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)

Optimizing Transformations for Contrastive Learning in a Differentiable Framework. - Camille Ruppli; Pietro Gori; Roberto Ardon; Isabelle Bloch (MILLanD@MICCAI, 2022)

Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection. - Camille Ruppli; Pietro Gori; Roberto Ardon; Isabelle Bloch (MILLanD@MICCAI, 2023)

Methods and frameworks of annotation cost optimization for deep learning algorithms applied to medical imaging. (Méthodes et systèmes d'optimisation de la charge d'annotation en imagerie médicale pour les algorithmes d'apprentissage). - Camille Ruppli (2023)