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2020 – today
- 2023
[b1]Camille Ruppli:
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). Polytechnic Institute of Paris, Palaiseau, France, 2023- [c3]Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch:
Decoupled Conditional Contrastive Learning with Variable Metadata for Prostate Lesion Detection. MILLanD@MICCAI 2023: 95-105 - [i3]Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch:
Decoupled conditional contrastive learning with variable metadata for prostate lesion detection. CoRR abs/2308.09542 (2023) - 2022
- [c2]Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch:
Optimizing Transformations for Contrastive Learning in a Differentiable Framework. MILLanD@MICCAI 2022: 96-105 - [i2]Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch:
Optimizing transformations for contrastive learning in a differentiable framework. CoRR abs/2207.13367 (2022) - 2020
- [c1]Martin Charachon
, Céline Hudelot, Paul-Henry Cournède, Camille Ruppli, Roberto Ardon:
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. ICPR 2020: 7188-7195 - [i1]Martin Charachon, Céline Hudelot, Paul-Henry Cournède, Camille Ruppli, Roberto Ardon:
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. CoRR abs/2012.07332 (2020)
Coauthor Index
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