King’s College London

University / College


Location: London, United Kingdom (GB) GB

ISNI: 0000000123226764

ROR: https://ror.org/0220mzb33

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

Patch-Based Brain Age Estimation from MR Images (2020) Bintsi KM, Baltatzis V, Kolbeinsson A, Hammers A, Rueckert D Conference contribution Parental age effects on neonatal white matter development (2020) Gale-Grant O, Christiaens D, Cordero-Grande L, Chew A, Falconer S, Makropoulos A, Harper N, et al. Journal article Multi-channel registration for diffusion mri: longitudinal analysis for the neonatal brain (2020) Uus A, Pietsch M, Grigorescu I, Christiaens D, Tournier JD, Grande LC, Hutter J, et al. Conference contribution Reduced structural connectivity in cortico-striatal-thalamic network in neonates with congenital heart disease (2020) Ni Bhroin M, Seada SA, Bonthrone AF, Kelly CJ, Christiaens D, Schuh A, Pietsch M, et al. Journal article Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI (2020) Uus A, Steinweg JK, Ho A, Jackson LH, Hajnal JV, Rutherford MA, Deprez M, Hutter J Conference contribution Preface PIPPI 2020 (2020) Licandro R, Hutter J, Turk EA, Torrents J, Melbourne A Book chapter / Article in edited volumes Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect (2020) Slator PJ, Hutter J, Marinescu RV, Palombo M, Jackson LH, Ho A, Chappell LC, et al. Conference contribution Chapter 9: Pulse Sequences Combining Advanced Diffusion Encoding and Image Read-out (2020) Hutter J, Tournier JD, Hajnal J Book chapter / Article in edited volumes Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge (2020) Pizzolato M, Palombo M, Bonet-Carne E, Tax CM, Grussu F, Ianus A, Bogusz F, et al. Book chapter / Article in edited volumes Surface Agnostic Metrics for Cortical Volume Segmentation and Regression (2020) Budd S, Patkee P, Baburamani A, Rutherford M, Robinson EC, Kainz B Conference contribution