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CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
26 February 2020
Pranav Rajpurkar
Anirudh Joshi
Anuj Pareek
Phil Chen
Amirhossein Kiani
Jeremy Irvin
A. Ng
M. Lungren
LM&MA
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Papers citing
"CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting"
23 / 23 papers shown
Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
Sameer Tajdin Khanna
Daniel J. Michael
Marinka Zitnik
Pranav Rajpurkar
SSL
MedIm
195
2
0
15 May 2024
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Tom van Sonsbeek
Xiantong Zhen
Dwarikanath Mahapatra
M. Worring
297
15
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
262
5
0
11 Oct 2022
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese
PLoS ONE (PLoS ONE), 2022
Thao T. B. Nguyen
T. M. Vo
Thang V. Nguyen
Hieu H. Pham
H. Nguyen
160
6
0
11 Sep 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph
IEEE Access (IEEE Access), 2021
Hieu H. Pham
H. Q. Nguyen
H. T. Nguyen
T. Le
M. Dao
MedIm
266
22
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
282
9
0
23 Jun 2022
PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children
Scientific Data (Sci Data), 2022
Hieu H. Pham
N. H. Nguyen
Thanh-Truong Tran
T. N. Nguyen
H. Nguyen
LM&MA
258
49
0
20 Mar 2022
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets
Fahim Tajwar
Ananya Kumar
Sang Michael Xie
Abigail Z. Jacobs
OODD
318
39
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
406
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
...
Yao Xiao
Krish Eswaran
Daniel Tse
S. Shetty
Shruthi Prabhakara
LM&MA
197
5
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
146
10
0
06 Apr 2021
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
Machine Learning in Health Care (MLHC), 2021
E. Chen
Andy Kim
R. Krishnan
J. Long
A. Ng
Pranav Rajpurkar
219
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
196
4
0
08 Mar 2021
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels
ACM Conference on Health, Inference, and Learning (CHIL), 2021
Saahil Jain
Akshay Smit
Steven QH Truong
C. Nguyen
Minh-Thanh Huynh
Mudit Jain
Victoria A Young
A. Ng
M. Lungren
Pranav Rajpurkar
MedIm
232
39
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
ACM Conference on Health, Inference, and Learning (CHIL), 2021
Pranav Rajpurkar
Anirudh Joshi
Anuj Pareek
A. Ng
M. Lungren
OOD
210
17
0
17 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
JMIR Medical Informatics (JMIR Med Inform), 2021
V. Kulkarni
M. Gawali
A. Kharat
VLM
286
29
0
03 Feb 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
ACM Conference on Health, Inference, and Learning (CHIL), 2021
Alexander Ke
William Ellsworth
Oishi Banerjee
A. Ng
Pranav Rajpurkar
MedIm
269
126
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
546
78
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
164
4
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
Yao Xiao
Po-Hsuan Cameron Chen
S. Shetty
299
49
0
22 Oct 2020
A generalized deep learning model for multi-disease Chest X-Ray diagnostics
International Work-Conference on Artificial and Natural Neural Networks (IWANN), 2020
Nabit A. Bajwa
Kedar Bajwa
A. Rana
Muhammad Faique Shakeel
K. Haqqi
Suleiman A. Khan
OOD
143
1
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
235
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
278
43
0
16 Apr 2020
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