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Raghav Mehta
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M-net: A convolutional neural network for deep brain structure segmentation
R Mehta, J Sivaswamy
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
1262017
BrainSegNet: a convolutional neural network architecture for automated segmentation of human brain structures
R Mehta, A Majumdar, J Sivaswamy
Journal of Medical Imaging 4 (2), 024003, 2017
692017
3D U-Net for Brain Tumour Segmentation
R Mehta, T Arbel
International MICCAI Brainlesion Workshop, 254-266, 2018
242018
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours
R Mehta, T Arbel
International Workshop on Simulation and Synthesis in Medical Imaging, 119-129, 2018
202018
Construction of Indian Human Brain Atlas
J Sivaswamy, AJ Thottupattu, R Mehta, R Sheelakumari, C Kesavadas
Neurology India 67 (1), 229, 2019
182019
Uncertainty Evaluation Metric for Brain Tumour Segmentation
R Mehta, A Filos, Y Gal, T Arbel
arXiv preprint arXiv:2005.14262, 2020
162020
Propagating uncertainty across cascaded medical imaging tasks for improved deep learning inference
R Mehta, T Christinck, T Nair, P Lemaitre, D Arnold, T Arbel
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and …, 2019
112019
Propagating uncertainty across cascaded medical imaging tasks for improved deep learning inference
R Mehta, T Christinck, T Nair, A Bussy, S Premasiri, M Costantino, ...
IEEE Transactions on Medical Imaging, 2021
92021
Improving pathological structure segmentation via transfer learning across diseases
B Kaur, P Lemaître, R Mehta, NM Sepahvand, D Precup, D Arnold, ...
Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019
92019
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Scores and Benchmarking Results
R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ...
Journal of Machine Learning for Biomedical Imaging (MELBA). 2022:026, 2022
7*2022
Had-net: A hierarchical adversarial knowledge distillation network for improved enhanced tumour segmentation without post-contrast images
S Vadacchino, R Mehta, NM Sepahvand, B Nichyporuk, JJ Clark, T Arbel
Medical Imaging with Deep Learning, 787-801, 2021
62021
Population specific template construction and brain structure segmentation using deep learning methods
R Mehta
International Institute of Information Technology Hyderabad, 2017
32017
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
B Nichyporuk, J Cardinell, J Szeto, R Mehta, S Tsaftaris, DL Arnold, ...
Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021
22021
To Learn or Not to Learn Features for Deformable Registration?
A Majumdar, R Mehta, J Sivaswamy
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
12018
A hybrid approach to tissue-based intensity standardization of brain MRI images
R Mehta, J Sivaswamy
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 95-98, 2016
12016
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation
B Nichyporuk, J Cardinell, J Szeto, R Mehta, JPR Falet, DL Arnold, ...
arXiv preprint arXiv:2210.17398, 2022
2022
Information Gain Sampling for Active Learning in Medical Image Classification
R Mehta, C Shui, B Nichyporuk, T Arbel
International Workshop on Uncertainty for Safe Utilization of Machine …, 2022
2022
Sub-cortical structure segmentation database for young population
J Sivaswamy, AJ Thottupattu, V Mythri, R Mehta, R Sheelakumari, ...
arXiv preprint arXiv:2111.01561, 2021
2021
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