Title
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 60 121 0 24 Nov 2018
Variational Bayesian dropout: pitfalls and fixes Jiri Hron A. G. Matthews Zoubin Ghahramani BDL 71 67 0 05 Jul 2018
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines Martin Rajchl Nick Pawlowski Daniel Rueckert Paul M. Matthews Ben Glocker SSeg 48 35 0 11 Jun 2018
Distributed Weight Consolidation: A Brain Segmentation Case Study Patrick McClure C. Zheng Jakub R. Kaczmarzyk John Rogers-Lee Satrajit S. Ghosh D. Nielson P. Bandettini Francisco Pereira 52 28 0 28 May 2018
Almost instant brain atlas segmentation for large-scale studies A. Fedorov Eswar Damaraju Vince D. Calhoun Sergey Plis 47 13 0 01 Nov 2017
Variational Continual Learning Cuong V Nguyen Yingzhen Li T. Bui Richard Turner CLL VLM BDL 89 733 0 29 Oct 2017
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 93 340 0 06 Jul 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,855 0 14 Jun 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 179 593 0 22 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 359 4,718 0 15 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 152 462 0 06 Mar 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 144 831 0 19 Jan 2017
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study J. Dolz Christian Desrosiers Ismail Ben Ayed 3DV 67 366 0 12 Dec 2016
End-to-end learning of brain tissue segmentation from imperfect labeling A. Fedorov Jeremy Johnson Eswar Damaraju Alexei Ozerin Vince D. Calhoun Sergey Plis MedIm 47 48 0 03 Dec 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 271 8,453 0 23 Nov 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,518 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 831 9,345 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,892 0 20 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,341 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,260 0 22 Dec 2014