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Towards Non-invasive Image-Based Early Diagnosis of Autism., , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 160-168. Springer, (2015)Conformal initialization for shape analysis applications in SlicerSALT., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 1095326. SPIE, (2019)A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images., , , , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105740V. SPIE, (2018)A segmentation editing framework based on shape change statistics., , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101331E. SPIE, (2017)A novel framework for the segmentationof mrinfant brain images., , and . ICIP, page 88-92. IEEE, (2015)An integrated geometrical and stochastic approach for accurate infant brain extraction., , , , , , , and . ICIP, page 3542-3546. IEEE, (2014)Model selection for spatiotemporal modeling of early childhood sub-cortical development., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490L. SPIE, (2019)A statistical framework for the classification of infant DT images., , , , , , , and . ICIP, page 2222-2226. IEEE, (2014)SlicerSALT: Shape AnaLysis Toolbox., , , , , , , , , and 7 other author(s). ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 65-72. Springer, (2018)Non-Euclidean, convolutional learning on cortical brain surfaces., , , , , and . ISBI, page 527-530. IEEE, (2018)