camille brianceau
6
Documents
Publications
Publications
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Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biologyTranslational Psychiatry, 2026, 16 (1), pp.171. ⟨10.1038/s41398-026-03889-8⟩ |
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Automatic rating of incomplete hippocampal inversions evaluated across multiple cohortsJournal of Machine Learning for Biomedical Imaging, 2024, 2, pp.1-26. ⟨10.59275/j.melba.2024-3d4e⟩ |
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Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PETJournal of Machine Learning for Biomedical Imaging, 2024, Special Issue for Generative Models, 2, pp.611. ⟨10.59275/j.melba.2024-b87a⟩ |
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Recent advances in the open-source ClinicaDL software for reproducible neuroimaging with deep learningSPIE Medical Imaging, Feb 2024, San Diego, United States. pp.519-524, ⟨10.1117/12.3006039⟩ |
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Evaluation of pseudo-healthy reconstruction for anomaly detection in brain FDG PETMIDL 2024 - Medical Imaging with Deep Learning, Jul 2024, Paris, France |
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Unsupervised anomaly detection in 3D brain FDG PET: A benchmark of 17 VAE-based approachesDeep Generative Models workshop at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Oct 2023, Vancouver, Canada |
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