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A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks., , , , , , , и . NeuroImage, (2018)Quantitative analysis of the corpus callosum in children with cerebral palsy and developmental delay: correlation with cerebral white matter volume., , , , и . Pediatr Radiol, 35 (12): 1199--1207 (декабря 2005)Evaluating Brain Age Models in Adolescents with CHD., , и . AMIA, AMIA, (2021)Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure., , , , , , , , , и 21 other автор(ы). NeuroImage, (2024)Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification., , , , , и . MLMI@MICCAI, том 12966 из Lecture Notes in Computer Science, стр. 555-564. Springer, (2021)Medical knowledge-guided deep learning for mammographic breast density classification., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Using Prealignment in Global Volume Registration to Decrease Motion in Neonatal Resting-State fMRI., , , , и . AMIA, AMIA, (2018)Bayesian automated cortical segmentation for neonatal MRI., , , , , , , , , и . SIPAIM, том 10572 из SPIE Proceedings, стр. 105720R. SPIE, (2017)Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen., , , , , , и . APSIPA, стр. 1-8. IEEE, (2012)Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates., , , , , , , и . CLIP, том 8361 из Lecture Notes in Computer Science, стр. 1-9. Springer, (2013)