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Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data.

, , , , and . NeuroImage, (2020)

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Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data., , , and . CoRR, (2019)Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer., , , , , , and . CaPTion@MICCAI, volume 14295 of Lecture Notes in Computer Science, page 68-82. Springer, (2023)Monotonic Gaussian Process for spatio-temporal disease progression modeling in brain imaging data., , , , and . NeuroImage, (2020)Modelling and Simulating the Progression of Alzheimer's Disease through the Analysis of Multi-modal Neuroimages and Clinical Data. (Modélisation et Simulation de l'Évolution de la Maladie d'Alzheimer à partir de l'Analyse d'Images Cérébrales Multimodales et de Données Cliniques).. University of Côte d'Azur, Nice, France, (2021)Ensembling Voxel-Based and Box-Based Model Predictions for Robust Lesion Detection., , , , , and . AMAI@MICCAI, volume 14313 of Lecture Notes in Computer Science, page 42-51. Springer, (2023)Learning Shape Distributions from Large Databases of Healthy Organs: Applications to Zero-Shot and Few-Shot Abnormal Pancreas Detection., , , , , , and . MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 464-473. Springer, (2022)Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification., , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 489-497. Springer, (2017)