CV de Robin Trombetta

Robin Trombetta

7

Documents

Publications

Publications

	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 et al. Computer Methods and Programs in Biomedicine, 2025, 265, pp.108727. ⟨10.1016/j.cmpb.2025.108727⟩ Article dans une revue hal-05061806v1

	Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization Robin Trombetta , Carole Lartizien Learning From Small Data (LFSD), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML) Workshop, Sep 2025, Porto, Portugal. ⟨10.48550/arXiv.2508.12927⟩ Communication dans un congrès hal-05397692v1
	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 Medical Imaging with Deep Learning, Jul 2024, Paris, France Communication dans un congrès hal-04764167v1
	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 MIDL 2023, Jul 2023, Nashville, United States Communication dans un congrès hal-04067715v1
	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 et al. ISBI 2023 - IEEE 20th International Symposium on Biomedical Imaging, Apr 2023, Cartegena de Indias, Colombia. pp.1-5, ⟨10.1109/ISBI53787.2023.10230351⟩ Communication dans un congrès hal-03998623v1
	Détection d'anomalies dans l'espace image ou l'espace latent d'auto-encodeurs par patch pour l'analyse d'images industrielles Nicolas Pinon , Robin Trombetta , Carole Lartizien GRETSI 2023 : XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France Communication dans un congrès hal-04147526v1

	OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection Nicolas Pinon , Robin Trombetta , Carole Lartizien 2026 Pré-publication, Document de travail hal-05164029v3

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