Search Results for author: Geoffroy Oudoumanessah

Found 3 papers, 1 papers with code

Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings

no code implementations12 Mar 2024 Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini

Bayesian inference for complex models with an intractable likelihood can be tackled using algorithms performing many calls to computer simulators.

Bayesian Inference

Towards frugal unsupervised detection of subtle abnormalities in medical imaging

1 code implementation4 Sep 2023 Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes

This online approach is illustrated on the challenging detection of subtle abnormalities in MR brain scans for the follow-up of newly diagnosed Parkinsonian patients.

Unsupervised Anomaly Detection

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

no code implementations27 Feb 2023 Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien

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.

Anomaly Detection Lesion Detection

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