Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging

27 September 2019

Papers citing "Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging"

50 / 163 papers shown

Title
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation Amit Rand Hadi Ibrahim MedIm 54 0 0 03 Apr 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 Mathias Unberath MLAU 69 1 0 13 Mar 2025
Subgroup Performance Analysis in Hidden Stratifications Alceu Bissoto Trung-Dung Hoang Tim Flühmann Susu Sun Christian F. Baumgartner Lisa M. Koch OOD 60 0 0 13 Mar 2025
Debiased Prompt Tuning in Vision-Language Model without Annotations Chaoquan Jiang Yunfan Yang Rui Hu Jitao Sang VLM 57 0 0 11 Mar 2025
BiasICL: In-Context Learning and Demographic Biases of Vision Language Models Sonnet Xu Joseph Janizek Yixing Jiang Roxana Daneshjou VLM 70 0 0 04 Mar 2025
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions Sujan Sai Gannamaneni Rohil Prakash Rao Michael Mock Maram Akila Stefan Wrobel AAML 168 0 0 17 Feb 2025
Towards Virtual Clinical Trials of Radiology AI with Conditional Generative Modeling Benjamin Killeen Bohua Wan Aditya V. Kulkarni Nathan G. Drenkow Michael Oberst Paul H. Yi Mathias Unberath MedIm 67 0 0 13 Feb 2025
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning Yan Luo Congcong Wen Min Shi Hao Huang Yi Fang Mengyu Wang FedML 26 0 0 31 Dec 2024
Mask of truth: model sensitivity to unexpected regions of medical images Théo Sourget Michelle Hestbek-Møller Amelia Jiménez-Sánchez Jack Junchi Xu V. Cheplygina AAML 80 0 0 05 Dec 2024
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Qixuan Jin Walter Gerych Marzyeh Ghassemi DiffM MedIm 33 0 0 16 Nov 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models Maya Varma Jean-Benoit Delbrouck Zhihong Chen Akshay S. Chaudhari C. Langlotz VLM 46 6 0 06 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 39 1 0 04 Nov 2024
Effective Guidance for Model Attention with Simple Yes-no Annotations Seongmin Lee Ali Payani Duen Horng Chau FAtt 45 0 0 29 Oct 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable? Liangze Jiang Damien Teney OODD OOD 28 1 0 03 Oct 2024
Efficient Bias Mitigation Without Privileged Information Mateo Espinosa Zarlenga Swami Sankaranarayanan Jerone T. A. Andrews Z. Shams M. Jamnik Alice Xiang 39 3 0 26 Sep 2024
Linking in Style: Understanding learned features in deep learning models Maren H. Wehrheim Pamela Osuna-Vargas Matthias Kaschube GAN 31 0 0 25 Sep 2024
Deep Generative Classification of Blood Cell Morphology Simon Deltadahl J. Gilbey C. V. Laer Nancy Boeckx M. Leers ... Nicholas S. Gleadall Carola-Bibiane Schönlieb S. Sivapalaratnam Michael Roberts P. Nachev DiffM MedIm 41 0 0 16 Aug 2024
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation Krishan Agyakari Raja Babu R. Sathish Mrunal Pattanaik Rahul Venkataramani 39 0 0 31 Jul 2024
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention João D. Nunes D. Montezuma Domingos Oliveira Tania Pereira Jaime S. Cardoso 53 1 0 26 Jul 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations Tyler LaBonte John C. Hill Xinchen Zhang Vidya Muthukumar Abhishek Kumar AAML 41 0 0 19 Jul 2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection Saachi Jain Kimia Hamidieh Kristian Georgiev Andrew Ilyas Marzyeh Ghassemi Aleksander Madry 37 2 0 24 Jun 2024
Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image Shaoxuan Wu Xiao Zhang Bin Wang Zhuo Jin Hansheng Li Jun Feng MedIm 3DH 28 2 0 20 Jun 2024
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods Vincent Olesen Nina Weng Aasa Feragen Eike Petersen 39 0 0 17 Jun 2024
Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework Olivier Binette Jerome P. Reiter 38 0 0 14 Jun 2024
