Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas
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Aris Papageorghiou | Bartlomiej W. Papiez | Ana I. L. Namburete | Raquel van Kampen | A. Papageorghiou | B. Papież | A. Namburete | R. Kampen
[1] Simon K. Warfield,et al. A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth , 2017, Scientific Reports.
[2] L. Shark,et al. Facial Expression Recognition Using Diffeomorphic Image Registration Framework , 2013 .
[3] J. Alison Noble,et al. Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step , 2015, Medical Image Anal..
[4] Michael Felsberg,et al. The monogenic signal , 2001, IEEE Trans. Signal Process..
[5] Ovidio Peña-Rodríguez,et al. Understanding the ion-induced elongation of silver nanoparticles embedded in silica , 2017, Scientific Reports.
[6] J. Alison Noble,et al. Learning-based prediction of gestational age from ultrasound images of the fetal brain , 2015, Medical Image Anal..
[7] Christopher P. Bridge. Introduction To The Monogenic Signal , 2017, ArXiv.
[8] Michael Brady,et al. Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation , 2018, WBIR.
[9] Andrew Zisserman,et al. Fully‐automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi‐task learning , 2018, Medical Image Anal..
[10] Yihong Yang,et al. Implicit reference-based group-wise image registration and its application to structural and functional MRI , 2009, NeuroImage.
[11] Daniel Rueckert,et al. A review on automatic fetal and neonatal brain MRI segmentation , 2017, NeuroImage.
[12] D. Altman,et al. International standards for fetal growth based on serial ultrasound measurements: the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project , 2014, The Lancet.
[13] Laurent Risser,et al. Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D Liver Ultrasound Images , 2013, IEEE Transactions on Medical Imaging.
[14] J. Alison Noble,et al. Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs , 2017, FIFI/OMIA@MICCAI.
[15] Nicholas Ayache,et al. Symmetric Log-Domain Diffeomorphic Registration: A Demons-Based Approach , 2008, MICCAI.
[16] Alejandro F Frangi,et al. Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration , 2003, IEEE Transactions on Medical Imaging.
[17] Jean Meunier,et al. Average Brain Models: A Convergence Study , 2000, Comput. Vis. Image Underst..
[18] Peter Kovesi,et al. Invariant measures of image features from phase information , 1996 .
[19] Guido Gerig,et al. Unbiased diffeomorphic atlas construction for computational anatomy , 2004, NeuroImage.
[20] Michael Brady,et al. Non-rigid Multimodal Image Registration Using Local Phase , 2004, MICCAI.
[21] A. Toi,et al. How early are fetal cerebral sulci visible at prenatal ultrasound and what is the normal pattern of early fetal sulcal development? , 2004, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.
[22] Nikos Paragios,et al. Deformable Medical Image Registration: A Survey , 2013, IEEE Transactions on Medical Imaging.
[23] J. Gee,et al. Geodesic estimation for large deformation anatomical shape averaging and interpolation , 2004, NeuroImage.