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ORCIDDwarikanath Mahapatra
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2020 – today
- 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) - [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 - [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
- [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) - [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 - [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] - [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
- [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) - [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 - [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] - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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 - [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
- [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) - [c36]