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Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers.

, , , , , , and . EMBC, page 2756-2760. IEEE, (2021)

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Intra-session test-retest reliability of functional connectivity in infants., , , , , , , , , and 12 other author(s). NeuroImage, (2021)Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers., , , , , , and . EMBC, page 2756-2760. IEEE, (2021)ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates., , , , , , , , , and 2 other author(s). Brain Informatics, 9 (1): 12 (2022)3D distributed deep learning framework for prediction of human intelligence from brain MRI., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113171X. SPIE, (2020)Ecological nuances in functional magnetic resonance imaging (fMRI): psychological stressors, posture, and hydrostatics., , , , , , and . NeuroImage, 25 (1): 1-7 (2005)PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer., , , , , , , , and . CoRR, (2021)PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers., , , , , , , , and . IEEE Trans. Medical Imaging, 41 (10): 2925-2940 (2022)3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI., , , , , , , , , and 5 other author(s). CoRR, (2023)