Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical
Imaging

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Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging

26 July 2024

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Papers citing "Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging"

7 / 7 papers shown

Title
Measuring the Biases and Effectiveness of Content-Style Disentanglement Xiao Liu Spyridon Thermos Gabriele Valvano A. Chartsias Alison Q. OÑeil Sotirios A. Tsaftaris CoGe DRL 62 18 0 27 Aug 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 211 2,056 0 16 Apr 2020
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 43 344 0 17 Dec 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 112 2,602 0 21 Jan 2019
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks Konstantinos Kamnitsas Christian F. Baumgartner C. Ledig Virginia Newcombe Joanna P. Simpson ... David Menon A. Nori A. Criminisi Daniel Rueckert Ben Glocker OOD MedIm 79 478 0 28 Dec 2016
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 233 6,030 0 26 Sep 2014
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 279 2,602 0 28 Mar 2008

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