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Pregled bibliografske jedinice broj: 886526

The developing Human Connectome Project automated functional pre-processing pipeline for neonates

Fitzgibbon, Sean; Andersson, Jesper; Harrison, Samuel; Robinson, Emma; Bozek, Jelena; Makropoulos, Antonios; Bastiani, Matteo; Griffanti, Ludovica; Wright, Robert; Schuh, Andreas et al.
The developing Human Connectome Project automated functional pre-processing pipeline for neonates // 23rd Annual Meeting of the Organization for Human Brain Mapping
Vancouver, Kanada, 2017. (poster, međunarodna recenzija, sažetak, znanstveni)

CROSBI ID: 886526 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
The developing Human Connectome Project automated functional pre-processing pipeline for neonates

Autori
Fitzgibbon, Sean ; Andersson, Jesper ; Harrison, Samuel ; Robinson, Emma ; Bozek, Jelena ; Makropoulos, Antonios ; Bastiani, Matteo ; Griffanti, Ludovica ; Wright, Robert ; Schuh, Andreas ; Hughes, Emer ; O'Muircheartaigh, Jonathan ; Gomes, Ana ; Allsop, Joanna ; Steinweg, Johannes ; Tusor, Nora ; Wurie, Julia ; Bueno-Conde, Jose ; Abaei, Maryam ; Price, Anthony ; Cordero-Grande, Lucilio ; Hutter, Jana ; Beckmann, Christian ; Hajnal, Joseph ; Rueckert, Daniel ; Edwards, David ; Smith, Stephen ; Jenkinson, Mark ; Duff, Eugene

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Skup
23rd Annual Meeting of the Organization for Human Brain Mapping

Mjesto i datum
Vancouver, Kanada, 25.06.2017. - 29.06.2017

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Data-analysis ; Development ; functional-MRI ; MRI

Sažetak
The dHCP aims to create a detailed 4-dimensional connectome of early life spanning 20 to 44 weeks post-conceptional age, recording structural, diffusion and functional MRI measures in utero and in neonates. Neonates present significant challenges to data processing due to low and variable contrast and high levels of head motion. This abstract presents the dHCP functional preprocessing framework for neonates and initial rsfMRI results. Processing refinements integrated into the automated dHCP functional pipeline provide reliable, high quality connectomic data from neonates.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne medicinske znanosti



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Jelena Božek (autor)

ww5.aievolution.com

Citiraj ovu publikaciju:

Fitzgibbon, Sean; Andersson, Jesper; Harrison, Samuel; Robinson, Emma; Bozek, Jelena; Makropoulos, Antonios; Bastiani, Matteo; Griffanti, Ludovica; Wright, Robert; Schuh, Andreas et al.
The developing Human Connectome Project automated functional pre-processing pipeline for neonates // 23rd Annual Meeting of the Organization for Human Brain Mapping
Vancouver, Kanada, 2017. (poster, međunarodna recenzija, sažetak, znanstveni)
Fitzgibbon, S., Andersson, J., Harrison, S., Robinson, E., Bozek, J., Makropoulos, A., Bastiani, M., Griffanti, L., Wright, R. & Schuh, A. (2017) The developing Human Connectome Project automated functional pre-processing pipeline for neonates. U: 23rd Annual Meeting of the Organization for Human Brain Mapping.
@article{article, author = {Fitzgibbon, Sean and Andersson, Jesper and Harrison, Samuel and Robinson, Emma and Bozek, Jelena and Makropoulos, Antonios and Bastiani, Matteo and Griffanti, Ludovica and Wright, Robert and Schuh, Andreas and Hughes, Emer and O'Muircheartaigh, Jonathan and Gomes, Ana and Allsop, Joanna and Steinweg, Johannes and Tusor, Nora and Wurie, Julia and Bueno-Conde, Jose and Abaei, Maryam and Price, Anthony and Cordero-Grande, Lucilio and Hutter, Jana and Beckmann, Christian and Hajnal, Joseph and Rueckert, Daniel and Edwards, David and Smith, Stephen and Jenkinson, Mark and Duff, Eugene}, year = {2017}, keywords = {Data-analysis, Development, functional-MRI, MRI}, title = {The developing Human Connectome Project automated functional pre-processing pipeline for neonates}, keyword = {Data-analysis, Development, functional-MRI, MRI}, publisherplace = {Vancouver, Kanada} }
@article{article, author = {Fitzgibbon, Sean and Andersson, Jesper and Harrison, Samuel and Robinson, Emma and Bozek, Jelena and Makropoulos, Antonios and Bastiani, Matteo and Griffanti, Ludovica and Wright, Robert and Schuh, Andreas and Hughes, Emer and O'Muircheartaigh, Jonathan and Gomes, Ana and Allsop, Joanna and Steinweg, Johannes and Tusor, Nora and Wurie, Julia and Bueno-Conde, Jose and Abaei, Maryam and Price, Anthony and Cordero-Grande, Lucilio and Hutter, Jana and Beckmann, Christian and Hajnal, Joseph and Rueckert, Daniel and Edwards, David and Smith, Stephen and Jenkinson, Mark and Duff, Eugene}, year = {2017}, keywords = {Data-analysis, Development, functional-MRI, MRI}, title = {The developing Human Connectome Project automated functional pre-processing pipeline for neonates}, keyword = {Data-analysis, Development, functional-MRI, MRI}, publisherplace = {Vancouver, Kanada} }

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