Confounding variables can degrade generalization performance of radiological deep learning models

2 July 2018

Eric K. Oermann

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

50 / 139 papers shown

Title
In-Context Learning for Label-Efficient Cancer Image Classification in Oncology Mobina Shrestha Bishwas Mandal Vishal Mandal Asis Shrestha VLM 39 0 0 08 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 70 1 0 24 Apr 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 83 0 0 31 Dec 2024
Explaining the Impact of Training on Vision Models via Activation Clustering Ahcène Boubekki Samuel G. Fadel Sebastian Mair 96 0 0 29 Nov 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective Zhexuan Liu Rong Ma Yiqiao Zhong 62 0 0 22 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 54 1 0 04 Oct 2024
Beyond One-Time Validation: A Framework for Adaptive Validation of Prognostic and Diagnostic AI-based Medical Devices Florian Hellmeier Kay Brosien Carsten Eickhoff Alexander Meyer 26 1 0 07 Sep 2024
Tolerant Algorithms for Learning with Arbitrary Covariate Shift Surbhi Goel Abhishek Shetty Konstantinos Stavropoulos Arsen Vasilyan OOD 34 2 0 04 Jun 2024
What is Reproducibility in Artificial Intelligence and Machine Learning Research? Abhyuday Desai Mohamed Abdelhamid N. R. Padalkar AI4CE 32 2 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 46 121 0 28 Mar 2024
Shortcut Learning in Medical Image Segmentation Manxi Lin Nina Weng K. Mikolaj Zahra Bashir M. B. S. Svendsen M. Tolsgaard Anders Christensen Aasa Feragen SSeg VLM 42 3 0 11 Mar 2024
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation Yaxuan Song Jianan Fan Dongnan Liu Weidong Cai 23 0 0 09 Feb 2024
On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning Joan Giner-Miguelez Abel Gómez Jordi Cabot 33 0 0 18 Jan 2024
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images Nam Cao O. Saukh 29 2 0 18 Nov 2023
Generalization in medical AI: a perspective on developing scalable models Joachim A. Behar Jeremy Levy Leo Anthony Celi OOD 34 6 0 09 Nov 2023
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control Thomas Sanchez Oscar Esteban Yvan Gomez A. Pron Mériam Koob ... Nadine Girard Andras Jakab E. Eixarch G. Auzias Meritxell Bach Cuadra 24 5 0 08 Nov 2023
Data Augmentations for Improved (Large) Language Model Generalization Amir Feder Yoav Wald Claudia Shi Suchi Saria David M. Blei OOD CML 34 7 0 19 Oct 2023
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images Huyen Tran D. Nguyen John Yearwood MedIm ViT 40 0 0 30 Sep 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung Tucker Netherton Ankit B. Patel Kristy K. Brock OOD 30 6 0 07 Aug 2023
LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs Ben Lengerich Sebastian Bordt Harsha Nori M. Nunnally Y. Aphinyanaphongs Manolis Kellis Rich Caruana 34 7 0 02 Aug 2023
Unlearning Spurious Correlations in Chest X-ray Classification Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee CML OOD 18 0 0 02 Aug 2023
Auditing Fairness by Betting Ben Chugg Santiago Cortes-Gomez Bryan Wilder Aaditya Ramdas MLAU 45 7 0 27 May 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 39 1 0 25 May 2023
Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao Kaican Li Weiyan Xie Zhi Lin Yongxiang Huang Luning Wang Caleb Chen Cao N. Zhang 13 2 0 13 May 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 30 12 0 13 Mar 2023
Use Perturbations when Learning from Explanations Juyeon Heo Vihari Piratla Matthew Wicker Adrian Weller AAML 40 1 0 11 Mar 2023
Mark My Words: Dangers of Watermarked Images in ImageNet Kirill Bykov Klaus-Robert Muller Marina M.-C. Höhne 46 4 0 09 Mar 2023
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 37 28 0 03 Mar 2023
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases Mazda Moayeri Wenxiao Wang Sahil Singla S. Feizi 71 14 0 05 Dec 2022
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT Jacopo Teneggi P. Yi Jeremias Sulam 32 3 0 29 Nov 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 17 6 0 28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 30 10 0 28 Nov 2022
Localized Shortcut Removal Nicolas M. Muller Jochen Jacobs Jennifer Williams Konstantin Böttinger 25 0 0 24 Nov 2022
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains Kefan Dong Tengyu Ma OOD 21 20 0 21 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 27 4 0 17 Nov 2022
Using explainability to design physics-aware CNNs for solving subsurface inverse problems J. Crocker Krishna Kumar B. Cox 17 9 0 16 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto FaML 29 3 0 14 Nov 2022
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study S. Rajaraman Feng Yang Ghada Zamzmi Z. Xue Sameer Kiran Antani 26 0 0 04 Nov 2022
minoHealth.ai: A Clinical Evaluation Of Deep Learning Systems For the Diagnosis of Pleural Effusion and Cardiomegaly In Ghana, Vietnam and the United States of America D. Akogo B. Sarkodie I. Samori B. B. Jimah D. Anim Y. Mensah 6 0 0 31 Oct 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 38 118 0 20 Oct 2022
An efficient deep neural network to find small objects in large 3D images Jungkyu Park Jakub Chlkedowski Stanislaw Jastrzebski Jan Witowski Yan Xu ... Melanie Wegener Linda Moy Laura Heacock B. Reig Krzysztof J. Geras MedIm 23 1 0 16 Oct 2022
Microscopy is All You Need Sergei V. Kalinin Rama K Vasudevan Yongtao Liu Ayana Ghosh Kevin M. Roccapriore M. Ziatdinov 30 0 0 12 Oct 2022
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals Rohin Shah Vikrant Varma Ramana Kumar Mary Phuong Victoria Krakovna J. Uesato Zachary Kenton 40 68 0 04 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 50 7 0 19 Sep 2022
An Artificial Intelligence Outlook for Colorectal Cancer Screening P. Katrakazas Aristotelis Ballas M. Anisetti I. Spais 26 0 0 05 Sep 2022
Robustness of an Artificial Intelligence Solution for Diagnosis of Normal Chest X-Rays T. Dyer Jordan Smith G. Dissez N. Tay Q. Malik T. N. Morgan P. Williams Liliana Garcia-Mondragon George Pearse S. Rasalingham OOD 19 2 0 31 Aug 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Mingli Song Ming-hui Wu Mingli Song ViT 33 52 0 22 Aug 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 30 18 0 26 Jul 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift Ananya Kumar Tengyu Ma Percy Liang Aditi Raghunathan UQCV OODD OOD 47 38 0 18 Jul 2022
Leakage and the Reproducibility Crisis in ML-based Science Sayash Kapoor Arvind Narayanan 25 177 0 14 Jul 2022