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09/04/2023
Towards frugal unsupervised detection of subtle abnormalities in medical imaging
Anomaly detection in medical imaging is a challenging task in contexts w...
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07/04/2023
Anomaly detection in image or latent space of patch-based auto-encoders for industrial image analysis
We study several methods for detecting anomalies in color images, constr...
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04/17/2023
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities
Anomaly detection remains a challenging task in neuroimaging when little...
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02/27/2023
Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients
Neural network-based anomaly detection remains challenging in clinical a...
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11/23/2022
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
Multiparametric magnetic resonance imaging (mp-MRI) has shown excellent ...
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07/06/2022
Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it?
To our knowledge, all deep computer-aided detection and diagnosis (CAD) ...
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04/04/2020
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography
Segmentation of cardiac structures is one of the fundamental steps to es...
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06/28/2018
