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
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa Connor Jerzak Fredrik D. Johansson Adel Daoud CML 317 6 0 13 Jun 2022
A Review of Causality for Learning Algorithms in Medical Image AnalysisMachine Learning for Biomedical Imaging (MLBI), 2022 Athanasios Vlontzos Daniel Rueckert Bernhard Kainz OOD 318 22 0 11 Jun 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social ScientistsPsychological methods (Psychol Methods), 2022 M. Vowels CML 224 2 0 10 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 162 2 0 06 Jun 2022
MaxStyle: Adversarial Style Composition for Robust Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Chong Chen Zeju Li Cheng Ouyang Matthew Sinclair Wenjia Bai Daniel Rueckert OOD 221 45 0 02 Jun 2022
A Reduction to Binary Approach for Debiasing Multiclass DatasetsNeural Information Processing Systems (NeurIPS), 2022 Ibrahim Alabdulmohsin Jessica Schrouff Oluwasanmi Koyejo FaML MQ 240 11 0 31 May 2022
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data Dimitris Spathis Stephanie L. Hyland OOD CML 184 5 0 26 May 2022
Causal Machine Learning for Healthcare and Precision MedicineRoyal Society Open Science (RSOS), 2022 Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 283 172 0 23 May 2022
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics Milena Pavlović Ghadi S. Al Hajj Chakravarthi Kanduri J. Pensar Mollie E. Wood L. Sollid Victor Greiff G. K. Sandve CML OOD AI4CE 177 6 0 20 Apr 2022
Continual Hippocampus Segmentation with Transformers Amin Ranem Camila González Anirban Mukhopadhyay MedIm CLL 103 20 0 17 Apr 2022
NICO++: Towards Better Benchmarking for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2022 Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 266 99 0 17 Apr 2022
Rethinking Machine Learning Model Evaluation in Pathology Syed Ashar Javed Dinkar Juyal Zahil Shanis S. Chakraborty Harsha Pokkalla Aaditya (Adi) Prakash LM&MA 178 13 0 11 Apr 2022
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging DatasetsComputer Vision and Pattern Recognition (CVPR), 2022 Vishnu Suresh Lokhande Rudrasis Chakraborty Sathya Ravi Vikas Singh 127 5 0 29 Mar 2022
CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics DataInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Hao Ding Jintan Zhang Peter Kazanzides Jinlin Wu Mathias Unberath 209 20 0 15 Mar 2022
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch ClassificationInternational Workshop on Breast Imaging (IWBI), 2022 Zuzanna Szafranowska Richard Osuala Bennet Breier Kaisar Kushibar Karim Lekadir Oliver Díaz MedIm 216 15 0 08 Mar 2022
Translational Lung Imaging Analysis Through Disentangled Representations Pedro M. Gordaliza J. J. Vaquero A. Muñoz-Barrutia MedIm 113 3 0 03 Mar 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images Hongzhi Zhu R. Rohling Septimiu Salcudean 102 9 0 15 Feb 2022
A Field of Experts Prior for Adapting Neural Networks at Test Time Neerav Karani G. Brunner Ertunc Erdil Simin Fei K. Tezcan K. Chaitanya E. Konukoglu OOD 188 2 0 10 Feb 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settingsNeural Information Processing Systems (NeurIPS), 2022 Jessica Schrouff Natalie Harris Oluwasanmi Koyejo Ibrahim Alabdulmohsin Eva Schnider ... Vivek Natarajan Alan Karthikesalingam Katherine A. Heller Silvia Chiappa Alexander DÁmour OOD 400 67 0 02 Feb 2022
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithmsNature Network Boston (NNB), 2022 Mélanie Bernhardt Charles Jones Ben Glocker 93 43 0 19 Jan 2022
A Kernel Test for Causal Association via Noise Contrastive Backdoor AdjustmentJournal of machine learning research (JMLR), 2021 Robert Hu Dino Sejdinovic R. Evans CML 180 4 0 25 Nov 2021
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics Matthias Perkonigg J. Hofmanninger Christian Herold H. Prosch Georg Langs OOD 136 6 0 25 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Cheng Ouyang Chen Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 392 201 0 24 Nov 2021
One-shot Weakly-Supervised Segmentation in Medical Images Wenhui Lei Q. Su Ran Gu Na Wang Xinglong Liu Guotai Wang Xiaofan Zhang Shaoting Zhang 183 2 0 21 Nov 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 342 10 0 27 Oct 2021
