L
Lucilio Cordero-Grande
Researcher at King's College London
Publications - 129
Citations - 2869
Lucilio Cordero-Grande is an academic researcher from King's College London. The author has contributed to research in topics: Medicine & Diffusion MRI. The author has an hindex of 19, co-authored 108 publications receiving 1621 citations. Previous affiliations of Lucilio Cordero-Grande include University of Cambridge & University of Valladolid.
Papers
More filters
Journal ArticleDOI
The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction
Antonios Makropoulos,Emma C. Robinson,Emma C. Robinson,Andreas Schuh,Robert Wright,Sean P. Fitzgibbon,Jelena Bozek,Serena J. Counsell,Johannes K. Steinweg,Katy Vecchiato,Jonathan Passerat-Palmbach,Gregor Lenz,Filippo Mortari,Tencho Tenev,Eugene P. Duff,Matteo Bastiani,Lucilio Cordero-Grande,Emer Hughes,Nora Tusor,Jacques-Donald Tournier,Jana Hutter,Anthony N. Price,Rui Pedro A. G. Teixeira,Maria Murgasova,Suresh Victor,Christopher Kelly,Mary A. Rutherford,Stephen M. Smith,A. David Edwards,Joseph V. Hajnal,Mark Jenkinson,Daniel Rueckert +31 more
TL;DR: A fully automated processing pipeline for the structural Magnetic Resonance Imaging (MRI) of the developing neonatal brain is proposed, which has been specifically designed to address considerable differences between adult and neonatal brains, as imaged using MRI.
Journal ArticleDOI
A dedicated neonatal brain imaging system
Emer Hughes,Tobias Winchman,Francesco Padormo,Rui Pedro A. G. Teixeira,Julia Wurie,Maryanne Sharma,Matthew Fox,Jana Hutter,Lucilio Cordero-Grande,Anthony N. Price,Joanna Allsop,Jose Bueno-Conde,Nora Tusor,Tomoki Arichi,Alexander D. Edwards,Mary A. Rutherford,Serena J. Counsell,Joseph V. Hajnal +17 more
TL;DR: The goal of the Developing Human Connectome Project is to acquire MRI in 1000 neonates to create a dynamic map of human brain connectivity during early development.
Journal ArticleDOI
Multimodal surface matching with higher-order smoothness constraints
Emma C. Robinson,Kara Garcia,Matthew F. Glasser,Zhengdao Chen,Timothy S. Coalson,Antonios Makropoulos,Jelena Bozek,Robert Wright,Andreas Schuh,Matthew T. Webster,Jana Hutter,Anthony N. Price,Lucilio Cordero-Grande,Emer Hughes,Nora Tusor,Philip V. Bayly,David C. Van Essen,Stephen M. Smith,A. David Edwards,Joseph V. Hajnal,Mark Jenkinson,Ben Glocker,Daniel Rueckert +22 more
TL;DR: A new regularisation penalty, derived from physically relevant equations of strain (deformation) energy, is proposed and implemented and it is demonstrated that its use leads to improved and more robust alignment of multimodal imaging data.
Journal ArticleDOI
Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.
Matteo Bastiani,Jesper L. R. Andersson,Lucilio Cordero-Grande,Maria Murgasova,Jana Hutter,Anthony N. Price,Antonios Makropoulos,Sean P. Fitzgibbon,Emer Hughes,Daniel Rueckert,Suresh Victor,Mary A. Rutherford,A. David Edwards,Stephen M. Smith,Jacques-Donald Tournier,Joseph V. Hajnal,Saâd Jbabdi,Stamatios N. Sotiropoulos +17 more
TL;DR: The pipeline allows automated analysis of in‐vivo dMRI data, probes tissue microstructure, reconstructs a number of major white matter tracts, and includes an automated quality control framework that identifies processing issues or inconsistencies.
Journal ArticleDOI
Three-dimensional motion corrected sensitivity encoding reconstruction for multi-shot multi-slice MRI: Application to neonatal brain imaging.
TL;DR: To introduce a methodology for the reconstruction of multi‐shot, multi‐slice magnetic resonance imaging able to cope with both within‐plane and through‐plane rigid motion and to describe its application in structural brain imaging.