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The role of MRI physics in brain segmentation CNNs: achieving
  acquisition invariance and instructive uncertainties

The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties

4 November 2021
Pedro Borges
Richard Shaw
Thomas Varsavsky
Kerstin Kläser
David Thomas
I. Drobnjak
Sebastien Ourselin
M. Jorge Cardoso
    OOD
ArXivPDFHTML

Papers citing "The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties"

2 / 2 papers shown
Title
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
138
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
9,138
0
06 Jun 2015
1