Motion saliency outweighs other low-level features while watching videos. - Dwarikanath Mahapatra; Stefan Winkler 001; Shih-Cheng Yen (Human Vision and Electronic Imaging, 2008)

Illumination invariant tracking in office environments using neurobiology-saliency based particle filter. - Dwarikanath Mahapatra; Mukesh Kumar Saini; Ying Sun 001 (ICME, 2008)

Registration of dynamic renal MR images using neurobiological model of saliency. - Dwarikanath Mahapatra; Ying Sun 001 (ISBI, 2008)

Nonrigid Registration of Dynamic Renal MR Images Using a Saliency Based MRF Model. - Dwarikanath Mahapatra; Ying Sun 001 (MICCAI (1), 2008)

MRF based joint registration and segmentation of dynamic renal MR images. - Dwarikanath Mahapatra; Ying Sun 001 (ICDIP, 2010)

An MRF framework for joint registration and segmentation of natural and perfusion images. - Dwarikanath Mahapatra; Ying Sun 001 (ICIP, 2010)

Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs. - Dwarikanath Mahapatra; Ying Sun 001 (MICCAI (1), 2010)

Rigid Registration of Renal Perfusion Images Using a Neurobiology-Based Visual Saliency Model. - Dwarikanath Mahapatra; Ying Sun 001 (EURASIP J. Image Video Process., 2010)

Orientation Histograms as Shape Priors for Left Ventricle Segmentation Using Graph Cuts. - Dwarikanath Mahapatra; Ying Sun 001 (MICCAI (3), 2011)

MRF-Based Intensity Invariant Elastic Registration of Cardiac Perfusion Images Using Saliency Information. - Dwarikanath Mahapatra; Ying Sun 001 (IEEE Trans. Biomed. Eng., 2011)

Computational modeling for assessment of IBD: To be or not to be? - Franciscus M. Vos; Jeroen A. W. Tielbeek; Robiel E. Naziroglu; Zhang Li; Peter Schueffler; Dwarikanath Mahapatra; Alexander Wiebel; Cristina Lavini; Joachim M. Buhmann; Hans-Christian Hege; Jaap Stoker; Lucas J. van Vliet (EMBC, 2012)

Landmark Detection in Cardiac MRI Using Learned Local Image Statistics. - Dwarikanath Mahapatra (STACOM, 2012)

Cardiac LV and RV Segmentation Using Mutual Context Information. - Dwarikanath Mahapatra; Joachim M. Buhmann (MLMI, 2012)

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 (Abdominal Imaging, 2012)

Groupwise registration of dynamic cardiac perfusion images using temporal dynamics and segmentation information. - Dwarikanath Mahapatra (Image Processing, 2012)

Skull Stripping of Neonatal Brain MRI: Using Prior Shape Information with Graph Cuts. - Dwarikanath Mahapatra (J. Digit. Imaging, 2012)

Integrating Segmentation Information for Improved MRF-Based Elastic Image Registration. - Dwarikanath Mahapatra; Ying Sun 001 (IEEE Trans. Image Process., 2012)

A Particle Filter Framework for Object Tracking Using Visual-Saliency Information. - Dwarikanath Mahapatra; Mukesh Saini (Intelligent Multimedia Surveillance, 2013)

Graph cut based automatic prostate segmentation using learned semantic information. - Dwarikanath Mahapatra (ISBI, 2013)

Automatic cardiac RV segmentation using semantic information with graph cuts. - Dwarikanath Mahapatra; Joachim M. Buhmann (ISBI, 2013)

Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts. - Dwarikanath Mahapatra; Peter J. Schüffler; Jeroen A. W. Tielbeek; Franciscus M. Vos; Joachim M. Buhmann (ISBI, 2013)

Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI. - Dwarikanath Mahapatra; Alexander Vezhnevets; Peter J. Schüffler; Jeroen A. W. Tielbeek; Franciscus M. Vos; Joachim M. Buhmann (ISBI, 2013)

Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease. - Dwarikanath Mahapatra; Peter J. Schüffler; Jeroen A. W. Tielbeek; Franciscus M. Vos; Joachim M. Buhmann (MICCAI (2), 2013)

A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images. - Peter J. Schüffler; Dwarikanath Mahapatra; Jeroen A. W. Tielbeek; Franciscus M. Vos; Jesica Makanyanga; Doug Pendsé; C. Yung Nio; Jaap Stoker; Stuart A. Taylor; Joachim M. Buhmann (Abdominal Imaging, 2013)

Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features. - Dwarikanath Mahapatra; Peter J. Schüffler; Jeroen A. W. Tielbeek; Franciscus M. Vos; Joachim M. Buhmann (Image Processing, 2013)

Joint Segmentation and Groupwise Registration of Cardiac Perfusion Images Using Temporal Information. - Dwarikanath Mahapatra (J. Digit. Imaging, 2013)

Cardiac Image Segmentation from Cine Cardiac MRI Using Graph Cuts and Shape Priors. - Dwarikanath Mahapatra (J. Digit. Imaging, 2013)

Cardiac MRI Segmentation Using Mutual Context Information from Left and Right Ventricle. - Dwarikanath Mahapatra (J. Digit. Imaging, 2013)

A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure. - Dwarikanath Mahapatra; Peter Schueffler; Jeroen A. W. Tielbeek; Joachim M. Buhmann; Franciscus M. Vos (J. Digit. Imaging, 2013)

Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI. - Dwarikanath Mahapatra; Peter J. Schüffler; Jeroen A. W. Tielbeek; Jesica Makanyanga; Jaap Stoker; Stuart A. Taylor; Franciscus M. Vos; Joachim M. Buhmann (IEEE Trans. Medical Imaging, 2013)

Active learning based segmentation of Crohn's disease using principles of visual saliency. - Dwarikanath Mahapatra; Peter J. Schüffler; Jeroen A. W. Tielbeek; Jesica Makanyanga; Jaap Stoker; Stuart A. Taylor; Franciscus M. Vos; Joachim M. Buhmann (ISBI, 2014)

Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation. - Dwarikanath Mahapatra; Peter J. Schüffler; 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 (ABDI@MICCAI, 2014)

Semi-automatic Crohn's Disease Severity Estimation on MR Imaging. - Peter J. Schüffler; Dwarikanath Mahapatra; Robiel Naziroglu; Zhang Li; Carl A. J. Puylaert; Rado Andriantsimiavona; Franciscus M. Vos; Doug A. Pendsé; C. Yung Nio; Jaap Stoker; Stuart A. Taylor; Joachim M. Buhmann (ABDI@MICCAI, 2014)

A Real-Time Smart Assistant for Video Surveillance Through Handheld Devices. - Hao Kuang; Benjamin Guthier; Mukesh Kumar Saini; Dwarikanath Mahapatra; Abdulmotaleb El-Saddik (ACM Multimedia, 2014)

Automatic Cardiac Segmentation Using Semantic Information from Random Forests. - Dwarikanath Mahapatra (J. Digit. Imaging, 2014)

Coherency Based Spatio-Temporal Saliency Detection for Video Object Segmentation. - Dwarikanath Mahapatra; Syed Omer Gilani; Mukesh Kumar Saini (IEEE J. Sel. Top. Signal Process., 2014)

Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts. - Dwarikanath Mahapatra; Joachim M. Buhmann (IEEE Trans. Biomed. Eng., 2014)

Analyzing Training Information From Random Forests for Improved Image Segmentation. - Dwarikanath Mahapatra (IEEE Trans. Image Process., 2014)

A field of experts model for optic cup and disc segmentation from retinal fundus images. - Dwarikanath Mahapatra; Joachim M. Buhmann (ISBI, 2015)

Joint segmentation and groupwise registration of cardiac DCE MRI using sparse data representations. - Dwarikanath Mahapatra; Zhang Li; Frans Vos; Joachim M. Buhmann (ISBI, 2015)

