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Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression, , , , , и . NeuroImage: Clinical, (2014)Research and applications: MilxXplore: a web-based system to explore large imaging datasets., , , , , и . JAMIA, 20 (6): 1046-1052 (2013)Automated Plant and Leaf Separation: Application in 3D Meshes of Wheat Plants., , , , , , , и . DICTA, стр. 1-7. IEEE, (2016)Focused shape models for hip joint segmentation in 3D magnetic resonance images., , , , , и . Medical Image Anal., 18 (3): 567-578 (2014)Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan., , , , , , , , , и 9 other автор(ы). NeuroImage, (2020)Trans-ResNet: Integrating Transformers and CNNs for Alzheimer's disease classification., , , , , , и . ISBI, стр. 1-5. IEEE, (2022)Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images., , , , и . MIDL, том 172 из Proceedings of Machine Learning Research, стр. 1360-1374. PMLR, (2022)Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative., , , , , и . CoRR, (2022)Brain microstructure and morphology of very preterm-born infants at term equivalent age: Associations with motor and cognitive outcomes at 1 and 2 years., , , , , и . NeuroImage, (2020)Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative., , , , , , и . ISBI, стр. 881-884. IEEE, (2016)