Robin Trombetta

According to our database, Robin Trombetta authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models.

Daria Zotova, Nicolas Pinon, Robin Trombetta, Romain Bouet, Julien Jung, Carole Lartizien

Comput. Methods Programs Biomed., 2025

2024

Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains.

Robin Trombetta, Olivier Rouvière, Carole Lartizien

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

Anomaly detection in image or latent space of patch-based auto-encoders for industrial image analysis.

Nicolas Pinon, Robin Trombetta, Carole Lartizien

CoRR, 2023

One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities.

Nicolas Pinon, Robin Trombetta, Carole Lartizien

Proceedings of the Medical Imaging with Deep Learning, 2023

Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients.

Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023