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Multilevel Survival Modeling With Structured Penalties for Disease Prediction From Imaging Genetics Data.

, and . IEEE J. Biomed. Health Informatics, 26 (2): 798-808 (2022)

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Interpretable and Reliable Artificial Intelligence Systems for Brain Diseases.. ERCIM News, (2019)Learning the spatiotemporal variability in longitudinal shape data sets., , and . Int. J. Comput. Vis., 128 (12): 2873-2896 (2020)ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing., , , , , , and . Comput. Methods Programs Biomed., (2022)A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseases., , , , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Multilevel Survival Modeling With Structured Penalties for Disease Prediction From Imaging Genetics Data., and . IEEE J. Biomed. Health Informatics, 26 (2): 798-808 (2022)Classic machine learning methods., and . CoRR, (2023)Axial multi-layer perceptron architecture for automatic segmentation of choroid plexus in multiple sclerosis., , , , , , , , and . CoRR, (2021)Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation., , , , , , , , , and . Medical Image Anal., (2020)Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490V. SPIE, (2019)Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders., , , and . IPMI, volume 11492 of Lecture Notes in Computer Science, page 195-207. Springer, (2019)