Group-wise oracle-efficient algorithms for online multi-group learning Samuel Deng Daniel Hsu Jingwen Liu 35 1 0 07 Jun 2024
How to Evaluate Entity Resolution Systems: An Entity-Centric Framework with Application to Inventor Name Disambiguation Olivier Binette Youngsoo Baek Siddharth Engineer Christina Jones Abel Dasylva Jerome P. Reiter 37 2 0 08 Apr 2024
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging Dovile Juodelyte Yucheng Lu Amelia Jiménez-Sánchez Sabrina Bottazzi Enzo Ferrante V. Cheplygina OOD 38 5 0 07 Mar 2024
Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging Yuzhe Yang Yujia Liu Xin Liu A. Gulhane Domenico Mastrodicasa Wei Wu Edward J Wang Dushyant W. Sahani Shwetak N. Patel 61 8 0 22 Feb 2024
Copycats: the many lives of a publicly available medical imaging dataset Amelia Jiménez-Sánchez Natalia-Rozalia Avlona Dovile Juodelyte Théo Sourget Caroline Vang-Larsen Anna Rogers Hubert Dariusz Zajkac V. Cheplygina 35 0 0 09 Feb 2024
Multi-group Learning for Hierarchical Groups Samuel Deng Daniel Hsu AI4CE 41 1 0 01 Feb 2024
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council Luyang Luo Xin Huang Minghao Wang Zhuoyue Wan Hao Chen 32 2 0 22 Jan 2024
Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification Nathan Painchaud P. Courand Pierre-Marc Jodoin Nicolas Duchateau Olivier Bernard 39 2 0 15 Jan 2024
A novel method to enhance pneumonia detection via a model-level ensembling of CNN and vision transformer S. Angara Nishith Reddy Mannuru Aashrith Mannuru S. Thirunagaru ViT MedIm 18 1 0 04 Jan 2024
Unraveling the Key Components of OOD Generalization via Diversification Harold Benoit Liangze Jiang Andrei Atanov Ouguzhan Fatih Kar Mattia Rigotti Amir Zamir CML 31 2 0 26 Dec 2023
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng Paraskevas Pegios Eike Petersen Aasa Feragen Siavash Bigdeli MedIm CML 26 8 0 21 Dec 2023
Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs Chaoquan Jiang Jinqiang Wang Rui Hu Jitao Sang 24 0 0 09 Dec 2023
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects Boyang Yu Aakash Kaku Kangning Liu A. Parnandi Emily E Fokas Anita Venkatesan Natasha Pandit Rajesh Ranganath Heidi M. Schambra C. Fernandez‐Granda 23 0 0 21 Nov 2023
Probing clustering in neural network representations Thao Nguyen Simon Kornblith 32 1 0 14 Nov 2023
Why Do Probabilistic Clinical Models Fail To Transport Between Sites? Thomas A. Lasko Eric V. Strobl William W Stead OOD 41 7 0 08 Nov 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 26 20 0 25 Oct 2023
FACTS: First Amplify Correlations and Then Slice to Discover Bias Sriram Yenamandra Baifeng Shi Trevor Darrell Judy Hoffman CML 23 22 0 29 Sep 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 38 36 0 15 Sep 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations Cathrine Damgaard Trine Eriksen Dovile Juodelyte V. Cheplygina Amelia Jiménez-Sánchez 37 3 0 05 Sep 2023
Robustness Stress Testing in Medical Image Classification Mobarakol Islam Zeju Li Ben Glocker OOD 21 6 0 14 Aug 2023
Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI H. D. Zając Natalia-Rozalia Avlona T. O. Andersen F. Kensing Irina Shklovski 27 17 0 12 Aug 2023
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations Nilesh Kumar Ruby Shrestha Zhiyuan Li Linwei Wang CML OOD 34 2 0 12 Aug 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 49 9 0 31 Jul 2023
Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization Timothy Kline S. Ramanathan H. Gottlich P. Korfiatis Adriana V. Gregory 13 0 0 26 Jul 2023
The Role of Subgroup Separability in Group-Fair Medical Image Classification Charles Jones Mélanie Roschewitz Ben Glocker OOD 15 9 0 06 Jul 2023