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On the limits of cross-domain generalization in automated X-ray
  prediction
v1v2 (latest)

On the limits of cross-domain generalization in automated X-ray prediction

International Conference on Medical Imaging with Deep Learning (MIDL), 2020
6 February 2020
Joseph Paul Cohen
Mohammad Hashir
Rupert Brooks
H. Bertrand
    OOD
ArXiv (abs)PDFHTMLGithub (1023★)

Papers citing "On the limits of cross-domain generalization in automated X-ray prediction"

50 / 52 papers shown
MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis
MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis
Louisa Fay
Hajer Reguigui
Bin Yang
S. Gatidis
Thomas Kustner
159
1
0
28 Nov 2025
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
Stefania L. Moroianu
Christian Bluethgen
Pierre J. Chambon
Mehdi Cherti
Jean-Benoit Delbrouck
...
Brandon Price
J. Gichoya
J. Jitsev
C. Langlotz
Akshay Chaudhari
MedIm
163
5
0
22 Aug 2025
Label-free estimation of clinically relevant performance metrics under distribution shifts
Label-free estimation of clinically relevant performance metrics under distribution shifts
Tim Flühmann
Alceu Bissoto
Trung-Dung Hoang
Lisa M. Koch
OOD
122
0
0
30 Jul 2025
Adjustment for Confounding using Pre-Trained Representations
Adjustment for Confounding using Pre-Trained Representations
Rickmer Schulte
David Rügamer
Thomas Nagler
CMLBDL
329
3
0
17 Jun 2025
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation
Amit Rand
Hadi Ibrahim
MedIm
373
2
0
03 Apr 2025
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
Luis Lara
Lucia Eve Berger
Rajesh Raju
ViT
404
0
0
23 Feb 2025
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
F. Jonske
M. Kim
Enrico Nasca
J. Evers
Johannes Haubold
...
F. Nensa
Michael Kamp
C. Seibold
Jan Egger
Jens Kleesiek
368
5
0
17 Feb 2025
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
Daeun Kyung
J. Kim
Tackeun Kim
Edward Choi
MedImDiffM
379
2
0
11 Sep 2024
CROCODILE: Causality aids RObustness via COntrastive DIsentangled
  LEarning
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
Gianluca Carloni
Sotirios A. Tsaftaris
Sara Colantonio
OOD
253
2
0
09 Aug 2024
Decentralised, Collaborative, and Privacy-preserving Machine Learning
  for Multi-Hospital Data
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
Cong Fang
Adam Dziedzic
Lin Zhang
Laura Oliva
A. Verma
Fahad Razak
Nicolas Papernot
Bo Wang
OOD
249
30
0
31 Jan 2024
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-raysIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Aroof Aimen
Arsh Verma
Makarand Tapaswi
N. C. Krishnan
244
1
0
08 Sep 2023
Preserving privacy in domain transfer of medical AI models comes at no
  performance costs: The integral role of differential privacy
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy
Soroosh Tayebi Arasteh
Mahshad Lotfinia
T. Nolte
Marwin Saehn
P. Isfort
Christiane Kuhl
S. Nebelung
Georgios Kaissis
Daniel Truhn
MedIm
282
13
0
10 Jun 2023
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging
Chaoyi Wu
Xiaoman Zhang
Yanfeng Wang
Ya Zhang
Weidi Xie
MedIm
205
10
0
22 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary TasksInternational Conference on Machine Learning (ICML), 2023
Salah Ghamizi
Jingfeng Zhang
Maxime Cordy
Mike Papadakis
Masashi Sugiyama
Yves Le Traon
AAML
308
7
0
06 Feb 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification:
  Pitfalls and Best Practices
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices
Salah Ghamizi
Maxime Cordy
Michail Papadakis
Yves Le Traon
OOD
200
4
0
15 Dec 2022
Private Multi-Winner Voting for Machine Learning
Private Multi-Winner Voting for Machine LearningProceedings on Privacy Enhancing Technologies (PoPETs), 2022
Adam Dziedzic
Christopher A. Choquette-Choo
Natalie Dullerud
Vinith Suriyakumar
Ali Shahin Shamsabadi
Muhammad Ahmad Kaleem
S. Jha
Nicolas Papernot
Xiao Wang
273
1
0
23 Nov 2022
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric
  Population: A Retrospective Study
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study
S. Rajaraman
Feng Yang
Ghada Zamzmi
Z. Xue
Sameer Kiran Antani
165
0
0
04 Nov 2022
Rethinking Generalization: The Impact of Annotation Style on Medical
  Image Segmentation
Rethinking Generalization: The Impact of Annotation Style on Medical Image SegmentationMachine Learning for Biomedical Imaging (MLBI), 2022
Brennan Nichyporuk
Jillian Cardinell
Justin Szeto
Raghav Mehta
Jean-Pierre Falet
Douglas L. Arnold
Sotirios A. Tsaftaris
Tal Arbel
395
15
0
31 Oct 2022
Adapting Pretrained Vision-Language Foundational Models to Medical
  Imaging Domains
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Pierre J. Chambon
Christian Blüthgen
C. Langlotz
Akshay S. Chaudhari
DiffMMedImLM&MA
260
141
0
09 Oct 2022
Medical Image Captioning via Generative Pretrained Transformers
Medical Image Captioning via Generative Pretrained TransformersScientific Reports (Sci Rep), 2022
Alexander Selivanov
Oleg Y. Rogov
Daniil Chesakov
Artem Shelmanov
Irina Fedulova
Dmitry V. Dylov
MedIm
234
97
0
28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAMLOODD
285
9
0
26 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features
  with Applications to Medical Imaging Classification System
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
Xin Li
Yao Qiang
Chengyin Li
Sijia Liu
D. Zhu
OODMedIm
271
4
0
09 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Ben Glocker
Charles Jones
Mélanie Roschewitz
S. Winzeck
387
68
0
07 Sep 2022
An Accurate and Explainable Deep Learning System Improves Interobserver
  Agreement in the Interpretation of Chest Radiograph
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest RadiographIEEE Access (IEEE Access), 2021
Hieu H. Pham
H. Q. Nguyen
H. T. Nguyen
T. Le
M. Dao
MedIm
244
22
0
06 Aug 2022
Deep learning for understanding multilabel imbalanced Chest X-ray
  datasets
Deep learning for understanding multilabel imbalanced Chest X-ray datasetsFuture generations computer systems (FGCS), 2022
H. Liz
Javier Huertas-Tato
Manuel Sánchez-Montanés
Javier Del Ser
David Camacho
SSL
225
33
0
28 Jul 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing
  Methods
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing MethodsMachine Learning in Health Care (MLHC), 2022
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
179
23
0
26 Jul 2022
Exploring How Anomalous Model Input and Output Alerts Affect
  Decision-Making in Healthcare
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
Marissa Radensky
Dustin Burson
Rajya Bhaiya
Daniel S. Weld
196
0
0
27 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional
  Filters
CNN Filter DB: An Empirical Investigation of Trained Convolutional FiltersComputer Vision and Pattern Recognition (CVPR), 2022
Paul Gavrikov
J. Keuper
AAML
303
37
0
29 Mar 2022
Domain generalization in deep learning-based mass detection in
  mammography: A large-scale multi-center study
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study
Lidia Garrucho
Kaisar Kushibar
Socayna Jouide
Oliver Díaz
Laura Igual
Karim Lekadir
OOD
282
31
0
27 Jan 2022
Multi-Domain Balanced Sampling Improves Out-of-Distribution
  Generalization of Chest X-ray Pathology Prediction Models
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
E. Tetteh
J. Viviano
Yoshua Bengio
David M. Krueger
Joseph Paul Cohen
OOD
234
3
0
27 Dec 2021
Impact of class imbalance on chest x-ray classifiers: towards better
  evaluation practices for discrimination and calibration performance
Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performance
Candelaria Mosquera
Luciana Ferrer
Diego H. Milone
D.R. Luna
Enzo Ferrante
274
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23 Dec 2021
TorchXRayVision: A library of chest X-ray datasets and models
TorchXRayVision: A library of chest X-ray datasets and modelsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2021
Joseph Paul Cohen
J. Viviano
Paul Bertin
Paul Morrison
Parsa Torabian
...
