| 2025 | CVPR | Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation. | Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha A. Kass-Hout |
| 2024 | MICCAI | MetaStain: Stain-Generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars. | Aishik Konwer, Prateek Prasanna |
| 2023 | ICCV | Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. | Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna |
| 2022 | CVPR | Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. | Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna |
| 2021 | MICCAI | Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. | Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna |
| 2019 | ICASSP | Facial Micro-expression Spotting and Recognition Using Time Contrasted Feature with Visual Memory. | Sauradip Nag, Ayan Kumar Bhunia, Aishik Konwer, Partha Pratim Roy |
| 2018 | ICPR | Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network. | Ayan Kumar Bhunia, Abir Bhowmick, Ankan Kumar Bhunia, Aishik Konwer, Prithaj Banerjee, Partha Pratim Roy, Umapada Pal |
| 2018 | ICPR | Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks. | Ankan Kumar Bhunia, Ayan Kumar Bhunia, Prithaj Banerjee, Aishik Konwer, Abir Bhowmick, Partha Pratim Roy, Umapada Pal |
| 2018 | ICPR | Staff line Removal using Generative Adversarial Networks. | Aishik Konwer, Ayan Kumar Bhunia, Abir Bhowmick, Ankan Kumar Bhunia, Prithaj Banerjee, Partha Pratim Roy, Umapada Pal |