Dwarikanath Mahapatra
Orcid: 0000-0001-9749-7858
According to our database1,
Dwarikanath Mahapatra
authored at least 138 papers
between 2008 and 2024.
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Bibliography
2024
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models.
CoRR, 2024
XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model.
CoRR, 2024
CoRR, 2024
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Medical Imaging, March, 2023
CoRR, 2023
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Imaging with Deep Learning, 2023
EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Multi-path dilated convolution network for haze and glow removal in nighttime images.
Vis. Comput., 2022
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps.
IEEE Trans. Medical Imaging, 2022
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.
IEEE Trans. Medical Imaging, 2022
Gated fusion network for SAO filter and inter frame prediction in Versatile Video Coding.
Signal Process. Image Commun., 2022
Medical Image Anal., 2022
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis.
CoRR, 2022
CoRR, 2022
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification.
CoRR, 2022
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Image and Vision Computing - 37th International Conference, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Intelligent Human Computer Interaction, 2022
Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
IEEE Trans. Medical Imaging, 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation.
IEEE Trans. Medical Imaging, 2021
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning.
IEEE J. Biomed. Health Informatics, 2021
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning.
CoRR, 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation.
CoRR, 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis.
CoRR, 2021
Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image.
CoRR, 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation.
CoRR, 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation.
CoRR, 2021
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
This Explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Training data independent image registration using generative adversarial networks and domain adaptation.
Pattern Recognit., 2020
Pattern Recognit., 2020
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies.
Multim. Tools Appl., 2020
Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps.
CoRR, 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation.
CoRR, 2020
Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays.
Comput. Vis. Image Underst., 2019
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration.
CoRR, 2019
CoRR, 2019
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering.
CoRR, 2019
Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Image super-resolution using progressive generative adversarial networks for medical image analysis.
Comput. Medical Imaging Graph., 2019
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Training Data Independent Image Registration with Gans Using Transfer Learning and Segmentation Information.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Semi-supervised learning and graph cuts for consensus based medical image segmentation.
Pattern Recognit., 2017
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution.
CoRR, 2017
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation.
Comput. Medical Imaging Graph., 2017
Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
IEEE Trans. Medical Imaging, 2016
Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation.
Comput. Vis. Image Underst., 2016
Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts.
CoRR, 2016
Comput. Methods Programs Biomed., 2016
Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals.
Comput. Math. Methods Medicine, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Segmentation of optic disc and optic cup in retinal fundus images using shape regression.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
2015
Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Joint segmentation and groupwise registration of cardiac DCE MRI using sparse data representations.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
A field of experts model for optic cup and disc segmentation from retinal fundus images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
IEEE Trans. Image Process., 2014
IEEE Trans. Biomed. Eng., 2014
IEEE J. Sel. Top. Signal Process., 2014
J. Digit. Imaging, 2014
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014
Active learning based segmentation of Crohn's disease using principles of visual saliency.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
IEEE Trans. Medical Imaging, 2013
A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure.
J. Digit. Imaging, 2013
Cardiac MRI Segmentation Using Mutual Context Information from Left and Right Ventricle.
J. Digit. Imaging, 2013
J. Digit. Imaging, 2013
Joint Segmentation and Groupwise Registration of Cardiac Perfusion Images Using Temporal Information.
J. Digit. Imaging, 2013
Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the Intelligent Multimedia Surveillance - Current Trends and Research, 2013
2012
Integrating Segmentation Information for Improved MRF-Based Elastic Image Registration.
IEEE Trans. Image Process., 2012
Skull Stripping of Neonatal Brain MRI: Using Prior Shape Information with Graph Cuts.
J. Digit. Imaging, 2012
Groupwise registration of dynamic cardiac perfusion images using temporal dynamics and segmentation information.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
MRF-Based Intensity Invariant Elastic Registration of Cardiac Perfusion Images Using Saliency Information.
IEEE Trans. Biomed. Eng., 2011
Orientation Histograms as Shape Priors for Left Ventricle Segmentation Using Graph Cuts.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Rigid Registration of Renal Perfusion Images Using a Neurobiology-Based Visual Saliency Model.
EURASIP J. Image Video Process., 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
An MRF framework for joint registration and segmentation of natural and perfusion images.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the Second International Conference on Digital Image Processing, 2010
2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Illumination invariant tracking in office environments using neurobiology-saliency based particle filter.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Proceedings of the Human Vision and Electronic Imaging XIII, 2008