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Few-shot brain segmentation from weakly labeled data with deep
  heteroscedastic multi-task networks

Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks

4 April 2019
Richard McKinley
Michael Rebsamen
Raphael Meier
M. Reyes
C. Rummel
Roland Wiest
ArXivPDFHTML

Papers citing "Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks"

10 / 10 papers shown
Title
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis
  Lesion Detection and Segmentation
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
T. Nair
Doina Precup
Douglas L. Arnold
Tal Arbel
UQCV
58
445
0
03 Aug 2018
Aleatoric uncertainty estimation with test-time augmentation for medical
  image segmentation with convolutional neural networks
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
Guotai Wang
Wenqi Li
Michael Aertsen
Jan Deprest
Sebastien Ourselin
Tom Vercauteren
UQCV
MedIm
OOD
143
591
0
19 Jul 2018
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image
  Segmentation Pipelines
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines
Martin Rajchl
Nick Pawlowski
Daniel Rueckert
Paul M. Matthews
Ben Glocker
SSeg
46
35
0
11 Jun 2018
Uncertainty-driven Sanity Check: Application to Postoperative Brain
  Tumor Cavity Segmentation
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation
Alain Jungo
Raphael Meier
E. Ermiş
Evelyn Herrmann
M. Reyes
UQCV
95
47
0
08 Jun 2018
On the Effect of Inter-observer Variability for a Reliable Estimation of
  Uncertainty of Medical Image Segmentation
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation
Alain Jungo
Raphael Meier
E. Ermiş
Marcela Blatti-Moreno
Evelyn Herrmann
Roland Wiest
M. Reyes
UQCV
52
97
0
07 Jun 2018
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte
  Carlo Sampling
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
UQCV
41
87
0
19 Apr 2018
QuickNAT: A Fully Convolutional Network for Quick and Accurate
  Segmentation of Neuroanatomy
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
Abhijit Guha Roy
Sailesh Conjeti
Nassir Navab
Christian Wachinger
79
226
0
12 Jan 2018
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
344
4,700
0
15 Mar 2017
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
288
8,091
0
13 Aug 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
809
27,303
0
02 Dec 2015
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