Author of the publication

Longitudinal Analysis of Pre-Term Neonatal Cerebral Ventricles From 3D Ultrasound Images Using Spatial-Temporal Deformable Registration.

, , , , , , , and . IEEE Trans. Med. Imaging, 36 (4): 1016-1026 (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Longitudinal Analysis of Pre-Term Neonatal Cerebral Ventricles From 3D Ultrasound Images Using Spatial-Temporal Deformable Registration., , , , , , , and . IEEE Trans. Med. Imaging, 36 (4): 1016-1026 (2017)Automatic 3D US Brain Ventricle Segmentation in Pre-Term Neonates Using Multi-phase Geodesic Level-Sets with Shape Prior., , , , , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 89-96. Springer, (2015)In vivo validation of a 3D ultrasound system for imaging the lateral ventricles of neonates., , , , and . Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 90361G. SPIE, (2014)Semi-automatic segmentation of preterm neonate ventricle system from 3D ultrasound images., , , , , and . ISBI, page 1222-1225. IEEE, (2014)Automatic segmentation approach to extracting neonatal cerebral ventricles from 3D ultrasound images., , , , , , and . Medical Image Anal., (2017)Lateral Ventricle Segmentation of 3D Pre-term Neonates US Using Convex Optimization., , , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 559-566. Springer, (2013)Cerebral Ventricle Segmentation from 3D Pre-term IVH Neonate MR Images Using Atlas-Based Convex Optimization., , , , , , and . CARE@MICCAI, volume 8899 of Lecture Notes in Computer Science, page 46-54. Springer, (2014)Longitudinal Analysis of Pre-term Neonatal Brain Ventricle in Ultrasound Images Based on Convex Optimization., , , , , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 476-483. Springer, (2015)3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilation., , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 941310. SPIE, (2015)3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilatation (PHVD) using multi-phase geodesic level-sets., , , , , , , and . NeuroImage, (2015)