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Cédric Clouchoux

Researcher at Children's National Medical Center

Publications -  25
Citations -  775

Cédric Clouchoux is an academic researcher from Children's National Medical Center. The author has contributed to research in topics: Computer science & Gyrification. The author has an hindex of 11, co-authored 19 publications receiving 655 citations. Previous affiliations of Cédric Clouchoux include Montreal Neurological Institute and Hospital & McGill University.

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Journal ArticleDOI

Quantitative in vivo MRI measurement of cortical development in the fetus.

TL;DR: The in vivo fetal cortical folding pattern in healthy fetuses between 25 and 35 weeks gestational age is investigated using 3-D reconstructed fetal cortical surfaces using a robust feature extraction algorithm applied directly on the cortical surface, providing an explicit delineation of the sulcal pattern during fetal brain development.
Journal ArticleDOI

Normative fetal brain growth by quantitative in vivo magnetic resonance imaging.

TL;DR: The availability and ongoing validation of normative Fetal magnetic resonance imaging trajectories will provide important tools for early detection of impaired fetal brain growth upon which to manage high-risk pregnancies.
Journal ArticleDOI

Advancing fetal brain MRI: targets for the future.

TL;DR: The ongoing refinement of these magnetic resonance imaging techniques will undoubtedly lead to the development of cornerstone biomarkers that will provide healthcare caregivers with vital, and currently lacking, information upon which to counsel parents effectively, and base rational decisions regarding the timing and type of novel medical and surgical interventions currently on the horizon.
Book ChapterDOI

Construction of a deformable spatiotemporal MRI atlas of the fetal brain: Evaluation of similarity metrics and deformation models

TL;DR: A mathematical framework for the construction of an unbiased deformable spatiotemporal atlas of the fetal brain MRI and compared it to alternative configurations in terms of similarity metrics and deformation models indicates that symmetric diffeomorphic deformable registration with cross correlation similarity metric outperforms other configurations in this application.