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Journal Articles
- 2024
[j37]Dwarikanath Mahapatra
, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes:
GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical Image Anal. 93: 103075 (2024)- [j36]Dwarikanath Mahapatra, Ruwan B. Tennakoon, Yasmeen George, Sudipta Roy, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes:
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Anal. 97: 103261 (2024) - 2023
- [j35]Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes:
Graph Node Based Interpretability Guided Sample Selection for Active Learning. IEEE Trans. Medical Imaging 42(3): 661-673 (2023) - 2022
- [j34]Devika Kuttala, Dwarikanath Mahapatra, Ramanathan Subramanian, Venkata Ramana Murthy Oruganti:
Outlier-Based Autism Detection Using Longitudinal Structural MRI. IEEE Access 10: 27794-27808 (2022) - [j33]Devika Kuttala, Dwarikanath Mahapatra, Ramanathan Subramanian, Venkata Ramana Murthy Oruganti:
Dense attentive GAN-based one-class model for detection of autism and ADHD. J. King Saud Univ. Comput. Inf. Sci. 34(10, Part B): 10444-10458 (2022) - [j32]Dwarikanath Mahapatra, Alexander Poellinger, Mauricio Reyes:
Interpretability-Guided Inductive Bias For Deep Learning Based Medical Image. Medical Image Anal. 81: 102551 (2022) - [j31]Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, K. R. Rao:
Gated fusion network for SAO filter and inter frame prediction in Versatile Video Coding. Signal Process. Image Commun. 109: 116839 (2022) - [j30]Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Quan Zhou, Tongliang Liu, Zongyuan Ge:
Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation. IEEE Trans. Medical Imaging 41(6): 1533-1546 (2022) - [j29]Dwarikanath Mahapatra, Zongyuan Ge, Mauricio Reyes:
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps. IEEE Trans. Medical Imaging 41(9): 2443-2456 (2022) - [j28]Shiba Kuanar, Dwarikanath Mahapatra, Monalisa Bilas, K. R. Rao:
Multi-path dilated convolution network for haze and glow removal in nighttime images. Vis. Comput. 38(3): 1121-1134 (2022) - 2021
- [j27]Lie Ju, Xin Wang, Xin Zhao, Huimin Lu, Dwarikanath Mahapatra, C. Paul Bonnington, Zongyuan Ge:
Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning. IEEE J. Biomed. Health Informatics 25(10): 3709-3720 (2021) - [j26]Dwarikanath Mahapatra, Alexander Pollinger, Ling Shao, Mauricio Reyes:
Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation. IEEE Trans. Medical Imaging 40(10): 2548-2562 (2021) - [j25]Ruchika Verma, Neeraj Kumar, 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, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - 2020
- [j24]Zongyuan Ge, Dwarikanath Mahapatra, Xiaojun Chang, Zetao Chen, Lianhua Chi, Huimin Lu:
Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies. Multim. Tools Appl. 79(21-22): 14889-14902 (2020) - [j23]Dwarikanath Mahapatra, Zongyuan Ge:
Training data independent image registration using generative adversarial networks and domain adaptation. Pattern Recognit. 100: 107109 (2020) - [j22]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
ExprADA: Adversarial domain adaptation for facial expression analysis. Pattern Recognit. 100: 107111 (2020) - 2019
- [j21]Dwarikanath Mahapatra, Behzad Bozorgtabar, Rahil Garnavi:
Image super-resolution using progressive generative adversarial networks for medical image analysis. Comput. Medical Imaging Graph. 71: 30-39 (2019) - [j20]Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. Comput. Vis. Image Underst. 184: 57-65 (2019) - 2017
- [j19]Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra:
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation. Comput. Medical Imaging Graph. 55: 28-41 (2017) - [j18]Dwarikanath Mahapatra:
Semi-supervised learning and graph cuts for consensus based medical image segmentation. Pattern Recognit. 63: 700-709 (2017) - 2016
- [j17]Dwarikanath Mahapatra, Krishna Agarwal, Reza Khosrowabadi, Dilip K. Prasad:
Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals. Comput. Math. Methods Medicine 2016: 1643687:1 (2016) - [j16]Dwarikanath Mahapatra, Franciscus M. Vos, Joachim M. Buhmann:
Active learning based segmentation of Crohns disease from abdominal MRI. Comput. Methods Programs Biomed. 128: 75-85 (2016) - [j15]Dwarikanath Mahapatra:
Combining multiple expert annotations using semi-supervised learning and graph cuts for medical image segmentation. Comput. Vis. Image Underst. 151: 114-123 (2016) - [j14]Zhang Li, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Jaap Stoker, Lucas J. van Vliet, Frans M. Vos:
Image Registration Based on Autocorrelation of Local Structure. IEEE Trans. Medical Imaging 35(1): 63-75 (2016) - 2014
- [j13]Dwarikanath Mahapatra:
Automatic Cardiac Segmentation Using Semantic Information from Random Forests. J. Digit. Imaging 27(6): 794-804 (2014) - [j12]Dwarikanath Mahapatra, Syed Omer Gilani, Mukesh Kumar Saini:
Coherency Based Spatio-Temporal Saliency Detection for Video Object Segmentation. IEEE J. Sel. Top. Signal Process. 8(3): 454-462 (2014) - [j11]Dwarikanath Mahapatra, Joachim M. Buhmann:
Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts. IEEE Trans. Biomed. Eng. 61(3): 756-764 (2014) - [j10]Dwarikanath Mahapatra:
Analyzing Training Information From Random Forests for Improved Image Segmentation. IEEE Trans. Image Process. 23(4): 1504-1512 (2014) - 2013
- [j9]Dwarikanath Mahapatra:
Joint Segmentation and Groupwise Registration of Cardiac Perfusion Images Using Temporal Information. J. Digit. Imaging 26(2): 173-182 (2013) - [j8]Dwarikanath Mahapatra:
Cardiac Image Segmentation from Cine Cardiac MRI Using Graph Cuts and Shape Priors. J. Digit. Imaging 26(4): 721-730 (2013) - [j7]Dwarikanath Mahapatra:
Cardiac MRI Segmentation Using Mutual Context Information from Left and Right Ventricle. J. Digit. Imaging 26(5): 898-908 (2013) - [j6]Dwarikanath Mahapatra, Peter Schueffler, Jeroen A. W. Tielbeek, Joachim M. Buhmann, Franciscus M. Vos:
A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure. J. Digit. Imaging 26(5): 920-931 (2013) - [j5]Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Jesica Makanyanga, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann:
Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI. IEEE Trans. Medical Imaging 32(12): 2332-2347 (2013) - 2012
- [j4]Dwarikanath Mahapatra:
Skull Stripping of Neonatal Brain MRI: Using Prior Shape Information with Graph Cuts. J. Digit. Imaging 25(6): 802-814 (2012) - [j3]Dwarikanath Mahapatra, Ying Sun:
Integrating Segmentation Information for Improved MRF-Based Elastic Image Registration. IEEE Trans. Image Process. 21(1): 170-183 (2012) - 2011
- [j2]Dwarikanath Mahapatra, Ying Sun:
MRF-Based Intensity Invariant Elastic Registration of Cardiac Perfusion Images Using Saliency Information. IEEE Trans. Biomed. Eng. 58(4): 991-1000 (2011) - 2010
- [j1]Dwarikanath Mahapatra, Ying Sun:
Rigid Registration of Renal Perfusion Images Using a Neurobiology-Based Visual Saliency Model. EURASIP J. Image Video Process. 2010 (2010)
Conference and Workshop Papers
- 2024
- [c81]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran:
Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification. AAAI 2024: 21378-21386 - [c80]Ankan Deria, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy:
InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation. CVPR Workshops 2024: 2028-2038 - [c79]Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad Yaqub:
Envisioning Medclip: A Deep Dive into Explainability for Medical Vision-Language Models. ISBI 2024: 1-5 - [c78]Steven Korevaar, Ruwan B. Tennakoon, Ricky O'Brien, Dwarikanath Mahapatra, Alireza Bab-Hadiashar:
Domain Generalization by Learning from Privileged Medical Imaging Information. ISBI 2024: 1-5 - [c77]Debojyoti Pal, Tanushree Meena, Dwarikanath Mahapatra, Sudipta Roy:
