Diffusion Models for Counterfactual Generation and Anomaly Detection in
Brain Images

Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images

3 August 2023

Alessandro Fontanella

Joanna M. Wardlaw

Emanuele Trucco

Amos Storkey

Papers citing "Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images"

6 / 6 papers shown

Title
A Survey on Diffusion Models for Anomaly Detection J. Liu Zhenchao Ma Zepu Wang Y. Liu Zehua Wang Peng Sun Liang Song Bo Hu Azzedine Boukerche Victor C.M. Leung DiffM MedIm 39 2 0 20 Jan 2025
Robust image representations with counterfactual contrastive learning Mélanie Roschewitz Fabio De Sousa Ribeiro Tian Xia G. Khara Ben Glocker OOD MedIm 45 2 0 16 Sep 2024
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder Matan Atad D. Schinz Hendrik Moeller Robert Graf Benedikt Wiestler Daniel Rueckert Nassir Navab Jan S. Kirschke Matthias Keicher CML DiffM MedIm 42 3 0 02 Aug 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 43 7 0 29 Mar 2024
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 31 60 0 19 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 63 83 0 11 Jan 2021