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 / 165 papers shown

Title
Causal Graph Neural Networks for Healthcare Munib Mesinovic Max Buhlan Tingting Zhu OOD CML AI4CE 293 0 0 04 Nov 2025
Graph Distance Based on Cause-Effect Estimands with Latents Zhufeng Li Niki Kilbertus CML 217 0 0 28 Oct 2025
When are radiology reports useful for training medical image classifiers? Herman Bergström Zhongqi Yue Fredrik D. Johansson 83 0 0 28 Oct 2025
Measure-Theoretic Anti-Causal Representation Learning Arman Behnam Binghui Wang OOD CML 144 0 0 16 Oct 2025
Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation Chengpeng Hu Calvin Yu-Chian Chen 84 0 0 14 Oct 2025
Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries Marius Dragoi Ioana Pintilie Florin Gogianu Florin Brad OffRL LRM 215 0 0 09 Oct 2025
Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine ApplicationsComputers in Biology and Medicine (Comput. Biol. Med.), 2025 Ahmed Kabil Ghada Khoriba Mina Yousef Essam A. Rashed 96 0 0 01 Oct 2025
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection YingSheng Wang Shuo Lu Jian Liang A. Zheng Ran He OODD 174 0 0 02 Sep 2025
Latent Variable Modeling for Robust Causal Effect Estimation Tetsuro Morimura Tatsushi Oka Yugo Suzuki Daisuke Moriwaki CML 100 0 0 27 Aug 2025
Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? Ayush Roy Samin Enam Jun Xia Vishnu Suresh Lokhande Won Hwa Kim OOD 97 0 0 25 Jul 2025
CAPRI-CT: Causal Analysis and Predictive Reasoning for Image Quality Optimization in Computed Tomography Sneha George Gnanakalavathy Hairil Abdul Razak Robert Meertens Jonathan E. Fieldsend Xujiong Ye Mohammed M. Abdelsamea 90 0 0 23 Jul 2025
Causal Representation Learning with Observational Grouping for CXR Classification Rajat Rasal Avinash Kori Ben Glocker OOD CML 201 0 0 25 Jun 2025
Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models Tian Xia Fabio De Sousa Ribeiro Rajat Rasal Avinash Kori Raghav Mehta Ben Glocker DiffM 273 2 0 17 Jun 2025
"Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift Harvineet Singh Fan Xia Alexej Gossmann Andrew Chuang Julian C. Hong Jean Feng 157 0 0 31 May 2025
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 248 0 0 11 May 2025
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding Marlies Hafer Alexander Marx CML 257 0 0 26 Mar 2025
The potential role of AI agents in transforming nuclear medicine research and cancer management in India Rajat Vashistha Arif Gulzar Parveen Kundu Punit Sharma Mark Brunstein Viktor Vegh AI4CE 173 1 0 10 Mar 2025
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets H. Q. Vo Samira Zare S. Ly Lin Wang Chika F. Ezeana Xiaohui Yu Kelvin K. Wong Stephen T. C. Wong H. Nguyen OOD 147 0 0 09 Mar 2025
Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation Zhiqiang Shen Peng Cao Jinzhu Yang Osmar R. Zaiane Z. Chen OOD 199 0 0 28 Feb 2025
Your Assumed DAG is Wrong and Here's How To Deal With ItCLEaR (CLEaR), 2025 Kirtan Padh Zhufeng Li Cecilia Casolo Niki Kilbertus CML 348 0 0 24 Feb 2025
Robustness and Cybersecurity in the EU Artificial Intelligence ActConference on Fairness, Accountability and Transparency (FAccT), 2025 Henrik Nolte Miriam Rateike Michèle Finck 308 6 0 22 Feb 2025
Since Faithfulness Fails: The Performance Limits of Neural Causal Discovery Mateusz Olko Mateusz Gajewski Joanna Wojciechowska Mikołaj Morzy Piotr Sankowski Piotr Miłoś CML 214 2 0 22 Feb 2025
Detecting APT Malware Command and Control over HTTP(S) Using Contextual SummariesInformation Security Conference (IS), 2025 Almuthanna Alageel Sergio Maffeis Imperial College London 171 5 0 07 Feb 2025
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care Yuxiao Cheng Xinxin Song Ziqian Wang Qin Zhong Kunlun He J. Suo OOD CML 233 0 0 04 Feb 2025
MACAW: A Causal Generative Model for Medical Imaging Vibujithan Vigneshwaran Erik Ohara Matthias Wilms Nils D. Forkert OOD CML MedIm 233 1 0 03 Dec 2024