SAC UW-Net: A self-attention-based network for multimodal medical image segmentation. ISBI 2024: 1-5 - [c76]Shelley Zixin Shu, Aurélie Pahud de Mortanges, Alexander Poellinger, Dwarikanath Mahapatra, Mauricio Reyes:
INFORMER- Interpretability Founded Monitoring of Medical Image Deep Learning Models. UNSURE@MICCAI 2024: 215-224 - [c75]Abhijit Das, Vandan Gorade, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy:
Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images. MICCAI (1) 2024: 242-252 - 2023
- [c74]Behzad Bozorgtabar, Dwarikanath Mahapatra:
Attention-Conditioned Augmentations for Self-Supervised Anomaly Detection and Localization. AAAI 2023: 14720-14728 - [c73]Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge:
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. CVPR 2023: 11568-11577 - [c72]Debojyoti Pal, Tanushree Meena, Dwarikanath Mahapatra, Sudipta Roy:
AW-Net: A Novel Fully Connected Attention-based Medical Image Segmentation Model. ICCV (Workshops) 2023: 2524-2533 - [c71]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. MICCAI (1) 2023: 195-205 - [c70]Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge:
EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition. MICCAI (7) 2023: 249-259 - [c69]Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge:
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. MICCAI (2) 2023: 276-286 - [c68]Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. MIDL 2023: 1655-1665 - [c67]Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring:
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. WACV 2023: 3619-3629 - 2022
- [c66]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
Anomaly Detection and Localization Using Attention-Guided Synthetic Anomaly and Test-Time Adaptation. BMVC 2022: 472 - [c65]Dwarikanath Mahapatra, Behzad Bozorgtabar, Mauricio Reyes:
Medical Image Super Resolution by Preserving Interpretable and Disentangled Features. ECCV Workshops (7) 2022: 709-721 - [c64]Dwarikanath Mahapatra, Mauricio Reyes:
Multi-label Attention Map Assisted Deep Feature Learning for Medical Image Classification. ECCV Workshops (7) 2022: 722-734 - [c63]Dwarikanath Mahapatra, Steven Korevaar, Behzad Bozorgtabar, Ruwan B. Tennakoon:
Unsupervised Domain Adaptation Using Feature Disentanglement and GCNs for Medical Image Classification. ECCV Workshops (7) 2022: 735-748 - [c62]Sonal Jain, Dwarikanath Mahapatra, Mukesh Saini:
Real-Time Image Based Plant Phenotyping Using Tiny-YOLOv4. ICHI 2022: 271-283 - [c61]Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge:
Anomaly Detection In Retinal Images Using Multi-Scale Deep Feature Sparse Coding. ISBI 2022: 1-5 - [c60]Jitender Singh Virk, Dwarikanath Mahapatra, Deepti R. Bathula:
Medical VQA: MixUp Helps Keeping it Simple. IVCNZ 2022: 402-414 - [c59]Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge:
Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation. MOVI@MICCAI 2022: 63-72 - [c58]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. MICCAI (2) 2022: 314-324 - [c57]Dwarikanath Mahapatra, Zongyuan Ge:
MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers. MIDL 2022: 858-878 - 2021
- [c56]Behzad Bozorgtabar, Guillaume Vray, Dwarikanath Mahapatra, Jean-Philippe Thiran:
SOoD: Self-Supervised Out-of-Distribution Detection Under Domain Shift for Multi-Class Colorectal Cancer Tissue Types. ICCVW 2021: 3317-3326 - [c55]Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge:
Medical Image Classification Using Generalized Zero Shot Learning. ICCVW 2021: 3337-3346 - [c54]Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge:
Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition. MICCAI (8) 2021: 3-12 - [c53]Abhineet Pandey, Bhawna Paliwal, Abhinav Dhall, Ramanathan Subramanian, Dwarikanath Mahapatra:
This Explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks. iMIMIC/TDA4MedicalData@MICCAI 2021: 34-43 - [c52]Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge:
