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Causality matters in medical imaging

Nature Communications (Nat Commun), 2019

17 December 2019

Daniel Coelho De Castro

Papers citing "Causality matters in medical imaging"

50 / 166 papers shown

Title
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks Christian Posselt Mehmet Yigit Avci Mehmet Yigitsoy Patrick Schünke Christoph Kolbitsch Tobias Schäffter Stefanie Remmele OOD 154 0 0 03 Nov 2023
A Framework for Interpretability in Machine Learning for Medical ImagingIEEE Access (IEEE Access), 2023 Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 396 22 0 02 Oct 2023
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images Connor Jerzak Adel Daoud CML 249 3 0 30 Sep 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCell Reports Medicine (Cell Rep Med), 2023 T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 226 4 0 29 Sep 2023
CoinRun: Solving Goal Misgeneralisation Stuart Armstrong Alexandre Maranhao Oliver Daniels-Koch Ioannis Gkioulekas Rebecca Gormann LRM 161 0 0 28 Sep 2023
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)PLOS Digital Health (PDH), 2023 Wei-Duen Liao J. Voldman OOD CML 177 0 0 20 Sep 2023
Analysing race and sex bias in brain age prediction Carolina Piçarra Ben Glocker 138 14 0 19 Sep 2023
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Nathan G. Drenkow Mathias Unberath 227 5 0 28 Aug 2023
Robustness Stress Testing in Medical Image Classification Mobarakol Islam Zeju Li Ben Glocker OOD 109 7 0 14 Aug 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 287 12 0 31 Jul 2023
Understanding Silent Failures in Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Till J. Bungert L. Kobelke Paul F. Jaeger UQCV 192 6 0 27 Jul 2023
Causal reasoning in typical computer vision tasksScience China Technological Sciences (Sci China Technol Sci), 2023 Kexuan Zhang Qiyu Sun Chaoqiang Zhao Yang Tang CML 330 22 0 26 Jul 2023
The Role of Subgroup Separability in Group-Fair Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Charles Jones Mélanie Roschewitz Ben Glocker OOD 192 14 0 06 Jul 2023
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data Kevin Kasa Graham W. Taylor 310 7 0 03 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal ModelsInternational Conference on Machine Learning (ICML), 2023 Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 211 60 0 27 Jun 2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph KnowledgeNeural Information Processing Systems (NeurIPS), 2023 Abhin Shah Karthikeyan Shanmugam Murat Kocaoglu CML 136 8 0 19 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive AdvancementsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023 Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 193 2 0 11 Jun 2023
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationIEEE Transactions on Automation Science and Engineering (IEEE TASE), 2023 An-Chi Wang Mobarakol Islam Mengya Xu Hongliang Ren OOD 189 18 0 06 Jun 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 297 11 0 02 May 2023
Generative models improve fairness of medical classifiers under distribution shiftsNature Network Boston (NNB), 2023 Ira Ktena Olivia Wiles Isabela Albuquerque Sylvestre-Alvise Rebuffi Ryutaro Tanno ... Danielle Belgrave Pushmeet Kohli Alan Karthikesalingam A. Cemgil Sven Gowal OOD MedIm 373 144 0 18 Apr 2023
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Michael F. Pavlak Nathan G. Drenkow N. Petrick M. M. Farhangi Mathias Unberath MLAU 195 6 0 06 Apr 2023
Cross-modal tumor segmentation using generative blending augmentation and self trainingIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023 Guillaume Sallé Pierre-Henri Conze J. Bert N. Boussion D. Visvikis V. Jaouen MedIm 242 11 0 04 Apr 2023
Causal Image Synthesis of Brain MR in 3D Yujia Li Jiong Shi S. Kevin Zhou CML 3DV MedIm DiffM 180 2 0 25 Mar 2023
Self-distillation for surgical action recognitionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Amine Yamlahi T. Tran Patrick Godau Melanie Schellenberg Dominik Michael ... T. Adler M. Tizabi C. Nwoye N. Padoy Lena Maier-Hein 257 18 0 22 Mar 2023
Deployment of Image Analysis Algorithms under Prevalence ShiftsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Patrick Godau P. Kalinowski E. Christodoulou Annika Reinke M. Tizabi Luciana Ferrer Paul Jäger Lena Maier-Hein 200 14 0 22 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 158 1 0 15 Mar 2023
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues Riccardo Albertoni Sara Colantonio Piotr Skrzypczyñski J. Stefanowski 144 11 0 24 Feb 2023
Bayesian Quantification with Black-Box Estimators Albert Ziegler Paweł Czyż UQCV 105 3 0 17 Feb 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 211 9 0 02 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 182 15 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 454 14 0 29 Jan 2023
ManyDG: Many-domain Generalization for Healthcare ApplicationsInternational Conference on Learning Representations (ICLR), 2023 Chaoqi Yang M. P. M. Brandon Westover Jimeng Sun OOD CML 211 30 0 21 Jan 2023
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge Ricards Marcinkevics Ece Ozkan Julia E. Vogt OOD LM&MA FedML 134 2 0 23 Dec 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene UnderstandingIEEE Transactions on Automation Science and Engineering (T-ASE), 2022 Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 153 2 0 22 Dec 2022
Rethinking Causality-driven Robot Tool Segmentation with Temporal ConstraintsInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022 Hao Ding Jinlin Wu Zhaoshuo Li Mathias Unberath CML 175 10 0 30 Nov 2022
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 397 3 0 24 Nov 2022
Applications of statistical causal inference in software engineeringInformation and Software Technology (IST), 2022 Julien Siebert CML 310 39 0 21 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 241 0 0 28 Oct 2022
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms Hang Chen Keqing Du Xinyu Yang Chenguang Li CML 161 13 0 14 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models Ben Glocker Charles Jones Mélanie Roschewitz S. Winzeck 275 62 0 07 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 239 15 0 23 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 284 14 0 19 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Yongfeng Zhang Xingxu Xie Masashi Sugiyama OOD 262 1 0 03 Aug 2022
Probable Domain Generalization via Quantile Risk MinimizationNeural Information Processing Systems (NeurIPS), 2022 Cian Eastwood Avi Schwarzschild Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 308 82 0 20 Jul 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Helen Zhou FaML 431 0 0 29 Jun 2022
Monitoring Shortcut Learning using Mutual Information Mohammed Adnan Yani Andrew Ioannou Chuan-Yung Tsai A. Galloway H. R. Tizhoosh Graham W. Taylor 146 7 0 27 Jun 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detectionMachine Learning for Biomedical Imaging (MLBI), 2022 Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 427 6 0 22 Jun 2022
Towards a Solution to Bongard Problems: A Causal Approach Salahedine Youssef Matej Zečević Devendra Singh Dhami Kristian Kersting 152 5 0 14 Jun 2022
The Open Kidney Ultrasound Data Set Rohit Singla Cailin Ringstrom Grace Hu V. Lessoway Janice Reid C. Nguan R. Rohling 168 30 0 14 Jun 2022
Image-based Treatment Effect HeterogeneityCLEaR (CLEaR), 2022 Connor Jerzak Fredrik D. Johansson Adel Daoud 444 29 0 13 Jun 2022

