Causality matters in medical imaging

17 December 2019

Daniel Coelho De Castro

Papers citing "Causality matters in medical imaging"

50 / 51 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 31 0 0 11 May 2025
Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries Almuthanna Alageel Sergio Maffeis Imperial College London 41 2 0 07 Feb 2025
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 146 1 0 05 Oct 2024
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation Kate Čevora Ben Glocker Wenjia Bai OOD 26 0 0 08 Aug 2024
Mitigating annotation shift in cancer classification using single image generative models Marta Buetas Arcas Richard Osuala Karim Lekadir Oliver Díaz 38 0 0 30 May 2024
Disentangling representations of retinal images with generative models Sarah Muller Lisa M. Koch Hendrik P. A. Lensch Philipp Berens MedIm 32 3 0 29 Feb 2024
Artificial Intelligence for Digital and Computational Pathology Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 30 130 0 13 Dec 2023
Learning and DiSentangling Patient Static Information from Time-series Electronic HEalth Record (STEER) Wei-Duen Liao J. Voldman OOD CML 9 0 0 20 Sep 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 44 9 0 31 Jul 2023
Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data Kevin Kasa Graham W. Taylor 32 2 0 03 Jul 2023
Unraveling the Interconnected Axes of Heterogeneity in Machine Learning for Democratic and Inclusive Advancements Maryam Molamohammadi Afaf Taik Nicolas Le Roux G. Farnadi 29 1 0 11 Jun 2023
Self-distillation for surgical action recognition Amine Yamlahi T. Tran Patrick Godau Melanie Schellenberg Dominik Michael ... T. Adler M. Tizabi C. Nwoye N. Padoy Lena Maier-Hein 38 7 0 22 Mar 2023
Deployment of Image Analysis Algorithms under Prevalence Shifts Patrick Godau P. Kalinowski E. Christodoulou Annika Reinke M. Tizabi Luciana Ferrer Paul Jäger Lena Maier-Hein 42 9 0 22 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 21 1 0 15 Mar 2023
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 38 11 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 Anton van den Hengel AI4CE 55 11 0 29 Jan 2023
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 31 1 0 22 Dec 2022
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints Hao Ding J. Wu Zhaoshuo Li Mathias Unberath CML 38 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 41 2 0 24 Nov 2022
Applications of statistical causal inference in software engineering Julien Siebert CML 30 31 0 21 Nov 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 26 0 0 28 Oct 2022
Risk of Bias in Chest Radiography Deep Learning Foundation Models Ben Glocker Charles Jones Mélanie Roschewitz S. Winzeck 23 35 0 07 Sep 2022
Deep Structural Causal Shape Models Rajat Rasal Daniel Coelho De Castro Nick Pawlowski Ben Glocker 3DV MedIm 30 12 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 36 12 0 19 Aug 2022
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift Yivan Zhang Jindong Wang Xingxu Xie Masashi Sugiyama OOD 42 1 0 03 Aug 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 21 4 0 22 Jun 2022
Towards a Solution to Bongard Problems: A Causal Approach Salahedine Youssef Matej Zečević Devendra Singh Dhami Kristian Kersting 24 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 14 12 0 14 Jun 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 32 20 0 13 Jun 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 32 2 0 10 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 29 2 0 06 Jun 2022
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data Dimitris Spathis Stephanie L. Hyland OOD CML 27 4 0 26 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 42 109 0 23 May 2022
Rethinking Machine Learning Model Evaluation in Pathology Syed Ashar Javed Dinkar Juyal Zahil Shanis S. Chakraborty Harsha Pokkalla Aaditya (Adi) Prakash LM&MA 25 12 0 11 Apr 2022
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification Zuzanna Szafranowska Richard Osuala Bennet Breier Kaisar Kushibar Karim Lekadir Oliver Díaz MedIm 13 13 0 08 Mar 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images Hongzhi Zhu R. Rohling Septimiu Salcudean 19 5 0 15 Feb 2022
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms Mélanie Bernhardt Charles Jones Ben Glocker 14 38 0 19 Jan 2022
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Cheng Ouyang C. L. P. Chen Surui Li Zeju Li C. Qin Wenjia Bai Daniel Rueckert OOD 30 155 0 24 Nov 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 29 9 0 27 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 46 72 0 29 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 46 42 0 06 Sep 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 42 45 0 23 Aug 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 29 636 0 22 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 25 62 0 07 Jul 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization Nanyang Ye Kaican Li Haoyue Bai Runpeng Yu Lanqing Hong Fengwei Zhou Zhenguo Li Jun Zhu CML OOD 40 106 0 07 Jun 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 58 0 20 Mar 2021
Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems U. Mahmood Robik Shrestha D. Bates L. Mannelli G. Corrias Y. Erdi Christopher Kanan 16 16 0 04 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 20 269 0 04 Dec 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 35 104 0 03 Nov 2020