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Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning.

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The optimal template effect in hippocampus studies of diseased populations., , , , , , and . NeuroImage, 49 (3): 2457-2466 (2010)Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence., , , , , , , , , and 4 other author(s). NeuroImage, (2022)Boost up the detection sensitivity of ASL perfusion fMRI through support vector machine., , and . EMBC, page 1006-1009. IEEE, (2006)The Neural Basis for Category-Specific Knowledge: An fMRI Study., , , , , , and . NeuroImage, 15 (4): 936-948 (2002)Improved Segmentation of Deep Sulci in Cortical Gray Matter Using a Deep Learning Framework Incorporating Laplace's Equation., , , , , , , , , and 22 other author(s). IPMI, volume 13939 of Lecture Notes in Computer Science, page 692-704. Springer, (2023)Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology., , , , , , , , , and 16 other author(s). ISBI, page 113-117. IEEE, (2020)Fusing Functional Signals by Sparse Canonical Correlation Analysis Improves Network Reproducibility., , , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 635-642. Springer, (2013)Hippocampus-Specific fMRI Group Activation Analysis with Continuous M-Reps., , , , , , , , and . MICCAI (2), volume 4191 of Lecture Notes in Computer Science, page 284-291. Springer, (2006)Temporal Dynamics of Brain Tissue Nitric Oxide during Functional Forepaw Stimulation in Rats., , , and . NeuroImage, 18 (1): 1-9 (2003)Integrating 1H MRS and deuterium labeled glucose for mapping the dynamics of neural metabolism in humans., , , , , , , , , and 2 other author(s). NeuroImage, (2022)