Context Matters: Graph-based Self-supervised Representation Learning for
Medical Images

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images

11 December 2020

Kayhan Batmanghelich

Papers citing "Context Matters: Graph-based Self-supervised Representation Learning for Medical Images"

9 / 9 papers shown

Title
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 421 3,397 0 09 Mar 2020
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem J. Hofmanninger F. Prayer Jeanny Pan Sebastian Rohrich H. Prosch Georg Langs 58 46 0 31 Jan 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 109 12,007 0 13 Nov 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction Wenjia Bai Chen Chen G. Tarroni Jinming Duan Florian Guitton S. Petersen Yike Guo Paul M. Matthews Daniel Rueckert SSL 44 179 0 05 Jul 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 412 3,101 0 04 Jun 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 107 9,312 0 09 Feb 2018
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 131 2,973 0 30 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 161 9,266 0 14 Dec 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 149 3,337 0 30 Sep 2015