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. DART/FAIR@MICCAI 2021: 46-56 - [c51]Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge:
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. DART/FAIR@MICCAI 2021: 57-67 - [c50]Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra:
Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings. DART/FAIR@MICCAI 2021: 226-238 - 2020
- [c49]Dwarikanath Mahapatra, Behzad Bozorgtabar, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CVPR 2020: 9608-9617 - [c48]James Tong, Dwarikanath Mahapatra, C. Paul Bonnington, Tom Drummond, Zongyuan Ge:
Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps. DART/DCL@MICCAI 2020: 41-51 - [c47]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance. MICCAI (5) 2020: 309-319 - [c46]Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran:
SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays. MICCAI (1) 2020: 468-478 - 2019
- [c45]Behzad Bozorgtabar, Mohammad Saeed Rad, Dwarikanath Mahapatra, Jean-Philippe Thiran:
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion. ICCV 2019: 4209-4218 - [c44]Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, K. R. Rao, Zahid Akhtar, Dipankar Dasgupta:
Low Dose Abdominal CT Image Reconstruction: An Unsupervised Learning Based Approach. ICIP 2019: 1351-1355 - [c43]Dwarikanath Mahapatra, Zongyuan Ge:
Training Data Independent Image Registration with Gans Using Transfer Learning and Segmentation Information. ISBI 2019: 709-713 - [c42]Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond:
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation. MICCAI (6) 2019: 757-765 - 2018
- [c41]Dwarikanath Mahapatra, Bhavna Josephine Antony, Suman Sedai, Rahil Garnavi:
Deformable medical image registration using generative adversarial networks. ISBI 2018: 1449-1453 - [c40]Dwarikanath Mahapatra, Zongyuan Ge, Suman Sedai, Rajib Chakravorty:
Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks. MLMI@MICCAI 2018: 73-80 - [c39]Suman Sedai, Bhavna Josephine Antony, Dwarikanath Mahapatra, Rahil Garnavi:
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning. COMPAY/OMIA@MICCAI 2018: 219-227 - [c38]Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images. MLMI@MICCAI 2018: 267-275 - [c37]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes:
Efficient Active Learning for Image Classification and Segmentation Using a Sample Selection and Conditional Generative Adversarial Network. MICCAI (2) 2018: 580-588 - 2017
- [c36]Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi:
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. ISBI 2017: 1078-1082 - [c35]Suman Sedai, Dwarikanath Mahapatra, Sajini Hewavitharanage, Stefan Maetschke, Rahil Garnavi:
Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder. MICCAI (2) 2017: 75-82 - [c34]Dwarikanath Mahapatra, Behzad Bozorgtabar, Sajini Hewavitharanage, Rahil Garnavi:
Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis. MICCAI (3) 2017: 382-390 - 2016
- [c33]Pallab Kanti Roy, Rajib Chakravorty, Suman Sedai, Dwarikanath Mahapatra, Rahil Garnavi:
Automatic Eye Type Detection in Retinal Fundus Image Using Fusion of Transfer Learning and Anatomical Features. DICTA 2016: 1-7 - [c32]Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi:
A CNN based neurobiology inspired approach for retinal image quality assessment. EMBC 2016: 1304-1307 - [c31]Suman Sedai, Pallab Kanti Roy, Dwarikanath Mahapatra, Rahil Garnavi:
Segmentation of optic disc and optic cup in retinal fundus images using shape regression. EMBC 2016: 3260-3264 - [c30]Dwarikanath Mahapatra, Pallab Kanti Roy, Suman Sedai, Rahil Garnavi:
Retinal Image Quality Classification Using Saliency Maps and CNNs. MLMI@MICCAI 2016: 172-179 - 2015
- [c29]Dwarikanath Mahapatra, Joachim M. Buhmann:
A field of experts model for optic cup and disc segmentation from retinal fundus images. ISBI 2015: 218-221 - [c28]Dwarikanath Mahapatra, Peter J. Schüffler, Frans Vos, Joachim M. Buhmann:
