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Computer-Assisted Diagnosis of Genetic Syndromes Using 3D Facial Surface Scans.. University of Calgary, Alberta, Canada, (2023)base-search.net (ftunivcalgary:oai:prism.ucalgary.ca:1880/115952).Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images., , , , , , , , , and . Sensors, 20 (11): 3171 (2020)Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model., , , , and . MAD@MICCAI, volume 13823 of Lecture Notes in Computer Science, page 95-107. Springer, (2022)Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging., , , , , , and . IEEE Trans. Medical Imaging, 41 (9): 2331-2347 (2022)Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models., , , , , , , , and . Artif. Intell. Medicine, (2022)A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis., , , , , , , , and . IEEE J. Biomed. Health Informatics, 26 (7): 3229-3239 (2022)Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows., , , , , , and . MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 23-33. Springer, (2020)Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows., , , , , and . MLCN@MICCAI, volume 13001 of Lecture Notes in Computer Science, page 23-33. Springer, (2021)