Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM

1 November 2021

Papers citing "Simulating Realistic MRI variations to Improve Deep Learning model and visual explanations using GradCAM"

8 / 8 papers shown

Title
3D Deep Learning on Medical Images: A Review S. Singh Lipo Wang Sukrit Gupta Haveesh Goli P. Padmanabhan Balázs Gulyás MedIm 89 426 0 01 Apr 2020
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 229 434 0 09 Mar 2020
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 131 4,059 0 25 Feb 2019
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 149 1,981 0 18 Sep 2018
Augmentor: An Image Augmentation Library for Machine Learning Marcus D. Bloice Christof Stocker Andreas Holzinger 44 265 0 11 Aug 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
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 678 10,786 0 19 Feb 2017
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013