High Fidelity Image Counterfactuals with Probabilistic Causal Models

27 June 2023

Fabio De Sousa Ribeiro

Tian Xia

Papers citing "High Fidelity Image Counterfactuals with Probabilistic Causal Models"

33 / 33 papers shown

Title
Causal Disentanglement for Robust Long-tail Medical Image Generation Weizhi Nie Zichun Zhang Weijie Wang Bruno Lepri Anan Liu Nicu Seb DiffM MedIm OOD CML 41 0 0 20 Apr 2025
Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction Yucheng Lu Shunxin Wang Dovile Juodelyte V. Cheplygina MedIm 29 0 0 14 Apr 2025
Leveraging Vision-Language Foundation Models to Reveal Hidden Image-Attribute Relationships in Medical Imaging Amar Kumar Anita Kriz Barak Pertzov Tal Arbel MedIm 51 0 0 30 Mar 2025
PRISM: High-Resolution & Precise Counterfactual Medical Image Generation using Language-guided Stable Diffusion Amar Kumar Anita Kriz Mohammad Havaei Tal Arbel MedIm 38 2 0 28 Feb 2025
Explaining 3D Computed Tomography Classifiers with Counterfactuals Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari MedIm 82 0 0 11 Feb 2025
Learning Counterfactual Outcomes Under Rank Preservation Peng Wu Haoxuan Li Chunyuan Zheng Yan Zeng Jiawei Chen Yang Liu Ruocheng Guo K. Zhang 59 0 0 10 Feb 2025
SSL Framework for Causal Inconsistency between Structures and Representations Hang Chen Xinyu Yang Keqing Du Wenya Wang 50 2 0 03 Jan 2025
MACAW: A Causal Generative Model for Medical Imaging Vibujithan Vigneshwaran Erik Ohara Matthias Wilms Nils D. Forkert OOD CML MedIm 67 0 0 03 Dec 2024
Counterfactual Generative Modeling with Variational Causal Inference Yulun Wu Louie McConnell Claudia Iriondo CML BDL 24 0 0 16 Oct 2024
Robust image representations with counterfactual contrastive learning Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD MedIm 35 2 0 16 Sep 2024
Latent 3D Brain MRI Counterfactual Wei Peng Tian Xia Fabio De Sousa Ribeiro Tomas Bosschieter Ehsan Adeli Qingyu Zhao Ben Glocker K. Pohl CML MedIm 39 1 0 09 Sep 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 41 6 0 29 Mar 2024
Semi-Supervised Learning for Deep Causal Generative Models Yasin Ibrahim Hermione Warr Konstantinos Kamnitsas OOD MedIm CML GAN 18 1 0 27 Mar 2024
Counterfactual contrastive learning: robust representations via causal image synthesis Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD 31 3 0 14 Mar 2024
Mitigating attribute amplification in counterfactual image generation Tian Xia Mélanie Roschewitz Fabio De Sousa Ribeiro Charles Jones Ben Glocker CML MedIm 37 1 0 14 Mar 2024
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment Paraskevas Pegios Manxi Lin Nina Weng M. B. S. Svendsen Zahra Bashir Siavash Bigdeli Anders Christensen M. Tolsgaard Aasa Feragen MedIm 50 5 0 13 Mar 2024
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman Matt Jordan Murat Kocaoglu DiffM CML 17 0 0 12 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 25 5 0 07 Feb 2024
Natural Counterfactuals With Necessary Backtracking Guang-Yuan Hao Jiji Zhang Biwei Huang Hao Wang Kun Zhang 26 0 0 02 Feb 2024
Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets Hang Chen Xinyu Yang Keqing Du CML 26 2 0 16 Jan 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 17 0 0 11 Jan 2024
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference Md Musfiqur Rahman Murat Kocaoglu OOD 22 2 0 02 Jan 2024
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation Nina Weng Paraskevas Pegios Eike Petersen Aasa Feragen Siavash Bigdeli MedIm CML 24 8 0 21 Dec 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 25 7 0 17 Oct 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 14 3 0 29 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 25 9 0 31 Jul 2023
Advancing Counterfactual Inference through Nonlinear Quantile Regression Shaoan Xie Biwei Huang Bin Gu Tongliang Liu Kun Zhang 16 1 0 09 Jun 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 27 9 0 02 May 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Biwei Huang Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 42 11 0 29 Jan 2023
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 325 1,570 0 10 Nov 2021
Relating Graph Neural Networks to Structural Causal Models Matej Zečević D. Dhami Petar Velickovic Kristian Kersting AI4CE CML 55 53 0 09 Sep 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016