Attention Network. | Dipayan Dewan, Asim Manna, Apoorva Srivastava, Anupam Borthakur, Debdoot Sheet |
| 2024 | ICPR | Learning Neural Networks for Multi-label Medical Image Retrieval Using Hamming Distance Fabricated with Jaccard Similarity Coefficient. | Asim Manna, Debdoot Sheet |
| 2024 | ICPR | Constant Time Decision Trees and Random Forest. | Maddimsetti Srinivas, Debdoot Sheet |
| 2022 | MICCAI | Verifiable and Energy Efficient Medical Image Analysis with Quantised Self-attentive Deep Neural Networks. | Rakshith Sathish, Swanand R. Khare, Debdoot Sheet |
| 2019 | CVPR | Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network. | Rachana Sathish, Debdoot Sheet |
| 2018 | CVPR | Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms. | Aupendu Kar, Sri Phani Krishna Karri, Nirmalya Ghosh, Ramanathan Sethuraman, Debdoot Sheet |
| 2017 | CVPR | High-Magnification Multi-views Based Classification of Breast Fine Needle Aspiration Cytology Cell Samples Using Fusion of Decisions from Deep Convolutional Networks. | Hrushikesh Garud, Sri Phani Krishna Karri, Debdoot Sheet, Jyotirmoy Chatterjee, Manjunatha Mahadevappa, Ajoy Kumar Ray, Arindam Ghosh, Ashok K. Maity |
| 2017 | CVPR | Learning Latent Temporal Connectionism of Deep Residual Visual Abstractions for Identifying Surgical Tools in Laparoscopy Procedures. | Kaustuv Mishra, Rachana Sathish, Debdoot Sheet |
| 2017 | MICCAI | Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data. | Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger |