Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans. - Ali Gholipour; Judy A. Estroff; Mustafa Sahin; Sanjay P. Prabhu; Simon K. Warfield (MICCAI (2), 2010)

Automated detection of white matter fiber bundles. - Ralph O. Suarez; Olivier Commowick; Xavier Tomas-Fernandez; Sanjay P. Prabhu; Simon K. Warfield (ISBI, 2011)

Interpolating multi-fiber models by Gaussian mixture simplification. - Maxime Taquet; Benoit Scherrer; Christopher Benjamin; Sanjay P. Prabhu; Benoît Macq; Simon K. Warfield (ISBI, 2012)

Automated delineation of white matter fiber tracts with a multiple region-of-interest approach. - Ralph O. Suarez; Olivier Commowick; Sanjay P. Prabhu; Simon K. Warfield (NeuroImage, 2012)

Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with Diffusion-Weighted Imaging (DIAMOND). - Benoit Scherrer; Armin Schwartzman; Maxime Taquet; Sanjay P. Prabhu; Mustafa Sahin; Alireza Akhondi Asl; Simon K. Warfield (MICCAI (3), 2013)

A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure. - Maxime Taquet; Benoît Scherrer; Jurriaan M. Peters; Sanjay P. Prabhu; Simon K. Warfield (MICCAI (1), 2014)

Electrode localization for planning surgical resection of the epileptogenic zone in pediatric epilepsy. - Vahid Taimouri; Alireza Akhondi Asl; Xavier Tomas-Fernandez; Jurriaan M. Peters; Sanjay P. Prabhu; Annapurna Poduri; Masanori Takeoka; Tobias Loddenkemper; Ann Marie R. Bergin; Chellamani Harini; Joseph R. Madsen; Simon K. Warfield (Int. J. Comput. Assist. Radiol. Surg., 2014)

Accelerated High Spatial Resolution Diffusion-Weighted Imaging. - Benoit Scherrer; Onur Afacan; Maxime Taquet; Sanjay P. Prabhu; Ali Gholipour; Simon K. Warfield (IPMI, 2015)

Decoupling Axial and Radial Tissue Heterogeneity in Diffusion Compartment Imaging. - Benoit Scherrer; Maxime Taquet; Armin Schwartzman; Etienne St-Onge; Gaëtan Rensonnet; Sanjay P. Prabhu; Simon K. Warfield (IPMI, 2017)

Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. - Seyed Raein Hashemi; Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (CoRR, 2018)

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation. - Seyed Raein Hashemi; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (CoRR, 2018)

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation. - Seyed Raein Hashemi; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (MIDL, 2019)

Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. - Seyed Raein Hashemi; Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (IEEE Access, 2019)

Learning to Detect Brain Lesions from Noisy Annotations. - Davood Karimi; Jurriaan M. Peters; Abdelhakim Ouaalam; Sanjay P. Prabhu; Mustafa Sahin; Darcy A. Krueger; Alexander Kolevzon; Charis Eng; Simon K. Warfield; Ali Gholipour (ISBI, 2020)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)