A generative adversarial optimization strategy for predicting counterfactual trajectories of grey matter atrophy

This study introduces a novel counterfactual generation method that provides interpretable, anatomically grounded explanations of MS progression. The framework serves as a powerful tool for hypothesis generation and model validation in biomedical imaging studies, particularly where understanding disease mechanisms is crucial.

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Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2025-10-13
DOI
https://doi.org/10.1016/j.cmpb.2025.109095
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A generative adversarial optimization strategy for predicting counterfactual trajectories of grey matter atrophy

Berardino Barile, Dominique Sappey‐Marinier, Thomas Grenier, Enyi Chen
Computer Methods and Programs in Biomedicine
Functional Brain Connectivity Studies
article

A generative adversarial optimization strategy for predicting counterfactual trajectories of grey matter atrophy

Berardino Barile, Dominique Sappey‐Marinier, Thomas Grenier, Enyi Chen
article en

Abstract

This study introduces a novel counterfactual generation method that provides interpretable, anatomically grounded explanations of MS progression. The framework serves as a powerful tool for hypothesis generation and model validation in biomedical imaging studies, particularly where understanding disease mechanisms is crucial.

Computer Methods and Programs in BiomedicineVol. 273
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut National des Sciences Appliquées de Lyon (FR), McGill University (CA)
Openalex Percentile: Top 71%
Functional Brain Connectivity Studies
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A generative adversarial optimization strategy for predicting counterfactual trajectories of grey matter atrophy — Berardino Barile, Dominique Sappey‐Marinier, et al. · Computer Methods and Programs in Biomedicine (2025) | TGRS Research Map | TGRS