Causality matters in medical imaging

Nature Communications (Nat Commun), 2019

17 December 2019

Daniel Coelho De Castro

Papers citing "Causality matters in medical imaging"

50 / 166 papers shown

Title
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks Christian Posselt Mehmet Yigit Avci Mehmet Yigitsoy Patrick Schünke Christoph Kolbitsch Tobias Schäffter Stefanie Remmele OOD 154 0 0 03 Nov 2023
A Framework for Interpretability in Machine Learning for Medical ImagingIEEE Access (IEEE Access), 2023 Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 396 22 0 02 Oct 2023
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images Connor Jerzak Adel Daoud CML 249 3 0 30 Sep 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative PretrainingCell Reports Medicine (Cell Rep Med), 2023 T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 226 4 0 29 Sep 2023
CoinRun: Solving Goal Misgeneralisation Stuart Armstrong Alexandre Maranhao Oliver Daniels-Koch Ioannis Gkioulekas Rebecca Gormann LRM 161 0 0 28 Sep 2023
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER)PLOS Digital Health (PDH), 2023 Wei-Duen Liao J. Voldman OOD CML 177 0 0 20 Sep 2023
Analysing race and sex bias in brain age prediction Carolina Piçarra Ben Glocker 138 14 0 19 Sep 2023
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Nathan G. Drenkow Mathias Unberath 227 5 0 28 Aug 2023
Robustness Stress Testing in Medical Image Classification Mobarakol Islam Zeju Li Ben Glocker OOD 109 7 0 14 Aug 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 287 12 0 31 Jul 2023
Understanding Silent Failures in Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Till J. Bungert L. Kobelke Paul F. Jaeger UQCV 192 6 0 27 Jul 2023
Causal reasoning in typical computer vision tasksScience China Technological Sciences (Sci China Technol Sci), 2023 Kexuan Zhang Qiyu Sun Chaoqiang Zhao Yang Tang CML 330 22 0 26 Jul 2023
The Role of Subgroup Separability in Group-Fair Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Charles Jones Mélanie Roschewitz Ben Glocker OOD 192 14 0 06 Jul 2023
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data Kevin Kasa Graham W. Taylor 310 7 0 03 Jul 2023
High Fidelity Image Counterfactuals with Probabilistic Causal ModelsInternational Conference on Machine Learning (ICML), 2023 Fabio De Sousa Ribeiro Tian Xia M. Monteiro Nick Pawlowski Ben Glocker DiffM 211 60 0 27 Jun 2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph KnowledgeNeural Information Processing Systems (NeurIPS), 2023 Abhin Shah Karthikeyan Shanmugam Murat Kocaoglu CML 136 8 0 19 Jun 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive AdvancementsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023 Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 193 2 0 11 Jun 2023
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationIEEE Transactions on Automation Science and Engineering (IEEE TASE), 2023 An-Chi Wang Mobarakol Islam Mengya Xu Hongliang Ren OOD 189 18 0 06 Jun 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 297 11 0 02 May 2023
Generative models improve fairness of medical classifiers under distribution shiftsNature Network Boston (NNB), 2023 Ira Ktena Olivia Wiles Isabela Albuquerque Sylvestre-Alvise Rebuffi Ryutaro Tanno ... Danielle Belgrave Pushmeet Kohli Alan Karthikesalingam A. Cemgil Sven Gowal OOD MedIm 373 144 0 18 Apr 2023
Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task ModelsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Michael F. Pavlak Nathan G. Drenkow N. Petrick M. M. Farhangi Mathias Unberath MLAU 195 6 0 06 Apr 2023
Cross-modal tumor segmentation using generative blending augmentation and self trainingIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023 Guillaume Sallé Pierre-Henri Conze J. Bert N. Boussion D. Visvikis V. Jaouen MedIm 242 11 0 04 Apr 2023
