Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN

10 December 2018

Papers citing "Accuracy, Uncertainty, and Adaptability of Automatic Myocardial ASL Segmentation using Deep CNN"

21 / 21 papers shown

Title
Bayesian convolutional neural network based MRI brain extraction on nonhuman primates Gengyan Zhao Fang Liu J. Oler M. Meyerand N. Kalin R. Birn 71 63 0 18 May 2020
Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning H. Xue R. Davies L. Brown K. Knott T. Kotecha Marianna Fontana S. Plein James C. Moon Peter Kellman 122 42 0 02 Nov 2019
Measuring the Effects of Data Parallelism on Neural Network Training Christopher J. Shallue Jaehoon Lee J. Antognini J. Mamou J. Ketterling Yao Wang 78 408 0 08 Nov 2018
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 134 588 0 19 Jul 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 73 570 0 13 Jun 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks Mattias Teye Hossein Azizpour Kevin Smith BDL UQCV 106 240 0 18 Feb 2018
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation Christian F. Baumgartner Lisa M. Koch Marc Pollefeys E. Konukoglu 51 246 0 13 Sep 2017
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation Jay Patravali Shubham Jain Sasank Chilamkurthy 3DV 39 114 0 31 Jul 2017
GridNet with automatic shape prior registration for automatic MRI cardiac segmentation Clément Zotti Zhiming Luo A. Lalande O. Humbert Pierre-Marc Jodoin 53 88 0 24 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 309 4,667 0 15 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 64 1,717 0 08 Mar 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 202 8,615 0 15 Jun 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 356 18,300 0 27 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 402 37,704 0 20 May 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 114 3,049 0 18 Mar 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 78 1,062 0 09 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 852 15,718 0 02 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 533 9,233 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.3K 76,547 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 376 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014