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Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.

, , , , , , and . NeuroImage, (2022)

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Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks., , , , and . CoRR, (2019)MARM: Multiscale Adaptive Regression Models for Neuroimaging Data., , , , and . IPMI, volume 5636 of Lecture Notes in Computer Science, page 314-325. Springer, (2009)In vivo validation of the bold mechanism: A review of signal changes in gradient echo functional MRI in the presence of flow., , , and . Int. J. Imaging Systems and Technology, 6 (2-3): 153-163 (1995)F-TIMER: Fast Tensor Image Morphing for Elastic Registration., , , , and . IEEE Trans. Med. Imaging, 29 (5): 1192-1203 (2010)A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images., , , , and . IEEE Trans. Med. Imaging, 27 (10): 1506-1514 (2008)Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing., , , and . Medical Image Anal., (2016)Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework., , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 576-587. Springer, (2015)A review on neuroimaging studies of genetic and environmental influences on early brain development., , , , , , and . NeuroImage, (2019)Multivariate Varying Coefficient Models for DTI Tract Statistics., , , , , , , and . MICCAI (1), volume 6361 of Lecture Notes in Computer Science, page 690-697. Springer, (2010)Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network., , , , , , , , and . Pattern Recognit., (November 2023)