Crohn's disease segmentation from MRI using learned image priors. - Dwarikanath Mahapatra; Peter J. Schüffler; Frans Vos; Joachim M. Buhmann (ISBI, 2015)

Visual Saliency Based Active Learning for Prostate MRI Segmentation. - Dwarikanath Mahapatra; Joachim M. Buhmann (MLMI, 2015)

Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. - Julian G. Zilly; Joachim M. Buhmann; Dwarikanath Mahapatra (MLMI, 2015)

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 (DICTA, 2016)

A CNN based neurobiology inspired approach for retinal image quality assessment. - Dwarikanath Mahapatra; Pallab Kanti Roy; Suman Sedai; Rahil Garnavi (EMBC, 2016)

Segmentation of optic disc and optic cup in retinal fundus images using shape regression. - Suman Sedai; Pallab Kanti Roy; Dwarikanath Mahapatra; Rahil Garnavi (EMBC, 2016)

Retinal Image Quality Classification Using Saliency Maps and CNNs. - Dwarikanath Mahapatra; Pallab Kanti Roy; Suman Sedai; Rahil Garnavi (MLMI@MICCAI, 2016)

Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals. - Dwarikanath Mahapatra; Krishna Agarwal; Reza Khosrowabadi; Dilip K. Prasad (Comput. Math. Methods Medicine, 2016)

Active learning based segmentation of Crohns disease from abdominal MRI. - Dwarikanath Mahapatra; Franciscus M. Vos; Joachim M. Buhmann (Comput. Methods Programs Biomed., 2016)

Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts. - Dwarikanath Mahapatra (CoRR, 2016)

Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation. - Dwarikanath Mahapatra (Comput. Vis. Image Underst., 2016)

Image Registration Based on Autocorrelation of Local Structure. - Zhang Li; Dwarikanath Mahapatra; Jeroen A. W. Tielbeek; Jaap Stoker; Lucas J. van Vliet; Frans M. Vos (IEEE Trans. Medical Imaging, 2016)

A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. - Pallab Kanti Roy; Ruwan B. Tennakoon; Khoa Cao; Suman Sedai; Dwarikanath Mahapatra; Stefan Maetschke; Rahil Garnavi (ISBI, 2017)

Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Sajini Hewavitharanage; Rahil Garnavi (MICCAI (3), 2017)

Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder. - Suman Sedai; Dwarikanath Mahapatra; Sajini Hewavitharanage; Stefan Maetschke; Rahil Garnavi (MICCAI (2), 2017)

Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation. - Julian G. Zilly; Joachim M. Buhmann; Dwarikanath Mahapatra (Comput. Medical Imaging Graph., 2017)

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution. - Dwarikanath Mahapatra; Behzad Bozorgtabar (CoRR, 2017)

Semi-supervised learning and graph cuts for consensus based medical image segmentation. - Dwarikanath Mahapatra (Pattern Recognit., 2017)

Deformable medical image registration using generative adversarial networks. - Dwarikanath Mahapatra; Bhavna Josephine Antony; Suman Sedai; Rahil Garnavi (ISBI, 2018)

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 001 (MICCAI (2), 2018)

Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks. - Dwarikanath Mahapatra; Zongyuan Ge; Suman Sedai; Rajib Chakravorty (MLMI@MICCAI, 2018)

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 (COMPAY/OMIA@MICCAI, 2018)

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 (MLMI@MICCAI, 2018)

Elastic Registration of Medical Images With GANs. - Dwarikanath Mahapatra; Suman Sedai; Rahil Garnavi (CoRR, 2018)

Chest X-rays Classification: A Multi-Label and Fine-Grained Problem. - Zongyuan Ge; Dwarikanath Mahapatra; Suman Sedai; Rahil Garnavi; Rajib Chakravorty (CoRR, 2018)

SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. - Behzad Bozorgtabar; Mohammad Saeed Rad; Dwarikanath Mahapatra; Jean-Philippe Thiran (ICCV, 2019)

Low Dose Abdominal CT Image Reconstruction: An Unsupervised Learning Based Approach. - Shiba Kuanar; Vassilis Athitsos; Dwarikanath Mahapatra; K. R. Rao 001; Zahid Akhtar; Dipankar Dasgupta (ICIP, 2019)

