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Use of 3-D cortical morphometry for mapping increased cortical gyrification and complexity in Williams syndrome.

, , , , , , , , , , and . ISBI, page 1172-1175. IEEE, (2006)

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A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci., , , , , , , , , and . MICCAI (1), volume 4190 of Lecture Notes in Computer Science, page 695-703. Springer, (2006)Use of 3-D cortical morphometry for mapping increased cortical gyrification and complexity in Williams syndrome., , , , , , , , , and 1 other author(s). ISBI, page 1172-1175. IEEE, (2006)Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach., , , , , , , , , and . IEEE Trans. Medical Imaging, 26 (4): 541-552 (2007)Creativity slumps and bumps: Examining the neurobehavioral basis of creativity development during middle childhood., , , , , and . NeuroImage, (2019)To modulate or not to modulate: Differing results in uniquely shaped Williams syndrome brains., , , , , , and . NeuroImage, 32 (3): 1001-1007 (2006)Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review., , , , , and . Sensors, 22 (15): 5865 (2022)Dynamic inter-brain synchrony in real-life inter-personal cooperation: A functional near-infrared spectroscopy hyperscanning study., , , and . NeuroImage, (2021)Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data., , , and . ICMLA, page 582-588. IEEE, (2021)Hamilton-Jacobi Skeletons on Cortical Surfaces with Applications in Characterizing the Gyrification Pattern Inwilliams Syndrome., , , , , , , , , and 1 other author(s). ISBI, page 660-663. IEEE, (2007)Compact and Informative Representation of Functional Connectivity for Predictive Modeling., , , and . MICCAI (3), volume 8675 of Lecture Notes in Computer Science, page 153-160. Springer, (2014)