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PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation
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PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation

Amod Jog
Andrew Hoopes
Douglas N. Greve
Koen van Leemput
Bruce Fischl
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Papers citing "PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation"

5 / 5 papers shown
Title
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
Ken C. L. Wong
Mehdi Moradi
Hui Tang
Tanveer Syeda-Mahmood
3DVSSeg
82
192
0
31 Aug 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
166
3,558
0
24 Nov 2017
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
Carole H Sudre
Wenqi Li
Tom Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
SSeg
143
2,153
0
11 Jul 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Wenqi Li
Guotai Wang
Lucas Fidon
Sebastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
3DV
111
340
0
06 Jul 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
380
332
0
27 Feb 2017