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"

39 / 139 papers shown

Title
Ethical Machine Learning in Health Care Irene Y. Chen Emma Pierson Sherri Rose Shalmali Joshi Kadija Ferryman Marzyeh Ghassemi AILaw 27 372 0 22 Sep 2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification Zhao Wang Quande Liu Qi Dou OOD 24 162 0 15 Sep 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 48 536 0 01 Jul 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures Saul Calderon-Ramirez Luis Oala J. Torrents-Barrena Shengxiang-Yang Armaghan Moemeni Wojciech Samek Miguel A. Molina-Cabello 33 10 0 14 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 27 75 0 06 Jun 2020
Deep Learning for Automatic Pneumonia Detection Tatiana Gabruseva D. Poplavskiy Alexandr A Kalinin 24 102 0 28 May 2020
CausaLM: Causal Model Explanation Through Counterfactual Language Models Amir Feder Nadav Oved Uri Shalit Roi Reichart CML LRM 44 157 0 27 May 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio ... A. Abbasi M. Hoshmand-Kochi Marzyeh Ghassemi Haifang Li T. Duong 35 222 0 24 May 2020
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic Yipeng Hu J. Jacob Geoffrey J. M. Parker D. Hawkes J. Hurst Danail Stoyanov OOD 21 65 0 19 May 2020
Multi-Task Learning in Histo-pathology for Widely Generalizable Model Jevgenij Gamper Navid Alemi Koohbanani Nasir M. Rajpoot 19 7 0 09 May 2020
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning Hengyuan Kang L. Xia Fuhua Yan Zhibin Wan F. Shi ... Huiting Jiang Dijia Wu H. Sui Changqing Zhang Dinggang Shen SSL 50 203 0 06 May 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images Gianluca Maguolo L. Nanni 27 200 0 27 Apr 2020
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting Pranav Rajpurkar Anirudh Joshi Anuj Pareek Phil Chen Amirhossein Kiani Jeremy Irvin A. Ng M. Lungren LM&MA 27 49 0 26 Feb 2020
The Problem with Metrics is a Fundamental Problem for AI Rachel L. Thomas D. Uminsky 19 67 0 20 Feb 2020
The Utility of General Domain Transfer Learning for Medical Language Tasks D. Ranti Katie Hanss Shan Zhao Varun Arvind J. Titano A. Costa Eric Oermann LM&MA MedIm 6 7 0 16 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 37 285 0 14 Feb 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data Quande Liu Qi Dou Lequan Yu Pheng Ann Heng OOD 79 275 0 09 Feb 2020
On the limits of cross-domain generalization in automated X-ray prediction Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 46 127 0 06 Feb 2020
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study Nathaniel Braman M. Adoui M. Vulchi P. Turk M. Etesami ... V. Varadan D. Plecha M. Benjelloun J. Abraham A. Madabhushi 25 22 0 22 Jan 2020
Making deep neural networks right for the right scientific reasons by interacting with their explanations P. Schramowski Wolfgang Stammer Stefano Teso Anna Brugger Xiaoting Shao Hans-Georg Luigs Anne-Katrin Mahlein Kristian Kersting 37 207 0 15 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 301 0 08 Jan 2020
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach William Lotter A. R. Diab B. Haslam Jiye G. Kim Giorgia Grisot ... J. Boxerman Meiyun Wang Mack Bandler G. Vijayaraghavan A. G. Sorensen 19 140 0 23 Dec 2019
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning M. Sendak M. C. Elish M. Gao Joseph D. Futoma W. Ratliff M. Nichols A. Bedoya S. Balu Cara O'Brien HAI 19 167 0 19 Nov 2019
Saliency is a Possible Red Herring When Diagnosing Poor Generalization J. Viviano B. Simpson Francis Dutil Yoshua Bengio Joseph Paul Cohen FAtt 28 6 0 01 Oct 2019
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging Luke Oakden-Rayner Jared A. Dunnmon G. Carneiro Christopher Ré OOD 35 373 0 27 Sep 2019
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming Claudio Michaelis Benjamin Mitzkus Robert Geirhos E. Rusak Oliver Bringmann Alexander S. Ecker Matthias Bethge Wieland Brendel 3DPC 30 437 0 17 Jul 2019
DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning Jen-Tang Lu Rupert Brooks Stefan Hahn Jin Chen Varun Buch ... B. Ghoshhajra Joel Pinto Paul Vozila Mark H. Michalski Neil A. Tenenholtz MedIm 10 25 0 04 Jul 2019
Improving performance of deep learning models with axiomatic attribution priors and expected gradients G. Erion Joseph D. Janizek Pascal Sturmfels Scott M. Lundberg Su-In Lee OOD BDL FAtt 21 80 0 25 Jun 2019
Early detection of sepsis utilizing deep learning on electronic health record event sequences S. Lauritsen M. E. Kalør Emil Lund Kongsgaard K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 19 135 0 07 Jun 2019
The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis Cynthia Rudin David Carlson HAI 30 34 0 04 Jun 2019
The Scientific Method in the Science of Machine Learning Jessica Zosa Forde Michela Paganini 24 35 0 24 Apr 2019
Tutorial: Safe and Reliable Machine Learning Suchi Saria Adarsh Subbaswamy FaML 30 82 0 15 Apr 2019
Artificial Intelligence for Pediatric Ophthalmology J. Reid Eric Eaton 32 60 0 06 Apr 2019
PadChest: A large chest x-ray image dataset with multi-label annotated reports A. Bustos A. Pertusa J. M. Salinas M. Iglesia-Vayá LM&MA 25 603 0 22 Jan 2019
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport Adarsh Subbaswamy Peter F. Schulam Suchi Saria OOD 13 20 0 11 Dec 2018
An overview of deep learning in medical imaging focusing on MRI A. Lundervold A. Lundervold OOD 22 1,608 0 25 Nov 2018
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling C. Perone P. Ballester Rodrigo C. Barros Julien Cohen-Adad OOD 35 207 0 14 Nov 2018
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables Giovanni Sutanto J. Zech Luke Oakden-Rayner Yevgen Chebotar Manway Liu William Gale M. McConnell Ankur Handa Thomas M. Snyder Dieter Fox AI4CE OOD 39 241 0 08 Nov 2018
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications Haohan Wang Zhenglin Wu Eric Xing OOD 35 40 0 20 Mar 2018