M. Lungren
Akshay S. Chaudhari
Rupert Brooks
Mohammad Hashir
H. Bertrand
VLMMedIm
360
180
0
31 Oct 2021
GAN-based Data Augmentation for Chest X-ray Classification
GAN-based Data Augmentation for Chest X-ray Classification
Shobhita Sundaram
Neha Hulkund
MedIm
290
47
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07 Jul 2021
COVID-19 Pneumonia Severity Prediction using Hybrid
  Convolution-Attention Neural Architectures
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures
Nam H. Nguyen
Jerome Chang
237
3
0
06 Jul 2021
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and
  Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest ImagesIEEE International Joint Conference on Neural Network (IJCNN), 2021
Mehdi Cherti
J. Jitsev
LM&MA
491
32
0
31 May 2021
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep
  Learning-based Radiograph Diagnosis: A Multicenter Study
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study
Luyang Luo
Hao Chen
Yongjie Xiao
Yanning Zhou
Xi Wang
...
Zaiyi Liu
X. B. Fang
E. Tsougenis
Huangjing Lin
Pheng-Ann Heng
241
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0
21 Apr 2021
An Empirical Framework for Domain Generalization in Clinical Settings
An Empirical Framework for Domain Generalization in Clinical SettingsACM Conference on Health, Inference, and Learning (CHIL), 2021
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OODAI4CE
306
69
0
20 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
330
432
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15 Mar 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to
  Counterfactual Generation for Chest X-rays
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
FAttMedIm
233
4
0
18 Feb 2021
Chest x-ray automated triage: a semiologic approach designed for
  clinical implementation, exploiting different types of labels through a
  combination of four Deep Learning architectures
Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures
Candelaria Mosquera
F. N. Diaz
F. Binder
J. Rabellino
S. Benítez
A. Beresñak
A. Seehaus
Gabriel Ducrey
J. Ocantos
Daniela Luna
237
18
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23 Dec 2020
A generalized deep learning model for multi-disease Chest X-Ray
  diagnostics
A generalized deep learning model for multi-disease Chest X-Ray diagnosticsInternational Work-Conference on Artificial and Natural Neural Networks (IWANN), 2020
Nabit A. Bajwa
Kedar Bajwa
A. Rana
Muhammad Faique Shakeel
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Suleiman A. Khan
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143
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17 Oct 2020
Pay Attention to the cough: Early Diagnosis of COVID-19 using
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Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal ProcessingACM Symposium on Applied Computing (SAC), 2020
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Malaikannan Sankarasubbu
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Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
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Anwaar Ulhaq
M. Paul
M. J. Horry
Subrata Chakraborty
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271
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Impact of lung segmentation on the diagnosis and explanation of COVID-19
  in chest X-ray images
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesItalian National Conference on Sensors (INS), 2020
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
438
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Learning from Multiple Datasets with Heterogeneous and Partial Labels
  for Universal Lesion Detection in CT
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CTIEEE Transactions on Medical Imaging (TMI), 2020
K. Yan
Jinzheng Cai
Youjing Zheng
Adam P. Harrison
D. Jin
Youbao Tang
Yuxing Tang
Lingyun Huang
Jing Xiao
Le Lu
510
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05 Sep 2020
On the Composition and Limitations of Publicly Available COVID-19 X-Ray
  Imaging Datasets
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Beatriz Garcia Santa Cruz
J. Sölter
M. Bossa
A. Husch
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297
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COVID-19 Image Data Collection: Prospective Predictions Are the Future
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen
Paul Morrison
Lan Dao
Karsten Roth
T. Duong
Marzyeh Ghassemi
384
824
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22 Jun 2020
Domain Generalization using Causal Matching
Domain Generalization using Causal MatchingInternational Conference on Machine Learning (ICML), 2020
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
656
391
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12 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
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
249
89
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06 Jun 2020
Universal Lesion Detection by Learning from Multiple Heterogeneously
  Labeled Datasets
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets
K. Yan
Jinzheng Cai
Adam P. Harrison
D. Jin
Jing Xiao
Le Lu
210
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