Crohn's disease segmentation from MRI using learned image priors. ISBI 2015: 625-628 - [c27]Dwarikanath Mahapatra, Zhang Li, Frans Vos, Joachim M. Buhmann:
Joint segmentation and groupwise registration of cardiac DCE MRI using sparse data representations. ISBI 2015: 1312-1315 - [c26]Dwarikanath Mahapatra, Joachim M. Buhmann:
Visual Saliency Based Active Learning for Prostate MRI Segmentation. MLMI 2015: 9-16 - [c25]Julian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra:
Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images. MLMI 2015: 136-143 - 2014
- [c24]Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Jesica Makanyanga, Jaap Stoker, Stuart A. Taylor, Franciscus M. Vos, Joachim M. Buhmann:
Active learning based segmentation of Crohn's disease using principles of visual saliency. ISBI 2014: 226-229 - [c23]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:
Semi-automatic Crohn's Disease Severity Estimation on MR Imaging. ABDI@MICCAI 2014: 128-138 - [c22]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:
Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation. ABDI@MICCAI 2014: 139-147 - [c21]Hao Kuang, Benjamin Guthier, Mukesh Kumar Saini, Dwarikanath Mahapatra, Abdulmotaleb El-Saddik:
A Real-Time Smart Assistant for Video Surveillance Through Handheld Devices. ACM Multimedia 2014: 917-920 - 2013
- [c20]Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann:
Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts. ISBI 2013: 358-361 - [c19]Dwarikanath Mahapatra, Alexander Vezhnevets, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann:
Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI. ISBI 2013: 844-847 - [c18]Dwarikanath Mahapatra, Joachim M. Buhmann:
Automatic cardiac RV segmentation using semantic information with graph cuts. ISBI 2013: 1106-1109 - [c17]Dwarikanath Mahapatra:
Graph cut based automatic prostate segmentation using learned semantic information. ISBI 2013: 1316-1319 - [c16]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:
A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images. Abdominal Imaging 2013: 1-10 - [c15]Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann:
Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease. MICCAI (2) 2013: 214-221 - [c14]Dwarikanath Mahapatra, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann:
Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features. Medical Imaging: Image Processing 2013: 86693K - 2012
- [c13]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:
Computational modeling for assessment of IBD: To be or not to be? EMBC 2012: 3974-3977 - [c12]Dwarikanath Mahapatra, Peter Schueffler, Jeroen A. W. Tielbeek, Joachim M. Buhmann, Franciscus M. Vos:
A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes. Abdominal Imaging 2012: 97-106 - [c11]Dwarikanath Mahapatra:
Landmark Detection in Cardiac MRI Using Learned Local Image Statistics. STACOM 2012: 115-124 - [c10]Dwarikanath Mahapatra, Joachim M. Buhmann:
Cardiac LV and RV Segmentation Using Mutual Context Information. MLMI 2012: 201-209 - [c9]Dwarikanath Mahapatra:
Groupwise registration of dynamic cardiac perfusion images using temporal dynamics and segmentation information. Medical Imaging: Image Processing 2012: 83141X - 2011
- [c8]Dwarikanath Mahapatra, Ying Sun:
Orientation Histograms as Shape Priors for Left Ventricle Segmentation Using Graph Cuts. MICCAI (3) 2011: 420-427 - 2010
- [c7]Dwarikanath Mahapatra, Ying Sun:
MRF based joint registration and segmentation of dynamic renal MR images. ICDIP 2010: 754617 - [c6]Dwarikanath Mahapatra, Ying Sun:
An MRF framework for joint registration and segmentation of natural and perfusion images. ICIP 2010: 1709-1712 - [c5]Dwarikanath Mahapatra, Ying Sun:
Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs. MICCAI (1) 2010: 493-501 - 2008
- [c4]Dwarikanath Mahapatra, Stefan Winkler, Shih-Cheng Yen:
