| 2026 | AAAI | NoMoColor: Unified Noise Modulation for Enhanced Diffusion-based Image Colorization (Student Abstract). | Ankan Deria, Dwarikanath Mahapatra, Murari Mondal, Sudipta Roy |
| 2026 | AAAI | VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy, Imran Razzak, Mauricio Reyes |
| 2025 | ICCV | DiMPLE - Disentangled Multi-Modal Prompt Learning: Enhancing Out-of-Distribution Alignment with Invariant and Spurious Feature Separation. | Umaima Rahman, Mohammad Yaqub, Dwarikanath Mahapatra |
| 2025 | MICCAI | Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation Under Shift. | Umaima Rahman, Raza Imam, Mohammad Yaqub, Dwarikanath Mahapatra |
| 2025 | WACV | Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet. | Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy |
| 2024 | AAAI | Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran |
| 2024 | CVPR | InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation. | Ankan Deria, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy |
| 2024 | ICPR | SEANet: Rethinking Skip-Connections Design in Encoder-Decoder Networks via Synergistic Spatial-Spectral Fusion for LDCT Denoising. | Abhijit Das, Vandan Gorade, Dwarikanath Mahapatra, Sudipta Roy |
| 2024 | MICCAI | Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images. | Abhijit Das, Vandan Gorade, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy |
| 2024 | MICCAI | INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models. | Shelley Zixin Shu, Aurlie Pahud de Mortanges, Alexander Poellinger, Dwarikanath Mahapatra, Mauricio Reyes |
| 2023 | AAAI | Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. | Behzad Bozorgtabar, Dwarikanath Mahapatra |
| 2023 | CVPR | Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. | Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge |
| 2023 | MICCAI | AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. | Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran |
| 2023 | MICCAI | Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. | Dwarikanath Mahapatra, Antonio Jos Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge |
| 2023 | MICCAI | EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. | Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge |
| 2023 | WACV | Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. | Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring |
| 2022 | BMVC | Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. | Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran |
| 2022 | ECCV | Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Mauricio Reyes |
| 2022 | ECCV | Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification. | Dwarikanath Mahapatra, Steven Korevaar, Behzad Bozorgtabar, Ruwan B. Tennakoon |
| 2022 | ECCV | Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification. | Dwarikanath Mahapatra, Mauricio Reyes |
| 2022 | IVCNZ | Medical VQA: MixUp Helps Keeping it Simple. | Jitender Singh Virk, Dwarikanath Mahapatra, Deepti R. Bathula |
| 2022 | MICCAI | LifeLonger: A Benchmark for Continual Disease Classification. | Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek |
| 2022 | MICCAI | Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation. | Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge |
| 2021 | MICCAI | Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. | Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge |
| 2021 | MICCAI | Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge |
| 2021 | MICCAI | Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. | Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge |
| 2021 | MICCAI | This Explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks. | Abhineet Pandey, Bhawna Paliwal, Abhinav Dhall, Ramanathan Subramanian, Dwarikanath Mahapatra |
| 2021 | MICCAI | Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. | Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra |
| 2020 | CVPR | Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao |
| 2020 | MICCAI | SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. | Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran |
| 2020 | MICCAI | Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao |
| 2020 | MICCAI | Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps. | James Tong, Dwarikanath Mahapatra, C. Paul Bonnington, Tom Drummond, Zongyuan Ge |
| 2019 | ICCV | SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. | Behzad Bozorgtabar, Mohammad Saeed Rad, Dwarikanath Mahapatra, Jean-Philippe Thiran |
| 2019 | ICIP | Low Dose Abdominal CT Image Reconstruction: An Unsupervised Learning Based Approach. | Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, K. R. Rao, Zahid Akhtar, Dipankar Dasgupta |
| 2019 | MICCAI | Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation. | Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond |
| 2018 | MICCAI | Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes |
| 2018 | MICCAI | Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks. | Dwarikanath Mahapatra, Zongyuan Ge, Suman Sedai, Rajib Chakravorty |
| 2018 | MICCAI | Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning. | Suman Sedai, Bhavna Josephine Antony, Dwarikanath Mahapatra, Rahil Garnavi |
| 2018 | MICCAI | Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images. | Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi |
| 2017 | MICCAI | Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. | Dwarikanath Mahapatra, Behzad Bozorgtabar, Sajini Hewavitharanage, Rahil Garnavi |
| 2017 | MICCAI | Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder. | Suman Sedai, Dwarikanath Mahapatra, Sajini Hewavitharanage, Stefan Maetschke, Rahil Garnavi |
| 2016 | DICTA | Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features. | Pallab Kanti Roy, Rajib Chakravorty, Suman Sedai, Dwarikanath Mahapatra, Rahil Garnavi |
| 2016 | MICCAI | Retinal Image Quality Classification Using Saliency Maps and CNNs. | Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi |
| 2015 | MICCAI | Visual Saliency Based Active Learning for Prostate MRI Segmentation. | Dwarikanath Mahapatra, Joachim M. Buhmann |
| 2015 | MICCAI | Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. | Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra |
| 2014 | MICCAI | Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation. | Dwarikanath Mahapatra, Peter J. Schffler, Jeroen A. W. Tielbeek, Carl A. J. Puylaert, Jesica C. Makanyanga, Alex Menys, Rado Andriantsimiavona, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann |
| 2014 | MICCAI | Semi-automatic Crohn's Disease Severity Estimation on MR Imaging. | Peter J. Schffler, Dwarikanath Mahapatra, Robiel Naziroglu, Zhang Li, Carl A. J. Puylaert, Rado Andriantsimiavona, Franciscus M. Vos, Doug A. Pends, C. Yung Nio, Jaap Stoker, Stuart A. Taylor, Joachim M. Buhmann |
| 2013 | MICCAI | Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease. | Dwarikanath Mahapatra, Peter J. Schffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann |
| 2013 | MICCAI | A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images. | Peter J. Schffler, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Franciscus M. Vos, Jesica Makanyanga, Doug Pends, C. Yung Nio, Jaap Stoker, Stuart A. Taylor, Joachim M. Buhmann |
| 2012 | MICCAI | Landmark Detection in Cardiac MRI Using Learned Local Image Statistics. | Dwarikanath Mahapatra |
| 2012 | MICCAI | Cardiac LV and RV Segmentation Using Mutual Context Information. | Dwarikanath Mahapatra, Joachim M. Buhmann |
| 2012 | MICCAI | A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes. | Dwarikanath Mahapatra, Peter Schueffler, Jeroen A. W. Tielbeek, Joachim M. Buhmann, Franciscus M. Vos |
| 2011 | MICCAI | Orientation Histograms as Shape Priors for Left Ventricle Segmentation Using Graph Cuts. | Dwarikanath Mahapatra, Ying Sun |
| 2010 | ICIP | An MRF framework for joint registration and segmentation of natural and perfusion images. | Dwarikanath Mahapatra, Ying Sun |
| 2010 | MICCAI | Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs. | Dwarikanath Mahapatra, Ying Sun |
| 2008 | MICCAI | Nonrigid Registration of Dynamic Renal MR Images Using a Saliency Based MRF Model. | Dwarikanath Mahapatra, Ying Sun |