Training Data Independent Image Registration with Gans Using Transfer Learning and Segmentation Information. - Dwarikanath Mahapatra; Zongyuan Ge (ISBI, 2019)

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 (MICCAI (6), 2019)

Image super-resolution using progressive generative adversarial networks for medical image analysis. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Rahil Garnavi (Comput. Medical Imaging Graph., 2019)

Night Time Haze and Glow Removal using Deep Dilated Convolutional Network. - Shiba Kuanar; K. R. Rao 001; Dwarikanath Mahapatra; Monalisa Bilas (CoRR, 2019)

Progressive Generative Adversarial Networks for Medical Image Super resolution. - Dwarikanath Mahapatra; Behzad Bozorgtabar (CoRR, 2019)

Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration. - Dwarikanath Mahapatra; Zongyuan Ge (CoRR, 2019)

AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering. - Dwarikanath Mahapatra (CoRR, 2019)

sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos. - Mukesh Saini; Benjamin Guthier; Hao Kuang; Dwarikanath Mahapatra; Abdulmotaleb El-Saddik (CoRR, 2019)

Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration. - Dwarikanath Mahapatra (CoRR, 2019)

Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Hendrik von Teng; Alexander Pollinger; Lukas Ebner; Jean-Philippe Thiran; Mauricio Reyes 001 (Comput. Vis. Image Underst., 2019)

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Ling Shao 001 (CVPR, 2020)

SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Guillaume Vray; Jean-Philippe Thiran (MICCAI (1), 2020)

Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Jean-Philippe Thiran; Ling Shao 001 (MICCAI (5), 2020)

Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps. - James Tong; Dwarikanath Mahapatra; C. Paul Bonnington; Tom Drummond; Zongyuan Ge (DART/DCL@MICCAI, 2020)

Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Jean-Philippe Thiran; Ling Shao 001 (CoRR, 2020)

Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps. - Dwarikanath Mahapatra (CoRR, 2020)

Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Guillaume Vray; Jean-Philippe Thiran (CoRR, 2020)

Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. - Zongyuan Ge; Dwarikanath Mahapatra; Xiaojun Chang; Zetao Chen; Lianhua Chi; Huimin Lu 001 (Multim. Tools Appl., 2020)

ExprADA: Adversarial domain adaptation for facial expression analysis. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Jean-Philippe Thiran (Pattern Recognit., 2020)

Training data independent image registration using generative adversarial networks and domain adaptation. - Dwarikanath Mahapatra; Zongyuan Ge (Pattern Recognit., 2020)

SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types. - Behzad Bozorgtabar; Guillaume Vray; Dwarikanath Mahapatra; Jean-Philippe Thiran (ICCVW, 2021)

Medical Image Classification Using Generalized Zero Shot Learning. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Zongyuan Ge (ICCVW, 2021)

Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. - Lie Ju; Xin Wang 094; Lin Wang 027; Tongliang Liu; Xin Zhao; Tom Drummond; Dwarikanath Mahapatra; Zongyuan Ge (MICCAI (8), 2021)

Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Shiba Kuanar; Zongyuan Ge (DART/FAIR@MICCAI, 2021)

Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. - Dwarikanath Mahapatra; Shiba Kuanar; Behzad Bozorgtabar; Zongyuan Ge (DART/FAIR@MICCAI, 2021)

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 (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. - Shikhar Srivastava 001; Mohammad Yaqub; Karthik Nandakumar; Zongyuan Ge; Dwarikanath Mahapatra (DART/FAIR@MICCAI, 2021)

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. - Lie Ju; Xin Wang 094; Lin Wang 027; Dwarikanath Mahapatra; Xin Zhao; Mehrtash Harandi; Tom Drummond; Tongliang Liu; Zongyuan Ge (CoRR, 2021)

Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation. - Dwarikanath Mahapatra (CoRR, 2021)

Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image. - Shiba Kuanar; Vassilis Athitsos; Dwarikanath Mahapatra; Anand Rajan (CoRR, 2021)

CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis. - Dwarikanath Mahapatra; Ankur Singh (CoRR, 2021)

Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation. - Dwarikanath Mahapatra (CoRR, 2021)

Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning. - Dwarikanath Mahapatra (CoRR, 2021)

Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning. - Lie Ju; Xin Wang 094; Xin Zhao; Huimin Lu 001; Dwarikanath Mahapatra; C. Paul Bonnington; Zongyuan Ge (IEEE J. Biomed. Health Informatics, 2021)

Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation. - Dwarikanath Mahapatra; Alexander Pollinger; Ling Shao 001; Mauricio Reyes 001 (IEEE Trans. Medical Imaging, 2021)

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. - Ruchika Verma; Neeraj Kumar 002; Abhijeet Patil; Nikhil Cherian Kurian; Swapnil Rane; Simon Graham; Quoc Dang Vu; Mieke Zwager; Shan-E-Ahmed Raza; Nasir M. Rajpoot; Xiyi Wu; Huai Chen; et al. (IEEE Trans. Medical Imaging, 2021)

Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Jean-Philippe Thiran (BMVC, 2022)

Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Mauricio Reyes 001 (ECCV Workshops (7), 2022)

Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification. - Dwarikanath Mahapatra; Steven Korevaar; Behzad Bozorgtabar; Ruwan B. Tennakoon (ECCV Workshops (7), 2022)

Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification. - Dwarikanath Mahapatra; Mauricio Reyes 001 (ECCV Workshops (7), 2022)

Real-Time Image Based Plant Phenotyping Using Tiny-YOLOv4. - Sonal Jain; Dwarikanath Mahapatra; Mukesh Saini (ICHI, 2022)

Anomaly Detection In Retinal Images Using Multi-Scale Deep Feature Sparse Coding. - Sourya Dipta Das; Saikat Dutta 002; Nisarg A. Shah; Dwarikanath Mahapatra; Zongyuan Ge (ISBI, 2022)

Medical VQA: MixUp Helps Keeping it Simple. - Jitender Singh Virk; Dwarikanath Mahapatra; Deepti R. Bathula (IVCNZ, 2022)

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 (MICCAI (2), 2022)

Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation. - Litao Yang; Deval Mehta; Dwarikanath Mahapatra; Zongyuan Ge (MOVI@MICCAI, 2022)

MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers. - Dwarikanath Mahapatra; Zongyuan Ge (MIDL, 2022)

Outlier-Based Autism Detection Using Longitudinal Structural MRI. - Devika Kuttala; Dwarikanath Mahapatra; Ramanathan Subramanian; Venkata Ramana Murthy Oruganti (IEEE Access, 2022)

Generalized Zero Shot Learning For Medical Image Classification. - Dwarikanath Mahapatra (CoRR, 2022)

Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification. - Dwarikanath Mahapatra (CoRR, 2022)

Improved Super Resolution of MR Images Using CNNs and Vision Transformers. - Dwarikanath Mahapatra (CoRR, 2022)

Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis. - Dwarikanath Mahapatra (CoRR, 2022)

Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image. - Dwarikanath Mahapatra; Alexander Poellinger; Mauricio Reyes 001 (Medical Image Anal., 2022)

Gated fusion network for SAO filter and inter frame prediction in Versatile Video Coding. - Shiba Kuanar; Vassilis Athitsos; Dwarikanath Mahapatra; K. R. Rao 001 (Signal Process. Image Commun., 2022)

Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation. - Lie Ju; Xin Wang 094; Lin Wang 027; Dwarikanath Mahapatra; Xin Zhao; Quan Zhou 004; Tongliang Liu; Zongyuan Ge (IEEE Trans. Medical Imaging, 2022)

Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps. - Dwarikanath Mahapatra; Zongyuan Ge; Mauricio Reyes 001 (IEEE Trans. Medical Imaging, 2022)

