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

6 February 2020

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

50 / 56 papers shown

Title
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation Amit Rand Hadi Ibrahim MedIm 41 0 0 03 Apr 2025
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis Doron Serebro Tammy Riklin-Raviv OOD 60 0 0 06 Mar 2025
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures Luis Lara Lucia Eve Berger Rajesh Raju ViT 32 0 0 23 Feb 2025
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 79 1 0 17 Feb 2025
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 34 1 0 29 Oct 2024
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records Daeun Kyung J. Kim Tackeun Kim E. Choi MedIm DiffM 41 1 0 11 Sep 2024
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning Gianluca Carloni Sotirios A. Tsaftaris Sara Colantonio OOD 26 1 0 09 Aug 2024
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection Raman Dutt Pedro Sanchez Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales MedIm 31 2 0 29 May 2024
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification Ricardo Bigolin Lanfredi Pritam Mukherjee Ronald M. Summers 26 4 0 06 Mar 2024
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 17 10 0 31 Jan 2024
Faster ISNet for Background Bias Mitigation on Deep Neural Networks P. R. Bassi S. Decherchi Andrea Cavalli 17 0 0 16 Jan 2024
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training Jiuming Qin Che Liu Sibo Cheng Yike Guo Rossella Arcucci VLM MedIm 20 5 0 02 Jan 2024
Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks Mohammed Baharoon Waseem Qureshi J. Ouyang Yanwu Xu Abdulrhman Aljouie Wei Peng MedIm AI4CE 43 8 0 04 Dec 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 30 0 0 08 Sep 2023
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations Rhys Compton Lily Zhang R. Borsoi Rajesh Ranganath OOD 28 9 0 08 Aug 2023
End-to-End Supervised Multilabel Contrastive Learning A. Sajedi Samir Khaki Konstantinos N. Plataniotis Mahdi S. Hosseini SSL 21 8 0 08 Jul 2023
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 18 8 0 10 Jun 2023
K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging Chaoyi Wu Xiaoman Zhang Yanfeng Wang Ya-Qin Zhang Weidi Xie MedIm 11 9 0 22 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 17 2 0 06 Feb 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 11 2 0 15 Dec 2022
Private Multi-Winner Voting for Machine Learning Adam Dziedzic Christopher A. Choquette-Choo Natalie Dullerud Vinith M. Suriyakumar Ali Shahin Shamsabadi Muhammad Ahmad Kaleem S. Jha Nicolas Papernot Xiao Wang 31 1 0 23 Nov 2022
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 9 0 0 04 Nov 2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta J. Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 11 7 0 31 Oct 2022
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains Pierre J. Chambon Christian Blüthgen C. Langlotz Akshay S. Chaudhari DiffM MedIm LM&MA 20 111 0 09 Oct 2022
Medical Image Captioning via Generative Pretrained Transformers Alexander Selivanov Oleg Y. Rogov Daniil Chesakov Artem Shelmanov Irina Fedulova Dmitry V. Dylov MedIm 49 55 0 28 Sep 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 17 4 0 26 Sep 2022
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 OOD MedIm 29 4 0 09 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models Ben Glocker Charles Jones Mélanie Roschewitz S. Winzeck 12 34 0 07 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 27 14 0 06 Aug 2022
Deep learning for understanding multilabel imbalanced Chest X-ray datasets H. Liz Javier Huertas-Tato Manuel Sánchez-Montanés Javier Del Ser David Camacho SSL 9 25 0 28 Jul 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 14 18 0 26 Jul 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare Marissa Radensky Dustin Burson Rajya Bhaiya Daniel S. Weld 19 0 0 27 Apr 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 16 31 0 29 Mar 2022
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 16 3 0 27 Dec 2021
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 16 3 0 23 Dec 2021
TorchXRayVision: A library of chest X-ray datasets and models Joseph Paul Cohen J. Viviano Paul Bertin Paul Morrison Parsa Torabian ... M. Lungren Akshay S. Chaudhari Rupert Brooks Mohammad Hashir H. Bertrand VLM MedIm 11 121 0 31 Oct 2021
GAN-based Data Augmentation for Chest X-ray Classification Shobhita Sundaram Neha Hulkund MedIm 19 35 0 07 Jul 2021
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures Nam H. Nguyen Jerome Chang 14 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 Mehdi Cherti J. Jitsev LM&MA 22 23 0 31 May 2021
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 35 6 0 21 Apr 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 24 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 16 315 0 15 Mar 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 29 3 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 Candelaria Mosquera F. N. Diaz F. Binder J. Rabellino S. Benítez A. Beresñak A. Seehaus Gabriel Ducrey J. Ocantos Daniela Luna 14 13 0 23 Dec 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 11 0 0 17 Oct 2020
Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing Ankit Pal Malaikannan Sankarasubbu 17 77 0 06 Oct 2020
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients D. Gomes Anwaar Ulhaq M. Paul M. J. Horry Subrata Chakraborty M. Saha Tanmoy Debnath D. M. Motiur 14 9 0 26 Sep 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images Lucas O. Teixeira R. M. Pereira Diego Bertolini Luiz Eduardo Soares de Oliveira L. Nanni George D. C. Cavalcanti Yandre M. G. Costa 13 114 0 21 Sep 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT K. Yan Jinzheng Cai Youjing Zheng Adam P. Harrison D. Jin Youbao Tang Yuxing Tang Lingyun Huang Jing Xiao Le Lu 34 84 0 05 Sep 2020
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets Beatriz Garcia Santa Cruz J. Sölter M. Bossa A. Husch OOD 20 11 0 26 Aug 2020