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Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project., , , , , , , , , and 8 other author(s). NeuroImage, (2019)Complex diffusion-weighted image estimation via matrix recovery under general noise models., , , , and . NeuroImage, (2019)Construction of a neonatal cortical surface atlas using Multimodal Surface Matching in the Developing Human Connectome Project., , , , , , , , , and 9 other author(s). NeuroImage, (2018)Slice-level diffusion encoding for motion and distortion correction., , , , , , , , , and . Medical Image Analysis, (2018)Virtual angiography using CFD simulations based on patient-specific parameter optimization., , , , , and . ISBI, page 1200-1203. IEEE, (2012)A deformable model for the reconstruction of the neonatal cortex., , , , , , , , , and 2 other author(s). ISBI, page 800-803. IEEE, (2017)Low-Rank and Sparse Matrix Decomposition for Compressed Sensing Reconstruction of Magnetic Resonance 4D Phase Contrast Blood Flow Imaging (LoSDeCoS 4D-PCI)., , , , , , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 558-565. Springer, (2013)Multi-Dimensional Flow-Preserving Compressed Sensing (MuFloCoS) for Time-Resolved Velocity-Encoded Phase Contrast MRI., , , , , , , , and . IEEE Trans. Med. Imaging, 34 (2): 400-414 (2015)Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction., , , , , and . IEEE Trans. Computational Imaging, 2 (3): 266-280 (2016)Multimodal surface matching with higher-order smoothness constraints., , , , , , , , , and 9 other author(s). NeuroImage, (2018)