CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting

26 February 2020

Papers citing "CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting"

24 / 24 papers shown

Title
Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining Sameer Tajdin Khanna Daniel J. Michael Marinka Zitnik Pranav Rajpurkar SSL MedIm 19 1 0 15 May 2024
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 23 12 0 13 Oct 2022
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy Biling Wang M. Dohopolski T. Bai Junjie Wu R. Hannan ... D. Nguyen Mu-Han Lin Robert Timmerman Xinlei Wang Steve B. Jiang 28 2 0 11 Oct 2022
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese Thao T. B. Nguyen T. M. Vo Thang V. Nguyen Hieu H. Pham H. Nguyen 15 4 0 11 Sep 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph Hieu H. Pham H. Q. Nguyen H. T. Nguyen T. Le M. Dao MedIm 33 14 0 06 Aug 2022
Three Applications of Conformal Prediction for Rating Breast Density in Mammography Charles Lu Ken Chang Praveer Singh Jayashree Kalpathy-Cramer OOD AI4CE 34 8 0 23 Jun 2022
PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children Hieu H. Pham N. H. Nguyen Thanh-Truong Tran T. N. Nguyen H. Nguyen LM&MA 11 29 0 20 Mar 2022
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 22 21 0 12 Sep 2021
Meta-repository of screening mammography classifiers Benjamin Stadnick Jan Witowski Vishwaesh Rajiv Jakub Chledowski Farah E. Shamout Kyunghyun Cho Krzysztof J. Geras 20 11 0 10 Aug 2021
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries Sahar Kazemzadeh Jin Yu Shahar Jamshy Rory Pilgrim Zaid Nabulsi ... Yun-hui Liu Krish Eswaran Daniel Tse S. Shetty Shruthi Prabhakara LM&MA 34 3 0 16 May 2021
A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs N. H. Nguyen H. Nguyen N. T. Nguyen T. Nguyen Hieu H. Pham T. N. Nguyen 21 8 0 06 Apr 2021
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays E. Chen Andy Kim R. Krishnan J. Long A. Ng Pranav Rajpurkar 26 2 0 18 Mar 2021
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays Siyu Shi Ishaan Malhi Ke M. Tran A. Ng Pranav Rajpurkar 11 4 0 08 Mar 2021
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels Saahil Jain Akshay Smit Steven QH Truong C. Nguyen Minh-Thanh Huynh Mudit Jain Victoria A Young A. Ng M. Lungren Pranav Rajpurkar MedIm 9 27 0 23 Feb 2021
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings Pranav Rajpurkar Anirudh Joshi Anuj Pareek A. Ng M. Lungren OOD 57 14 0 17 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice V. Kulkarni M. Gawali A. Kharat VLM 38 21 0 03 Feb 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 65 101 0 18 Jan 2021
Supervised Transfer Learning at Scale for Medical Imaging Basil Mustafa Aaron Loh Jan Freyberg Patricia MacWilliams Megan Wilson ... Shruthi Prabhakara Umesh Telang Alan Karthikesalingam N. Houlsby Vivek Natarajan LM&MA 14 67 0 14 Jan 2021
CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays Pranav Rajpurkar Anirudh Joshi Anuj Pareek Jeremy Irvin A. Ng M. Lungren 12 3 0 12 Nov 2020
Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases Zaid Nabulsi Andrew Sellergren Shahar Jamshy Charles Lau E. Santos ... Daniel Tse Neeral Beladia Yun-hui Liu Po-Hsuan Cameron Chen S. Shetty 21 37 0 22 Oct 2020
A generalized deep learning model for multi-disease Chest X-Ray diagnostics Nabit A. Bajwa Kedar Bajwa A. Rana Muhammad Faique Shakeel K. Haqqi Suleiman A. Khan OOD 16 0 0 17 Oct 2020
CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness Nick A. Phillips Pranav Rajpurkar Mark Sabini R. Krishnan Sharon Zhou ... Mudit Jain Nguyen Duong Du Steven QH Truong A. Ng M. Lungren MedIm 17 13 0 13 Jul 2020
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion X. Liang D. Nguyen Steve B. Jiang OOD 6 33 0 16 Apr 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016