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Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New
  Lesions Segmentation Challenge

Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge

12 September 2021
U. Macar
E. Karthik
C. Gros
A. Lemay
Julien Cohen-Adad
ArXivPDFHTML

Papers citing "Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge"

3 / 3 papers shown
Title
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis
  Lesion Segmentation
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation
Yicheng Wu
Zhonghua Wu
Hengcan Shi
Bjoern Picker
W. Chong
Jianfei Cai
OOD
32
5
0
10 Jul 2023
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
144
427
0
09 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1