Artifact-Robust Graph-Based Learning in Digital Pathology

27 October 2023

Papers citing "Artifact-Robust Graph-Based Learning in Digital Pathology"

10 / 10 papers shown

Title
A graph-transformer for whole slide image classification Yi Zheng R. Gindra Emily J. Green E. Burks Margrit Betke J. Beane V. Kolachalama MedIm 102 129 0 19 May 2022
Now You See It, Now You Dont: Adversarial Vulnerabilities in Computational Pathology Alex Foote Amina Asif A. Azam Tim Marshall-Cox Nasir M. Rajpoot F. Minhas AAML MedIm 59 12 0 14 Jun 2021
Understanding Robustness of Transformers for Image Classification Srinadh Bhojanapalli Ayan Chakrabarti Daniel Glasner Daliang Li Thomas Unterthiner Andreas Veit ViT 93 386 0 26 Mar 2021
Histographs: Graphs in Histopathology Shrey Gadiya Deepak Anand A. Sethi GNN 67 70 0 14 Aug 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 124 434 0 23 May 2019
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,729 0 19 May 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 657 29,154 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 358 7,671 0 30 Jun 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014