Multi-path dilated convolution network for haze and glow removal in nighttime images. - Shiba Kuanar; Dwarikanath Mahapatra; Monalisa Bilas; K. R. Rao 001 (Vis. Comput., 2022)

Dense attentive GAN-based one-class model for detection of autism and ADHD. - Devika Kuttala; Dwarikanath Mahapatra; Ramanathan Subramanian; Venkata Ramana Murthy Oruganti (J. King Saud Univ. Comput. Inf. Sci., 2022)

Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. - Behzad Bozorgtabar; Dwarikanath Mahapatra (AAAI, 2023)

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 (CVPR, 2023)

AW-Net: A Novel Fully Connected Attention-based Medical Image Segmentation Model. - Debojyoti Pal; Tanushree Meena; Dwarikanath Mahapatra; Sudipta Roy 002 (ICCV (Workshops), 2023)

AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. - Behzad Bozorgtabar; Dwarikanath Mahapatra; Jean-Philippe Thiran (MICCAI (1), 2023)

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. - Dwarikanath Mahapatra; Antonio José Jimeno-Yepes; Shiba Kuanar; Sudipta Roy 002; Behzad Bozorgtabar; Mauricio Reyes 001; Zongyuan Ge (MICCAI (2), 2023)

EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. - Siyuan Yan; Chi Liu 002; Zhen Yu; Lie Ju; Dwarikanath Mahapatra; Victoria Mar; Monika Janda; H. Peter Soyer; Zongyuan Ge (MICCAI (7), 2023)

Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. - Litao Yang; Deval Mehta; Sidong Liu; Dwarikanath Mahapatra; Antonio Di Ieva; Zongyuan Ge (MIDL, 2023)

Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. - Tom van Sonsbeek; Xiantong Zhen; Dwarikanath Mahapatra; Marcel Worring (WACV, 2023)

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. - Litao Yang; Deval Mehta; Sidong Liu; Dwarikanath Mahapatra; Antonio Di Ieva; Zongyuan Ge (CoRR, 2023)

Graph Node Based Interpretability Guided Sample Selection for Active Learning. - Dwarikanath Mahapatra; Alexander Poellinger; Mauricio Reyes 001 (IEEE Trans. Medical Imaging, 2023)

Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Zongyuan Ge; Mauricio Reyes 001; Jean-Philippe Thiran (AAAI, 2024)

InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation. - Ankan Deria; Komal Kumar; Snehashis Chakraborty; Dwarikanath Mahapatra; Sudipta Roy 002 (CVPR Workshops, 2024)

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 002 (ICPR (12), 2024)

Envisioning Medclip: A Deep Dive into Explainability for Medical Vision-Language Models. - Anees Ur Rehman Hashmi; Dwarikanath Mahapatra; Mohammad Yaqub (ISBI, 2024)

Domain Generalization by Learning from Privileged Medical Imaging Information. - Steven Korevaar; Ruwan B. Tennakoon; Ricky O'Brien; Dwarikanath Mahapatra; Alireza Bab-Hadiashar (ISBI, 2024)

SAC UW-Net: A self-attention-based network for multimodal medical image segmentation. - Debojyoti Pal; Tanushree Meena; Dwarikanath Mahapatra; Sudipta Roy 002 (ISBI, 2024)

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 002 (MICCAI (1), 2024)

INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models. - Shelley Zixin Shu; Aurélie Pahud de Mortanges; Alexander Poellinger; Dwarikanath Mahapatra; Mauricio Reyes 001 (UNSURE@MICCAI, 2024)

XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model. - Anees Ur Rehman Hashmi; Ibrahim Almakky; Mohammad Areeb Qazi; Santosh Sanjeev; Vijay Ram Papineni; Dwarikanath Mahapatra; Mohammad Yaqub (CoRR, 2024)

Characterizing Continual Learning Scenarios and Strategies for Audio Analysis. - Ruchi Bhatt; Pratibha Kumari 001; Dwarikanath Mahapatra; Abdulmotaleb El-Saddik; Mukesh Saini (CoRR, 2024)

