Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts

21 September 2020

Papers citing "Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts"

25 / 25 papers shown

Title
Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models Fardin Ahsan Sakib Ziwei Zhu Karen Trister Grace Meliha Yetisgen Özlem Uzuner 21 0 0 30 May 2025
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework Nathan G. Drenkow Mitchell Pavlak Keith Harrigian Ayah Zirikly Adarsh Subbaswamy M. M. Farhangi N. Petrick Mathias Unberath MLAU 123 1 0 13 Mar 2025
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 83 0 0 18 Oct 2024
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks Sarah Jabbour Gregory Kondas Ella Kazerooni Michael Sjoding David Fouhey Jenna Wiens FAtt DiffM 64 1 0 19 Jul 2024
Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification Artem Abzaliev Humberto Pérez Espinosa Rada Mihalcea VLM 81 1 0 29 Apr 2024
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities Dana Moukheiber S. Mahindre L. Moukheiber Mira Moukheiber Mingchen Gao 97 2 0 27 Mar 2024
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng Paraskevas Pegios Eike Petersen Aasa Feragen Siavash Bigdeli MedIm CML 55 13 0 21 Dec 2023
FACTS: First Amplify Correlations and Then Slice to Discover Bias Sriram Yenamandra Baifeng Shi Trevor Darrell Judy Hoffman CML 62 23 0 29 Sep 2023
The Role of Subgroup Separability in Group-Fair Medical Image Classification Charles Jones Mélanie Roschewitz Ben Glocker OOD 84 10 0 06 Jul 2023
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models Michael F. Pavlak Nathan G. Drenkow N. Petrick M. M. Farhangi Mathias Unberath MLAU 81 4 0 06 Apr 2023
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs Rachael Harkness Alejandro F Frangi K. Zucker Nishant Ravikumar CML CoGe 23 4 0 06 Feb 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations Qingyao Sun Kevin Murphy S. Ebrahimi Alexander DÁmour OOD VLM 60 8 0 28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 78 12 0 28 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts Priyatham Kattakinda Alexander Levine Soheil Feizi DiffM 57 10 0 18 Nov 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 102 12 0 20 Sep 2022
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning Trenton Chang Michael Sjoding Jenna Wiens 83 11 0 01 Aug 2022
Detecting Shortcut Learning for Fair Medical AI using Shortcut Testing Alex Brown Nenad Tomašev Jan Freyberg Yuan Liu Alan Karthikesalingam Jessica Schrouff 83 57 0 21 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra Aleksander Madry 97 90 0 29 Jun 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Helen Zhou FaML 72 0 0 29 Jun 2022
PixelSynth: Generating a 3D-Consistent Experience from a Single Image C. Rockwell David Fouhey Justin Johnson VGen 146 85 0 12 Aug 2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images Imon Banerjee A. Bhimireddy J. L. Burns Leo Anthony Celi Li-Ching Chen ... Hari M. Trivedi Ryan Wang Z. Zaiman Haoran Zhang J. Gichoya 89 341 0 21 Jul 2021
Causally motivated Shortcut Removal Using Auxiliary Labels Maggie Makar Ben Packer D. Moldovan Davis W. Blalock Yoni Halpern Alexander DÁmour OOD CML 74 75 0 13 May 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 112 136 0 27 Apr 2021
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities Julia Rosenzweig Joachim Sicking Sebastian Houben Michael Mock Maram Akila AAML 99 3 0 22 Apr 2021
Quantifying the Extent to Which Race and Gender Features Determine Identity in Commercial Face Recognition Algorithms John J. Howard Yevgeniy B. Sirotin Jerry L. Tipton A. Vemury CVBM 34 11 0 15 Oct 2020