Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification

3 September 2019

Papers citing "Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification"

50 / 52 papers shown

Title
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 49 0 0 04 Apr 2025
Generate to Discriminate: Expert Routing for Continual Learning Yewon Byun Sanket Vaibhav Mehta Saurabh Garg Emma Strubell Michael Oberst Bryan Wilder Zachary Chase Lipton 76 0 0 31 Dec 2024
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain Hangyul Yoon Doohyuk Jang JungEun Kim Eunho Yang VLM MedIm 70 1 0 25 Nov 2024
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Qixuan Jin Walter Gerych Marzyeh Ghassemi DiffM MedIm 26 0 0 16 Nov 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 25 0 0 02 Oct 2024
Multi-Source and Multi-Sequence Myocardial Pathology Segmentation Using a Cascading Refinement CNN Franz Thaler Darko Stern Gernot Plank Martin Urschler 20 0 0 19 Sep 2024
Adapting to Shifting Correlations with Unlabeled Data Calibration Minh Le Nguyen Alan Q. Wang Heejong Kim Mert R. Sabuncu OOD 16 1 0 09 Sep 2024
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning Gianluca Carloni Sotirios A. Tsaftaris Sara Colantonio OOD 26 1 0 09 Aug 2024
Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems Gabriel Kasmi L. Dubus Yves-Marie Saint Drenan Philippe Blanc 30 0 0 31 Jul 2024
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging Kumail Alhamoud Yasir Ghunaim Motasem Alfarra Thomas Hartvigsen Philip H. S. Torr Bernard Ghanem Adel Bibi Marzyeh Ghassemi OOD 33 2 0 11 Jul 2024
Out-of-Distribution Detection using Neural Activation Prior Weilin Wan Weizhong Zhang Quan Zhou Fan Yi Cheng Jin OODD 37 0 0 28 Feb 2024
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review Daniel Schwabe Katinka Becker Martin Seyferth Andreas Klass Tobias Schäffter 29 20 0 21 Feb 2024
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control Ghada Zamzmi Kesavan Venkatesh Brandon Nelson Smriti Prathapan Paul H Yi B. Sahiner Jana G. Delfino OOD 22 0 0 12 Feb 2024
Designing for Appropriate Reliance: The Roles of AI Uncertainty Presentation, Initial User Decision, and User Demographics in AI-Assisted Decision-Making Shiye Cao Anqi Liu Chien-Ming Huang 30 9 0 11 Jan 2024
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation Christian Weihsbach Christian N. Kruse Alexander Bigalke Mattias P. Heinrich 24 0 0 11 Dec 2023
Medical Image Segmentation with Domain Adaptation: A Survey Yuemeng Li Yong-Xian Fan OOD 21 3 0 03 Nov 2023
Robust Learning via Conditional Prevalence Adjustment Minh Nguyen Alan Q. Wang Heejong Kim M. Sabuncu CML OOD 16 2 0 24 Oct 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
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data Junyao Wang Luke Chen Mohammad Abdullah Al Faruque 23 5 0 07 Aug 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
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 27 2 0 04 May 2023
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation Tom van Sonsbeek M. Worring 15 12 0 22 Feb 2023
Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches Seong-Eun Moon J. Yoon Shinyoung Joo Yoo-Jin Kim J. Bae Seokho Yoon Haanju Yoo Young Min Cho 11 1 0 01 Feb 2023
Preserving Fairness in AI under Domain Shift Serban Stan Mohammad Rostami 13 2 0 29 Jan 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
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 9 30 0 05 Dec 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain V. Cheplygina 8 14 0 08 Nov 2022
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
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis Hao Guan Mingxia Liu OOD 28 11 0 24 Sep 2022
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning? C. Gerloff K. Konrad Jana A. Kruppa M. Schulte-Rüther Vanessa Reindl 11 4 0 17 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
Inter-Semantic Domain Adversarial in Histopathological Images Nicolas Dumas V. Derangère L. Arnould S. Ladoire Louis-Oscar Morel Nathan Vinçon OOD MedIm 11 0 0 22 Jan 2022
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift Tong Xia Jing Han Cecilia Mascolo OOD 11 10 0 16 Dec 2021
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data T. Kalliokoski 19 0 0 24 Oct 2021
DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans Hieu H. Pham D. Do H. Nguyen MedIm 11 16 0 14 Aug 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations A. Puli Lily H. Zhang Eric K. Oermann Rajesh Ranganath OOD OODD 11 48 0 29 Jun 2021
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation Kelei He Wen Ji Tao Zhou Zhuoyuan Li Jing Huo Xin Zhang Yang Gao D. Shen Bing-Bin Zhang Junfeng Zhang OOD 15 7 0 17 May 2021
Structured dataset documentation: a datasheet for CheXpert Christian Garbin Pranav Rajpurkar Jeremy Irvin M. Lungren Oge Marques 9 15 0 07 May 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 21 59 0 20 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
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 26 528 0 18 Feb 2021
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity Zhuoning Yuan Zhishuai Guo Yi Tian Xu Yiming Ying Tianbao Yang FedML 11 35 0 09 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
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation A. Dubey M. T. Young Christopher Stanley D. Lunga Jacob D. Hinkle OOD 21 5 0 19 Dec 2020
Privacy Preserving Recalibration under Domain Shift Rachel Luo Shengjia Zhao Jiaming Song Jonathan Kuck Stefano Ermon Silvio Savarese 6 3 0 21 Aug 2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias Samaneh Abbasi-Sureshjani Ralf Raumanns B. Michels Gerard Schouten V. Cheplygina FaML 25 35 0 20 May 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images Gianluca Maguolo L. Nanni 11 200 0 27 Apr 2020
On the limits of cross-domain generalization in automated X-ray prediction Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 24 127 0 06 Feb 2020
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs Joseph D. Janizek G. Erion A. DeGrave Su-In Lee OOD MedIm 14 29 0 13 Jan 2020
Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks Gourav Modanwal Adithya Vellal Maciej Mazurowski MedIm 11 27 0 16 Dec 2019