MedUnA: Language guided Unsupervised Adaptation of Vision-Language Models for Medical Image Classification. - Umaima Rahman; Raza Imam; Dwarikanath Mahapatra; Boulbaba Ben Amor (CoRR, 2024)

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Zongyuan Ge; Mauricio Reyes 001 (Medical Image Anal., 2024)

ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. - Dwarikanath Mahapatra; Ruwan B. Tennakoon; Yasmeen George; Sudipta Roy 002; Behzad Bozorgtabar; Zongyuan Ge; Mauricio Reyes 001 (Medical Image Anal., 2024)

Can Language-Guided Unsupervised Adaptation Improve Medical Image Classification Using Unpaired Images and Texts? - Umaima Rahman; Raza Imam; Mohammad Yaqub; Boulbaba Ben Amor; Dwarikanath Mahapatra (ISBI, 2025)

Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in Histopathology. - Devavrat Tomar; Guillaume Vray; Dwarikanath Mahapatra; Sudipta Roy 002; Jean-Philippe Thiran; Behzad Bozorgtabar (ISBI, 2025)

Self-Supervised Anomaly Segmentation via Diffusion Models with Dynamic Transformer UNet. - Komal Kumar; Snehashis Chakraborty; Dwarikanath Mahapatra; Behzad Bozorgtabar; Sudipta Roy 002 (WACV, 2025)

Robust semantic learning for precise medical image segmentation. - Snehashis Chakraborty; Komal Kumar; Ankan Deria; Dwarikanath Mahapatra; Behzad Bozorgtabar; Sudipta Roy 002 (Biomed. Signal Process. Control., 2025)

Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement. - Dwarikanath Mahapatra; Antonio Jimeno-Yepes; Behzad Bozorgtabar; Sudipta Roy 002; Zongyuan Ge; Mauricio Reyes 001 (IEEE Trans. Medical Imaging, 2025)

Prompt-Driven Latent Domain Generalization for Medical Image Classification. - Siyuan Yan; Zhen Yu; Chi Liu 002; Lie Ju; Dwarikanath Mahapatra; Brigid Betz-Stablein; Victoria Mar; Monika Janda; H. Peter Soyer; Zongyuan Ge (IEEE Trans. Medical Imaging, 2025)

Gene42: Long-Range Genomic Foundation Model With Dense Attention. - Kirill Vishniakov; Boulbaba Ben Amor; Engin Tekin; Nancy A. ElNaker; Karthik Viswanathan; Aleksandr Medvedev; Aahan Singh; Maryam Nadeem; Mohammad Amaan Sayeed; Praveen K. Kanithi; Tiago Magalhaes; Natalia Vassilieva; et al. (CoRR, 2025)

Right Prediction, Wrong Reasoning: Uncovering LLM Misalignment in RA Disease Diagnosis. - Umakanta Maharana; Sarthak Verma; Avarna Agarwal; Prakashini Mruthyunjaya; Dwarikanath Mahapatra; Sakir Ahmed; Murari Mandal (CoRR, 2025)

Corrections to "Multi-Label Generalized Zero Shot Chest X-Ray Classification By Combining Image-Text Information With Feature Disentanglement". - Dwarikanath Mahapatra; Antonio Jimeno-Yepes; Behzad Bozorgtabar; Sudipta Roy 002; Zongyuan Ge; Mauricio Reyes 001 (IEEE Trans. Medical Imaging, 2025)

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. - Mouad Abrini; Omri Abend; Dina M. Acklin; Henny Admoni; Gregor Aichinger; Nitay Alon; Zahra Ashktorab; Ashish Atreja; Moises Auron; Alexander Aufreiter; Raghav Awasthi; Soumya Banerjee; et al. (CoRR, 2025)

DiMPLe - Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation. - Umaima Rahman; Mohammad Yaqub; Dwarikanath Mahapatra (CoRR, 2025)

MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization. - Ankan Deria; Dwarikanath Mahapatra; Behzad Bozorgtabar; Mohna Chakraborty; Snehashis Chakraborty; Sudipta Roy 002 (CoRR, 2025)