Causal Image Synthesis of Brain MR in 3D Yujia Li Jiong Shi S. Kevin Zhou CML 3DV MedIm DiffM 180 2 0 25 Mar 2023
Self-distillation for surgical action recognitionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Amine Yamlahi T. Tran Patrick Godau Melanie Schellenberg Dominik Michael ... T. Adler M. Tizabi C. Nwoye N. Padoy Lena Maier-Hein 257 18 0 22 Mar 2023
Deployment of Image Analysis Algorithms under Prevalence ShiftsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Patrick Godau P. Kalinowski E. Christodoulou Annika Reinke M. Tizabi Luciana Ferrer Paul Jäger Lena Maier-Hein 200 14 0 22 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 158 1 0 15 Mar 2023
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues Riccardo Albertoni Sara Colantonio Piotr Skrzypczyñski J. Stefanowski 144 11 0 24 Feb 2023
Bayesian Quantification with Black-Box Estimators Albert Ziegler Paweł Czyż UQCV 105 3 0 17 Feb 2023
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities Zhixuan Chu Jia-Bin Huang Ruopeng Li Wei Chu Sheng Li CML OOD 211 9 0 02 Feb 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 182 15 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 454 14 0 29 Jan 2023
ManyDG: Many-domain Generalization for Healthcare ApplicationsInternational Conference on Learning Representations (ICLR), 2023 Chaoqi Yang M. P. M. Brandon Westover Jimeng Sun OOD CML 211 30 0 21 Jan 2023
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge Ricards Marcinkevics Ece Ozkan Julia E. Vogt OOD LM&MA FedML 134 2 0 23 Dec 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene UnderstandingIEEE Transactions on Automation Science and Engineering (T-ASE), 2022 Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 153 2 0 22 Dec 2022
Rethinking Causality-driven Robot Tool Segmentation with Temporal ConstraintsInternational Journal of Computer Assisted Radiology and Surgery (IJCARS), 2022 Hao Ding Jinlin Wu Zhaoshuo Li Mathias Unberath CML 175 10 0 30 Nov 2022
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 397 3 0 24 Nov 2022
Applications of statistical causal inference in software engineeringInformation and Software Technology (IST), 2022 Julien Siebert CML 310 39 0 21 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 241 0 0 28 Oct 2022
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms Hang Chen Keqing Du Xinyu Yang Chenguang Li CML 161 13 0 14 Sep 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models Ben Glocker Charles Jones Mélanie Roschewitz S. Winzeck 275 62 0 07 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 239 15 0 23 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 284 14 0 19 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Yongfeng Zhang Xingxu Xie Masashi Sugiyama OOD 262 1 0 03 Aug 2022
Probable Domain Generalization via Quantile Risk MinimizationNeural Information Processing Systems (NeurIPS), 2022 Cian Eastwood Avi Schwarzschild Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 308 82 0 20 Jul 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Helen Zhou FaML 431 0 0 29 Jun 2022
Monitoring Shortcut Learning using Mutual Information Mohammed Adnan Yani Andrew Ioannou Chuan-Yung Tsai A. Galloway H. R. Tizhoosh Graham W. Taylor 146 7 0 27 Jun 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detectionMachine Learning for Biomedical Imaging (MLBI), 2022 Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 427 6 0 22 Jun 2022
Towards a Solution to Bongard Problems: A Causal Approach Salahedine Youssef Matej Zečević Devendra Singh Dhami Kristian Kersting 152 5 0 14 Jun 2022
The Open Kidney Ultrasound Data Set Rohit Singla Cailin Ringstrom Grace Hu V. Lessoway Janice Reid C. Nguan R. Rohling 168 30 0 14 Jun 2022
Image-based Treatment Effect HeterogeneityCLEaR (CLEaR), 2022 Connor Jerzak Fredrik D. Johansson Adel Daoud 444 29 0 13 Jun 2022