Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. - Martin Charachon; Céline Hudelot; Paul-Henry Cournède; Camille Ruppli; Roberto Ardon (ICPR, 2020)

Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions. - Martin Charachon; Paul-Henry Cournède; Céline Hudelot; Roberto Ardon (iMIMIC/TDA4MedicalData@MICCAI, 2021)

Leveraging conditional generative models in a general explanation framework of classifier decisions. - Martin Charachon; Paul-Henry Cournède; Céline Hudelot; Roberto Ardon (Future Gener. Comput. Syst., 2022)

Designing Visual Explanations of Deep Learning Classifiers Decisions in Medical Image Analysis. (Élaboration d'Explications Visuelles des Décisions de Classifieurs entrainés par Apprentissage Profond en Imagerie Médicale). - Martin Charachon (2023)

Registration of Longitudinal Liver Examinations for Tumor Progress Assessment. - Walid Yassine; Martin Charachon; Céline Hudelot; Roberto Ardon (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)