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Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency., , , , , , и . MICCAI (6), том 12266 из Lecture Notes in Computer Science, стр. 386-395. Springer, (2020)STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning., , , , и . MICCAI (7), том 12907 из Lecture Notes in Computer Science, стр. 197-206. Springer, (2021)Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series., , , , , , и . PIPPI@MICCAI, том 14246 из Lecture Notes in Computer Science, стр. 77-87. Springer, (2023)FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model., , , и . CoRR, (2024)Somatosensory evoked changes in cerebral oxygen consumption measured non-invasively in premature neonates., , , , , , , , и . NeuroImage, (2014)Predicting the location of entorhinal cortex from MRI., , , , , , , , , и 10 other автор(ы). NeuroImage, 47 (1): 8-17 (2009)Segmentation ability map: Interpret deep features for medical image segmentation., , , и . Medical Image Anal., (2023)Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks., , , , , , и . CoRR, (2019)Brain Age Estimation Using LSTM on Children's Brain MRI., , , , , , , , и . ISBI, стр. 1-4. IEEE, (2020)SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI., , , , , и . MICCAI (6), том 13436 из Lecture Notes in Computer Science, стр. 3-13. Springer, (2022)