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Dwarikanath Mahapatra
Dwarikanath Mahapatra
Senior Scientist, Inception Institute of AI (IIAI), UAE
Verified email at inceptioniai.org - Homepage
Title
Cited by
Cited by
Year
Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation
J Zilly, JM Buhmann, D Mahapatra
Computerized Medical Imaging and Graphics 55, 28-41, 2017
3872017
Transformers in medical imaging: A survey
F Shamshad, S Khan, SW Zamir, MH Khan, M Hayat, FS Khan, H Fu
Medical Image Analysis, 102802, 2023
3332023
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III
N Navab, J Hornegger, WM Wells, A Frangi
Springer, 2015
3132015
Image super-resolution using progressive generative adversarial networks for medical image analysis
D Mahapatra, B Bozorgtabar, R Garnavi
Computerized Medical Imaging and Graphics 71, 30-39, 2019
2252019
Deformable medical image registration using generative adversarial networks
D Mahapatra, B Antony, S Sedai, R Garnavi
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
1812018
Efficient active learning for image classification and segmentation using a sample selection and conditional generative adversarial network
D Mahapatra, B Bozorgtabar, JP Thiran, M Reyes
International Conference on Medical Image Computing and Computer-Assisted …, 2018
1772018
Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma
N Thakur, M Juneja
Biomedical Signal Processing and Control 42, 162-189, 2018
1312018
Prostate MRI Segmentation Using Learned Semantic Knowledge And Graph Cuts
D Mahapatra
IEEE Transactions on Biomedical Engineering 61 (3), 756-764, 2014
1242014
Unsupervised medical image translation with adversarial diffusion models
M Özbey, O Dalmaz, SUH Dar, HA Bedel, Ş Özturk, A Güngör, T Çukur
IEEE Transactions on Medical Imaging, 2023
1082023
Image super resolution using generative adversarial networks and local saliency maps for retinal image analysis
D Mahapatra, B Bozorgtabar, S Hewavitharanage, R Garnavi
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
1052017
Analyzing Training Information From Random Forests For Improved Image Segmentation
D Mahapatra
Transactions on Image Processing 23 (4), 1504-1512, 2014
1052014
Image registration based on autocorrelation of local structure
Z Li, D Mahapatra, JAW Tielbeek, J Stoker, LJ van Vliet, FM Vos
IEEE transactions on medical imaging 35 (1), 63-75, 2015
1032015
Integrating segmentation information for improved MRF-based elastic image registration
D Mahapatra, Y Sun
IEEE Transactions on Image Processing 21 (1), 170-183, 2011
1032011
Automatic Detection and Segmentation of Crohn's Disease Tissues from Abdominal MRI
D Mahapatra, PJ Schüffler, JAW Tielbeek, JC Makanyanga, J Stoker, ...
IEEE Transactions on Medical Imaging 32 (12), 2332-2348, 2013
1012013
MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021
982021
Boosting convolutional filters with entropy sampling for optic cup and disc image segmentation from fundus images
JG Zilly, JM Buhmann, D Mahapatra
Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015 …, 2015
972015
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
J Li, J Chen, Y Tang, C Wang, BA Landman, SK Zhou
Medical image analysis, 102762, 2023
932023
A new approach for brain tumor diagnosis system: single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network
E Sert, F Özyurt, A Doğantekin
Medical hypotheses 133, 109413, 2019
902019
Unsupervised misaligned infrared and visible image fusion via cross-modality image generation and registration
D Wang, J Liu, X Fan, R Liu
arXiv preprint arXiv:2205.11876, 2022
882022
Semi-supervised segmentation of optic cup in retinal fundus images using variational autoencoder
S Sedai, D Mahapatra, S Hewavitharanage, S Maetschke, R Garnavi
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
802017
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