Dwarikanath Mahapatra
Dwarikanath Mahapatra
Senior Scientist, Inception Institute of AI (IIAI), UAE
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
Prostate MRI Segmentation Using Learned Semantic Knowledge And Graph Cuts
D Mahapatra
IEEE Transactions on Biomedical Engineering 61 (3), 756-764, 2014
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 85, 102762, 2023
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
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV
AF Frangi, JA Schnabel, C Davatzikos, C Alberola-López, G Fichtinger
Springer, 2018
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
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
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
Analyzing Training Information From Random Forests For Improved Image Segmentation
D Mahapatra
Transactions on Image Processing 23 (4), 1504-1512, 2014
Integrating segmentation information for improved MRF-based elastic image registration
D Mahapatra, Y Sun
IEEE Transactions on Image Processing 21 (1), 170-183, 2011
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
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
Dynamic context-sensitive filtering network for video salient object detection
M Zhang, J Liu, Y Wang, Y Piao, S Yao, W Ji, J Li, H Lu, Z Luo
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
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