Confounding variables can degrade generalization performance of
radiological deep learning models

Confounding variables can degrade generalization performance of radiological deep learning models

2 July 2018

Marcus A. Badgeley

Eric K. Oermann

Papers citing "Confounding variables can degrade generalization performance of radiological deep learning models"

17 / 17 papers shown

Title
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification Shuxian Ma Zihao Dong Runmin Cong Sam Kwong Xiuli Shao 59 0 0 23 May 2025
Generate to Discriminate: Expert Routing for Continual Learning Yewon Byun Sanket Vaibhav Mehta Saurabh Garg Emma Strubell Michael Oberst Bryan Wilder Zachary Chase Lipton 122 0 0 31 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki Samuel G. Fadel Sebastian Mair 171 0 0 29 Nov 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective Zhexuan Liu Rong Ma Yiqiao Zhong 80 0 0 22 Oct 2024
What is Reproducibility in Artificial Intelligence and Machine Learning Research? Abhyuday Desai Mohamed Abdelhamid N. R. Padalkar AI4CE 44 3 0 29 Apr 2024
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models Samuel Marks Can Rager Eric J. Michaud Yonatan Belinkov David Bau Aaron Mueller 98 137 0 28 Mar 2024
Generalization in medical AI: a perspective on developing scalable models Joachim A. Behar Jeremy Levy Leo Anthony Celi OOD 60 6 0 09 Nov 2023
Do CIFAR-10 Classifiers Generalize to CIFAR-10? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD FedML ELM 113 409 0 01 Jun 2018
$Detecting hip fractures with radiologist-level performance using deep neural networks$ Detecting hip fractures with radiologist-level performance using deep neural networks William Gale Luke Oakden-Rayner G. Carneiro A. Bradley L. Palmer UQCV MedIm 32 100 0 17 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 71 2,691 0 14 Nov 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases Xiaosong Wang Yifan Peng Le Lu Zhiyong Lu M. Bagheri Ronald M. Summers LM&MA 126 2,495 0 05 May 2017
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks Krzysztof J. Geras Stacey Wolfson Yiqiu Shen Nan Wu S. G. Kim Eric Kim Laura Heacock Ujas N Parikh Linda Moy Kyunghyun Cho 49 223 0 21 Mar 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 269 4,620 0 10 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 631 36,599 0 25 Aug 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 170 9,280 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014