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray dataIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021 T. Kalliokoski 164 0 0 24 Oct 2021
A Fine-Grained Analysis on Distribution ShiftInternational Conference on Learning Representations (ICLR), 2021 Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 565 240 0 21 Oct 2021
DBSegment: Fast and robust segmentation of deep brain structures -- Evaluation of transportability across acquisition domains Mehri Baniasadi Mikkel V Petersen J. Gonçalves A. Horn Vanja Vlasov F. Hertel A. Husch OOD 180 1 0 18 Oct 2021
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 278 53 0 01 Oct 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation Alexandros Karargyris Renato Umeton Micah J. Sheller Alejandro Aristizabal Johnu George ... Poonam Yadav Michael Rosenthal M. Loda Jason M. Johnson Peter Mattson FedML 224 122 0 29 Sep 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging Karim Lekadira Richard Osuala C. Gallin Noussair Lazrak Kaisar Kushibar ... Nickolas Papanikolaou Zohaib Salahuddin Henry C. Woodruff Philippe Lambin L. Martí-Bonmatí AI4TS 323 79 0 20 Sep 2021
Learning Neural Causal Models with Active Interventions Nino Scherrer O. Bilaniuk Yashas Annadani Anirudh Goyal Patrick Schwab Bernhard Schölkopf Michael C. Mozer Yoshua Bengio Stefan Bauer Nan Rosemary Ke CML 285 50 0 06 Sep 2021
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? Antoine Pierre Sanner Camila González Anirban Mukhopadhyay OOD 67 17 0 03 Sep 2021
Learning Disentangled Representations in the Imaging Domain Xiao Liu Pedro Sanchez Spyridon Thermos Alison Q. OÑeil Sotirios A. Tsaftaris OOD DRL 655 84 0 26 Aug 2021
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution ShiftsMachine Learning for Biomedical Imaging (MLBI), 2021 Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 339 7 0 26 Aug 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 150 54 0 23 Aug 2021
Exploring Deep Registration Latent Spaces Théo Estienne Maria Vakalopoulou Stergios Christodoulidis Enzo Battistella T. Henry ... A. Leroy G. Chassagnon M. Revel Nikos Paragios Eric Deutsch 176 1 0 23 Jul 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 199 845 0 22 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and SolutionsIEEE Access (IEEE Access), 2021 Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 241 35 0 20 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 321 56 0 20 Jul 2021
Transductive image segmentation: Self-training and effect of uncertainty estimation Konstantinos Kamnitsas S. Winzeck E. Kornaropoulos Daniel Whitehouse Cameron Englman ... David Menon Daniel Rueckert T. Das Virginia Newcombe Ben Glocker MedIm 101 4 0 19 Jul 2021
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift Gregory Filbrandt Konstantinos Kamnitsas David Bernstein Alexandra N. Taylor Ben Glocker 146 3 0 13 Jul 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease Akis Linardos Kaisar Kushibar S. Walsh P. Gkontra Karim Lekadir FedML 161 91 0 07 Jul 2021
Searching for consistent associations with a multi-environment knockoff filter Shuangning Li Matteo Sesia Yaniv Romano Emmanuel Candès C. Sabatti 179 13 0 08 Jun 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution GeneralizationComputer Vision and Pattern Recognition (CVPR), 2021 Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 233 128 0 07 Jun 2021
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation Rabindra Khadka Debesh Jha Steven Hicks Vajira Thambawita Michael A. Riegler Sharib Ali Pål Halvorsen 135 60 0 06 Jun 2021
An Interpretable Approach to Automated Severity Scoring in Pelvic TraumaInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 A. Zapaishchykova D. Dreizin Zhaoshuo Li Jinlin Wu S. F. Roohi Mathias Unberath 81 14 0 21 May 2021
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss E. Ferrari D. Bacciu FaML AI4CE 146 6 0 13 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 150 9 0 21 Apr 2021
Explainability-aided Domain Generalization for Image Classification Robin M. Schmidt FAtt OOD 167 2 0 05 Apr 2021