Motion saliency outweighs other low-level features while watching videos. Human Vision and Electronic Imaging 2008: 68060P - [c3]Dwarikanath Mahapatra, Mukesh Kumar Saini, Ying Sun:
Illumination invariant tracking in office environments using neurobiology-saliency based particle filter. ICME 2008: 953-956 - [c2]Dwarikanath Mahapatra, Ying Sun:
Registration of dynamic renal MR images using neurobiological model of saliency. ISBI 2008: 1119-1122 - [c1]Dwarikanath Mahapatra, Ying Sun:
Nonrigid Registration of Dynamic Renal MR Images Using a Saliency Based MRF Model. MICCAI (1) 2008: 771-779
Parts in Books or Collections
- 2013
- [p1]Dwarikanath Mahapatra, Mukesh Saini:
A Particle Filter Framework for Object Tracking Using Visual-Saliency Information. Intelligent Multimedia Surveillance 2013: 133-147
Editorship
- 2023
- [e2]Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - 2022
- [e1]Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu:
Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13543, Springer 2022, ISBN 978-3-031-16875-8 [contents]
Informal and Other Publications
- 2024
- [i44]Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Brigid Betz-Stablein, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge:
Prompt-driven Latent Domain Generalization for Medical Image Classification. CoRR abs/2401.03002 (2024) - [i43]Anees Ur Rehman Hashmi, Ibrahim Almakky, Mohammad Areeb Qazi, Santosh Sanjeev, Vijay Ram Papineni, Dwarikanath Mahapatra, Mohammad Yaqub:
XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model. CoRR abs/2403.09240 (2024) - [i42]Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad Yaqub:
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models. CoRR abs/2403.18996 (2024) - [i41]Ruchi Bhatt, Pratibha Kumari, Dwarikanath Mahapatra, Abdulmotaleb El-Saddik, Mukesh Saini:
Characterizing Continual Learning Scenarios and Strategies for Audio Analysis. CoRR abs/2407.00465 (2024) - [i40]Umaima Rahman, Raza Imam, Dwarikanath Mahapatra, Boulbaba Ben Amor:
MedUnA: Language guided Unsupervised Adaptation of Vision-Language Models for Medical Image Classification. CoRR abs/2409.02729 (2024) - 2023
- [i39]Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge:
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision. CoRR abs/2303.00885 (2023) - [i38]Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2305.00696 (2023) - [i37]Behzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran:
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays. CoRR abs/2307.12721 (2023) - [i36]Steven Korevaar, Ruwan B. Tennakoon, Ricky O'Brien, Dwarikanath Mahapatra, Alireza Bab-Hadiashar:
Domain Generalization by Learning from Privileged Medical Imaging Information. CoRR abs/2311.05861 (2023) - 2022
- [i35]Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge:
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding. CoRR abs/2201.11506 (2022) - [i34]Devika Kuttala, Venkata Ramana Murthy Oruganti, Dwarikanath Mahapatra, Ramanathan Subramanian:
Outlier-based Autism Detection using Longitudinal Structural MRI. CoRR abs/2202.09988 (2022) - [i33]Dwarikanath Mahapatra:
Generalized Zero Shot Learning For Medical Image Classification. CoRR abs/2204.01728 (2022) - [i32]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. CoRR abs/2204.05737 (2022) - [i31]Dwarikanath Mahapatra:
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification. CoRR abs/2206.13123 (2022) - [i30]Dwarikanath Mahapatra:
Improved Super Resolution of MR Images Using CNNs and Vision Transformers. CoRR abs/2207.11748 (2022) - [i29]Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge:
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation. CoRR abs/2208.08331 (2022) - [i28]Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring:
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. CoRR abs/2210.06980 (2022) - [i27]Dwarikanath Mahapatra:
Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis. CoRR abs/2211.08424 (2022) - 2021
