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Mihir Sahasrabudhe
Mihir Sahasrabudhe
Dirección de correo verificada de centralesupelec.fr - Página principal
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Deforming autoencoders: Unsupervised disentangling of shape and appearance
Z Shu, M Sahasrabudhe, RA Guler, D Samaras, N Paragios, I Kokkinos
Proceedings of the European conference on computer vision (ECCV), 650-665, 2018
2142018
Linear and deformable image registration with 3d convolutional neural networks
C Stergios, S Mihir, V Maria, C Guillaume, R Marie-Pierre, M Stavroula, ...
Image Analysis for Moving Organ, Breast, and Thoracic Images: Third …, 2018
592018
Self-supervised nuclei segmentation in histopathological images using attention
M Sahasrabudhe, S Christodoulidis, R Salgado, S Michiels, S Loi, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
502020
Deep learning-based concurrent brain registration and tumor segmentation
T Estienne, M Lerousseau, M Vakalopoulou, E Alvarez Andres, ...
Frontiers in computational neuroscience 14, 17, 2020
492020
Lifting autoencoders: Unsupervised learning of a fully-disentangled 3d morphable model using deep non-rigid structure from motion
M Sahasrabudhe, Z Shu, E Bartrum, R Alp Guler, D Samaras, I Kokkinos
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
422019
Elastic registration–driven deep learning for longitudinal assessment of systemic sclerosis interstitial lung disease at CT
G Chassagnon, M Vakalopoulou, A Régent, M Sahasrabudhe, R Marini, ...
Radiology 298 (1), 189-198, 2021
322021
Fingerprint enhancement using unsupervised hierarchical feature learning
M Sahasrabudhe, AM Namboodiri
Proceedings of the 2014 indian conference on computer vision graphics and …, 2014
302014
Learning fingerprint orientation fields using continuous restricted Boltzmann machines
M Sahasrabudhe, AM Namboodiri
2013 2nd IAPR Asian Conference on Pattern Recognition, 351-355, 2013
212013
Image registration of satellite imagery with deep convolutional neural networks
M Vakalopoulou, S Christodoulidis, M Sahasrabudhe, S Mougiakakou, ...
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
182019
Deep neural network automated segmentation of cellular structures in volume electron microscopy
B Gallusser, G Maltese, G Di Caprio, TJ Vadakkan, A Sanyal, ...
Journal of Cell Biology 222 (2), e202208005, 2022
112022
Deep multi-instance learning using multi-modal data for diagnosis of lymphocytosis
M Sahasrabudhe, P Sujobert, EI Zacharaki, E Maurin, B Grange, ...
IEEE Journal of Biomedical and Health Informatics 25 (6), 2125-2136, 2020
112020
Sherene Loi, Fabrice André, Nikos Paragios, and Maria Vakalopoulou. Self-supervised nuclei segmentation in histopathological images using attention
M Sahasrabudhe, S Christodoulidis, R Salgado, S Michiels
International Conference on Medical Image Computing and Computer-Assisted …, 2020
92020
Fingerprint Image Enhancement Using Unsupervised Hierarchical Feature Learning
M Sahasrabudhe
International Institute of Information Technology Hyderabad, 2015
62015
Deep learning for image matching and Co‐registration
M Vakalopoulou, S Christodoulidis, M Sahasrabudhe, N Paragios
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
22021
Unsupervised and weakly supervised deep learning methods for computer vision and medical imaging
M Sahasrabudhe
Université Paris-Saclay, 2020
12020
Deep Learning for the Earth Sciences
M Vakalopoulou, S Christodoulidis, M Sahasrabudhe, N Paragios
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021
2021
Abstract PS5-13: Holistic artificial intelligence-driven predictor in HER2-positive (HER2+) early breast cancer (BC) treated with neoadjuvant lapatinib and trastuzumab without …
E Batistella, L Paré, M Sahasrabudhe, T Pascual, M Vakalopoulou, ...
Cancer Research 81 (4_Supplement), PS5-13-PS5-13, 2021
2021
Holistic artificial intelligence-driven predictor in HER2-positive (HER2+) early breast cancer (BC) treated with neoadjuvant lapatinib and trastuzumab without chemotherapy: A …
E Batistella, L Pare, M Sahasrabudhe, T Pascual, M Vakalopoulou, ...
CANCER RESEARCH 81 (4), 2021
2021
Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm
M Sahasrabudhe, S Chandra
arXiv preprint arXiv:1908.01662, 2019
2019
Fingerprint Enhancement Using Unsupervised Hierarchical Feature Learning Thesis Synopsis
M Sahasrabudhe
2014
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20