Výsledky vyhledávání - "Pinon, Nicolas"

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

Autor: Pinon, Nicolas, Trombetta, Robin, Lartizien, Carole

We study several methods for detecting anomalies in color images, constructed on patch-based auto-encoders. Wecompare the performance of three types of methods based, first, on the error between the original image and its reconstruction,second, on th

Externí odkaz: http://arxiv.org/abs/2307.02495

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

Autor: Pinon, Nicolas, Trombetta, Robin, Lartizien, Carole

Publikováno v: MIDL 2023, Jul 2023, Nashville, United States

Anomaly detection remains a challenging task in neuroimaging when little to no supervision is available and when lesions can be very small or with subtle contrast. Patch-based representation learning has shown powerful representation capacities when

Externí odkaz: http://arxiv.org/abs/2304.08058

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Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients

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

Publikováno v: IEEE 20th International Symposium on Biomedical Imaging (ISBI))., Apr 2023, Cartegena de Indias, Colombia

Neural network-based anomaly detection remains challenging in clinical applications with little or no supervised information and subtle anomalies such as hardly visible brain lesions. Among unsupervised methods, patch-based auto-encoders with their e

Externí odkaz: http://arxiv.org/abs/2302.13593

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

Autor: Muñoz-Ramírez, Verónica, Pinon, Nicolas, Forbes, Florence, Lartizen, Carole, Dojat, Michel

Publikováno v: Machine Learning in Clinical Neuroimaging 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings, Sep 2021, Strasbourg, France. pp.34-43

Although neural networks have proven very successful in a number of medical image analysis applications, their use remains difficult when targeting subtle tasks such as the identification of barely visible brain lesions, especially given the lack of

Externí odkaz: http://arxiv.org/abs/2110.12707

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