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
Adversarial Scrutiny of Evidentiary Statistical Software Rediet Abebe Moritz Hardt Angela Jin John Miller Ludwig Schmidt Rebecca Wexler 36 5 0 19 Jun 2022
The Importance of Background Information for Out of Distribution Generalization Jupinder Parmar Khaled Kamal Saab Brian Pogatchnik D. Rubin Christopher Ré OOD 21 0 0 17 Jun 2022
Rectify ViT Shortcut Learning by Visual Saliency Chong Ma Lin Zhao Yuzhong Chen David Liu Xi Jiang Tuo Zhang Xintao Hu Dinggang Shen Dajiang Zhu Tianming Liu ViT 36 20 0 17 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 34 45 0 13 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 27 12 0 09 Jun 2022
Comparing interpretation methods in mental state decoding analyses with deep learning models A. Thomas Christopher Ré R. Poldrack AI4CE 39 2 0 31 May 2022
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning Chong Ma Lin Zhao Yuzhong Chen Lu Zhang Zhe Xiao ... Tuo Zhang Qian Wang Dinggang Shen Dajiang Zhu Tianming Liu ViT MedIm 42 30 0 25 May 2022
Distributionally Robust Models with Parametric Likelihood Ratios Paul Michel Tatsunori Hashimoto Graham Neubig OOD 30 15 0 13 Apr 2022
Rethinking Machine Learning Model Evaluation in Pathology Syed Ashar Javed Dinkar Juyal Zahil Shanis S. Chakraborty Harsha Pokkalla Aaditya (Adi) Prakash LM&MA 33 12 0 11 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 51 320 0 06 Apr 2022
Invariance Learning based on Label Hierarchy S. Toyota Kenji Fukumizu OOD 23 1 0 29 Mar 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 27 18 0 10 Feb 2022
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms J. Jeong B. Vey A. Bhimireddy Thomas Kim Thiago Santos ... Christopher R. McAdams Mary S. Newell Imon Banerjee J. Gichoya Hari M. Trivedi 14 4 0 08 Feb 2022
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection M. J. Horry Subrata Chakraborty B. Pradhan M. Paul Jing Zhu H. Loh P. Barua Usha R. Acharya AI4CE 38 7 0 24 Jan 2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations Simon Bing Andrea Dittadi Stefan Bauer Patrick Schwab SyDa 25 17 0 20 Jan 2022
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Cheng Ouyang Chen Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 34 156 0 24 Nov 2021
Explainable multiple abnormality classification of chest CT volumes R. Draelos Lawrence Carin MedIm 34 12 0 24 Nov 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation Alexandros Karargyris Renato Umeton Micah J. Sheller Alejandro Aristizabal Johnu George ... Poonam Yadav Michael Rosenthal M. Loda Jason M. Johnson Peter Mattson FedML 49 73 0 29 Sep 2021
Deploying clinical machine learning? Consider the following... Charles Lu Kenglun Chang Praveer Singh S. Pomerantz S. Doyle Sujay S Kakarmath Christopher P. Bridge Jayashree Kalpathy-Cramer 49 4 0 14 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 156 74 0 12 Sep 2021
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing Sindhu C. M. Gowda Shalmali Joshi Haoran Zhang Marzyeh Ghassemi CML 34 8 0 27 Aug 2021
InfoGram and Admissible Machine Learning S. Mukhopadhyay FaML 22 8 0 17 Aug 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 27 51 0 12 Jul 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations A. Puli Lily H. Zhang Eric K. Oermann Rajesh Ranganath OOD OODD 27 48 0 29 Jun 2021
Disrupting Model Training with Adversarial Shortcuts Ivan Evtimov Ian Covert Aditya Kusupati Tadayoshi Kohno AAML 28 10 0 12 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 44 17 0 07 Jun 2021
The Federated Tumor Segmentation (FeTS) Challenge Sarthak Pati Ujjwal Baid M. Zenk Brandon Edwards Micah J. Sheller ... Lena Maier-Hein Jens Kleesiek Bjoern H. Menze Klaus Maier-Hein Spyridon Bakas FedML OOD 49 74 0 12 May 2021
Structured dataset documentation: a datasheet for CheXpert Christian Garbin Pranav Rajpurkar Jeremy Irvin M. Lungren Oge Marques 22 15 0 07 May 2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim Jong Chul Ye ViT MedIm 53 97 0 15 Apr 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography A. Barnett F. Schwartz Chaofan Tao Chaofan Chen Yinhao Ren J. Lo Cynthia Rudin 31 133 0 23 Mar 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 29 59 0 20 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 317 0 15 Mar 2021
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus Sangjoon Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim J. C. Ye ViT MedIm 38 33 0 12 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 18 16 0 04 Mar 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 82 69 0 02 Mar 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 28 57 0 25 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 30 151 0 20 Feb 2021
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability D. Nguyen F. Kay Jun Tan Yulong Yan Y. Ng P. Iyengar R. Peshock Steve B. Jiang OOD 21 26 0 18 Feb 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari FAtt MedIm 37 4 0 18 Feb 2021
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features Antonio Sze-To Abtin Riasatian Hamid R. Tizhoosh 22 13 0 11 Feb 2021
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning Aodong Li Alex Boyd Padhraic Smyth Stephan Mandt 15 21 0 15 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,383 0 14 Dec 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 52 258 0 18 Nov 2020
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks R. Draelos Lawrence Carin FAtt 31 94 0 17 Nov 2020
Studying Robustness of Semantic Segmentation under Domain Shift in cardiac MRI Peter M. Full Fabian Isensee Paul F. Jäger Klaus Maier-Hein OOD 31 43 0 15 Nov 2020
Domain Generalization in Biosignal Classification T. Dissanayake Tharindu Fernando Simon Denman H. Ghaemmaghami Sridha Sridharan Clinton Fookes OOD 11 17 0 12 Nov 2020
Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang Bin Dai David Wipf Jun Zhu 17 39 0 25 Oct 2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging Xuelin Qian Huazhu Fu Weiya Shi Tao Chen Yanwei Fu F. Shan Xiangyang Xue 33 51 0 07 Oct 2020