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Learning the spatiotemporal variability in longitudinal shape data sets., , and . Int. J. Comput. Vis., 128 (12): 2873-2896 (2020)Benchmarking off-the-shelf statistical shape modeling tools in clinical applications., , , , , , , , , and 2 other author(s). Medical Image Anal., (2022)Improving the Automatic Segmentation of Elongated Organs Using Geometrical Priors., , , , , and . ISBI, page 1-4. IEEE, (2022)Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance., , , , , , , , , and . ISBI, page 1159-1163. IEEE, (2021)Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease., , , , , , and . Comput. Biol. Medicine, (2022)Auto-Encoding Meshes of any Topology with the Current-Splatting and Exponentiation Layers., , and . ICCV Workshops, page 4014-4023. IEEE, (2019)Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review., , , , , , , , , and 7 other author(s). Medical Image Anal., (2021)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)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)Benchmarking off-the-shelf statistical shape modeling tools in clinical applications., , , , , , , , , and 1 other author(s). CoRR, (2020)