Nicolas Pinon

According to our database, Nicolas Pinon authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

Unsupervised anomaly detection in neuroimaging: contributions to representation learning and density support estimation in the latent space. (Détection d'anomalies non supervisée en neuro-imagerie : contributions à l'apprentissage de représentation et à l'estimation de support de densité dans l'espace latent).

Nicolas Pinon

PhD thesis, 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

2021

Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients.

Verónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizien, Michel Dojat

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021