Présentation
Publications
Publications
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GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection modelsComputer Methods and Programs in Biomedicine, 2025, 265, pp.108727. ⟨10.1016/j.cmpb.2025.108727⟩ |
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Improving motion‐mask segmentation in thoracic CT with multiplanar U‐netsMedical Physics : The international journal of medical physics research and practice, 2022, 49 (1), pp.420-431. ⟨10.1002/mp.15347⟩ |
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OCSVM-Guided Representation Learning for Unsupervised Anomaly Detection2025 |
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Unsupervised anomaly detection in neuroimaging : Contributions to representation learning and density support estimation in the latent spaceMedical Imaging. INSA de Lyon, 2024. English. ⟨NNT : 2024ISAL0031⟩ |
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Unsupervised anomaly detection in neuroimaging: contributions to representation learning and density support estimation in the latent spaceArtificial Intelligence [cs.AI]. INSA Lyon, 2024. English. ⟨NNT : 2024ISAL0031⟩ |
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