Invariant Shape Representation Learning For Image ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Tonmoy Hossain Jing Ma Jundong Li Miaomiao Zhang 285 5 0 19 Nov 2024
Automatic dataset shift identification to support safe deployment of medical imaging AIInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Mélanie Roschewitz Raghav Mehta Charles Jones Ben Glocker OOD 245 2 0 12 Nov 2024
CaTs and DAGs: Integrating Directed Acyclic Graphs with Transformers and Fully-Connected Neural Networks for Causally Constrained Predictions M. Vowels Mathieu Rochat S. Akbari CML GNN OOD 528 0 0 18 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive TasksInternational Conference on Learning Representations (ICLR), 2024 Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 584 5 0 05 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 304 24 0 03 Oct 2024
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey Andrea Prenner Bernhard Kainz 183 1 0 26 Sep 2024
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning Gianluca Carloni Sotirios A. Tsaftaris Sara Colantonio OOD 202 2 0 09 Aug 2024
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation Kate Čevora Ben Glocker Wenjia Bai OOD 147 4 0 08 Aug 2024
Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging Sarah Muller Louisa Fay Lisa M. Koch S. Gatidis Thomas Kustner Philipp Berens CML OOD 191 2 0 26 Jul 2024
Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities Nhat Dinh Minh Le Ciyue Shen Chintan Shah Blake Martin Daniel Shenker ... Jennifer A. Hipp S. Grullon J. Abel Harsha Pokkalla Dinkar Juyal 95 0 0 15 Jul 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 148 13 0 30 May 2024
Mitigating annotation shift in cancer classification using single image generative models Marta Buetas Arcas Richard Osuala Karim Lekadir Oliver Díaz 154 0 0 30 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection Lin Zhu Yifeng Yang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye VLM 205 9 0 26 May 2024
Non-negative Subspace Feature Representation for Few-shot Learning in Medical ImagingImage and Vision Computing (IVC), 2024 Keqiang Fan Xiaohao Cai M. Niranjan 183 0 0 03 Apr 2024
Semi-Supervised Learning for Deep Causal Generative Models Yasin Ibrahim Hermione Warr Konstantinos Kamnitsas OOD MedIm CML GAN 213 3 0 27 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Tianyu Wang Xingxuan Zhang Jiayun Wu Peng Cui OOD 261 17 0 04 Mar 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 287 4 0 29 Feb 2024
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models Alvaro Ribot C. Squires Caroline Uhler 219 2 0 22 Feb 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 457 59 0 16 Feb 2024
Modular Learning of Deep Causal Generative Models for High-dimensional Causal InferenceInternational Conference on Machine Learning (ICML), 2024 Md Musfiqur Rahman Murat Kocaoglu OOD 182 8 0 02 Jan 2024
RadEdit: stress-testing biomedical vision models via diffusion image editing Fernando Pérez-García Sam Bond-Taylor Pedro P. Sanchez B. V. Breugel Daniel Coelho De Castro ... M. Lungren A. Nori Javier Alvarez-Valle Ozan Oktay Maximilian Ilse MedIm 351 21 0 20 Dec 2023
Artificial Intelligence for Digital and Computational PathologyNature Reviews Bioengineering (Nat Rev Bioeng), 2023 Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 201 234 0 13 Dec 2023
Exploring Causal Learning through Graph Neural Networks: An In-depth Review Simi Job Xiaohui Tao Taotao Cai Haoran Xie Lin Li Jianming Yong Qing Li CML AI4CE 177 15 0 25 Nov 2023
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model Raphael Schäfer Till Nicke Henning Höfener Annkristin Lange Dorit Merhof Friedrich Feuerhake Volkmar Schulz Johannes Lotz Fabian Kiessling VLM 107 44 0 16 Nov 2023
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 142 0 0 03 Nov 2023