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Quantifying brain development in early childhood using segmentation and registration.

P. Aljabar, K. Bhatia, M. Murgasova, J. Hajnal, J. Boardman, L. Srinivasan, M. Rutherford, L. Dyet, A. Edwards, and D. Rueckert. Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65120O. SPIE, (2007)

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Ivo Hajnal

Hajnal Türk

David Hajnal

Hajnal Borús

V Geoffroy

Other publications of authors with the same name

Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.C. Thomaz, J. Boardman, D. Hill, J. Hajnal, D. Edwards, M. Rutherford, D. Gillies, and D. Rueckert. MICCAI (1), volume 3216 of Lecture Notes in Computer Science, page 291-300. Springer, (2004)Generalising Deep Learning MRI Reconstruction across Different Domains.C. Ouyang, J. Schlemper, C. Biffi, G. Seegoolam, J. Caballero, A. Price, J. Hajnal, and D. Rueckert. CoRR, (2019)Non-linear Registration with the Variable Viscosity Fluid Algorithm.H. Lester, S. Arridge, K. Jansons, L. Lemieux, J. Hajnal, and A. Oatridge. IPMI, volume 1613 of Lecture Notes in Computer Science, page 238-251. Springer, (1999)Interpolation Artefacts in Non-rigid Registration.P. Aljabar, J. Hajnal, R. Boyes, and D. Rueckert. MICCAI (2), volume 3750 of Lecture Notes in Computer Science, page 247-254. Springer, (2005)Classifier Selection Strategies for Label Fusion Using Large Atlas Databases.P. Aljabar, R. Heckemann, A. Hammers, J. Hajnal, and D. Rueckert. MICCAI (1), volume 4791 of Lecture Notes in Computer Science, page 523-531. Springer, (2007)A multivariate statistical analysis of the developing human brain in preterm infants.C. Thomaz, J. Boardman, S. Counsell, D. Hill, J. Hajnal, A. Edwards, M. Rutherford, D. Gillies, and D. Rueckert. Image Vis. Comput., 25 (6): 981-994 (2007)Reconstruction of fetal brain MRI with intensity matching and complete outlier removal.M. Kuklisova-Murgasova, G. Quaghebeur, M. Rutherford, J. Hajnal, and J. Schnabel. Medical Image Anal., 16 (8): 1550-1564 (2012)The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla.C. Malamateniou, S. Counsell, J. Allsop, J. Fitzpatrick, L. Srinivasan, F. Cowan, J. Hajnal, and M. Rutherford. NeuroImage, 32 (3): 1050-1059 (2006)Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches.M. Schirmer, G. Ball, S. Counsell, A. Edwards, D. Rueckert, J. Hajnal, and P. Aljabar. MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 574-581. Springer, (2013)An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth.J. Boardman, K. Bhatia, S. Counsell, J. Allsop, O. Kapellou, M. Rutherford, A. Edwards, J. Hajnal, and D. Rueckert. MICCAI (1), volume 2878 of Lecture Notes in Computer Science, page 697-704. Springer, (2003)

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Disambiguation of "Hajnal, Joseph V."

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Quantifying brain development in early childhood using segmentation and registration.

Please choose a person to relate this publication to

Ivo Hajnal

Hajnal Türk

David Hajnal

Hajnal Borús

V Geoffroy

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hajnal, Joseph V."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Quantifying brain development in early childhood using segmentation and registration.

Please choose a person to relate this publication to

Ivo Hajnal

Hajnal Türk

David Hajnal

Hajnal Borús

V Geoffroy

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Quantifying brain development in early childhood using segmentation and registration.