- [i26]Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge:
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation. CoRR abs/2103.00528 (2021) - [i25]Dwarikanath Mahapatra:
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation. CoRR abs/2104.06087 (2021) - [i24]Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge:
Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition. CoRR abs/2104.11057 (2021) - [i23]Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, Anand Rajan:
Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image. CoRR abs/2104.13557 (2021) - [i22]Dwarikanath Mahapatra, Ankur Singh:
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis. CoRR abs/2106.10230 (2021) - [i21]Dwarikanath Mahapatra:
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation. CoRR abs/2110.00404 (2021) - [i20]Dwarikanath Mahapatra:
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning. CoRR abs/2111.07646 (2021) - 2020
- [i19]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation. CoRR abs/2003.14119 (2020) - [i18]Dwarikanath Mahapatra:
Registration of Histopathogy Images Using Structural Information From Fine Grained Feature Maps. CoRR abs/2007.02078 (2020) - [i17]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Ling Shao:
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance. CoRR abs/2008.02101 (2020) - [i16]Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, Jean-Philippe Thiran:
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning. CoRR abs/2010.09856 (2020) - 2019
- [i15]Shiba Kuanar, K. R. Rao, Dwarikanath Mahapatra, Monalisa Bilas:
Night Time Haze and Glow Removal using Deep Dilated Convolutional Network. CoRR abs/1902.00855 (2019) - [i14]Dwarikanath Mahapatra, Behzad Bozorgtabar:
Progressive Generative Adversarial Networks for Medical Image Super resolution. CoRR abs/1902.02144 (2019) - [i13]Dwarikanath Mahapatra, Zongyuan Ge:
Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration. CoRR abs/1903.10139 (2019) - [i12]Behzad Bozorgtabar, Dwarikanath Mahapatra, Hendrik von Teng, Alexander Pollinger, Lukas Ebner, Jean-Philippe Thiran, Mauricio Reyes:
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays. CoRR abs/1904.10781 (2019) - [i11]Dwarikanath Mahapatra:
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering. CoRR abs/1907.03075 (2019) - [i10]Mukesh Saini, Benjamin Guthier, Hao Kuang, Dwarikanath Mahapatra, Abdulmotaleb El-Saddik:
sZoom: A Framework for Automatic Zoom into High Resolution Surveillance Videos. CoRR abs/1909.10164 (2019) - [i9]Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond:
Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation. CoRR abs/1910.04961 (2019) - [i8]Dwarikanath Mahapatra:
Generative Adversarial Networks And Domain Adaptation For Training Data Independent Image Registration. CoRR abs/1910.08593 (2019) - 2018
- [i7]Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi:
Elastic Registration of Medical Images With GANs. CoRR abs/1805.02369 (2018) - [i6]Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, Mauricio Reyes:
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network. CoRR abs/1806.05473 (2018) - [i5]Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi, Rajib Chakravorty:
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem. CoRR abs/1807.07247 (2018) - [i4]Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi:
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images. CoRR abs/1808.08280 (2018) - [i3]Suman Sedai, Bhavna Josephine Antony, Dwarikanath Mahapatra, Rahil Garnavi:
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning. CoRR abs/1809.04282 (2018) - 2017
- [i2]Dwarikanath Mahapatra, Behzad Bozorgtabar:
Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution. CoRR abs/1710.04783 (2017) - 2016
- [i1]Dwarikanath Mahapatra:
Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts. CoRR abs/1612.02166 (2016)
Coauthor Index
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