Sanjay P. Prabhu

Orcid: 0000-0003-0871-115X

According to our database1, Sanjay P. Prabhu authored at least 16 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024

2020
Learning to Detect Brain Lesions from Noisy Annotations.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.
IEEE Access, 2019

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation.
CoRR, 2018

Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks.
CoRR, 2018

2017
Decoupling Axial and Radial Tissue Heterogeneity in Diffusion Compartment Imaging.
Proceedings of the Information Processing in Medical Imaging, 2017

2015
Accelerated High Spatial Resolution Diffusion-Weighted Imaging.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Electrode localization for planning surgical resection of the epileptogenic zone in pediatric epilepsy.
Int. J. Comput. Assist. Radiol. Surg., 2014

A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with Diffusion-Weighted Imaging (DIAMOND).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Automated delineation of white matter fiber tracts with a multiple region-of-interest approach.
NeuroImage, 2012

Interpolating multi-fiber models by Gaussian mixture simplification.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Automated detection of white matter fiber bundles.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010


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