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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)

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Ivo Hajnal

David Hajnal

Hajnal Türk

Hajnal Borús

V Saile

Other publications of authors with the same name

Automatic Quantification of Changes in Bone in Serial MR Images of Joints.K. Leung, M. Holden, N. Saeed, K. Brooks, J. Buckton, A. Williams, S. Campbell, K. Changani, D. Reid, Y. Zhao and 4 other author(s). IEEE Trans. Medical Imaging, 25 (12): 1617-1626 (2006)dStripe: Slice artefact correction in diffusion MRI via constrained neural network.M. Pietsch, D. Christiaens, J. Hajnal, and J. Tournier. Medical Image Anal., (2021)Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo.D. Batalle, J. O'Muircheartaigh, A. Makropoulos, C. Kelly, R. Dimitrova, E. Hughes, J. Hajnal, H. Zhang, D. Alexander, A. Edwards and 1 other author(s). NeuroImage, (2019)Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction.G. Ferrazzi, M. Kuklisova-Murgasova, T. Arichi, C. Malamateniou, M. Fox, A. Makropoulos, J. Allsop, M. Rutherford, S. Malik, P. Aljabar and 1 other author(s). NeuroImage, (2014)Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI.G. Seegoolam, J. Schlemper, C. Qin, A. Price, J. Hajnal, and D. Rueckert. MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 704-712. Springer, (2019)An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field.K. Payette, A. Uus, J. Verdera, C. Zampieri, M. Hall, L. Story, M. Deprez, M. Rutherford, J. Hajnal, S. Ourselin and 2 other author(s). MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 358-367. Springer, (2023)The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning.D. Prokopenko, K. Hammernik, T. Roberts, D. Lloyd, D. Rueckert, and J. Hajnal. PIPPI@MICCAI, volume 14246 of Lecture Notes in Computer Science, page 64-74. Springer, (2023)Towards Whole Placenta Segmentation at Late Gestation Using Multi-view Ultrasound Images.V. Zimmer, A. Gómez, E. Skelton, N. Toussaint, T. Zhang, B. Khanal, R. Wright, Y. Noh, A. Ho, J. Matthew and 2 other author(s). MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 628-636. Springer, (2019)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)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)

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Disambiguation of "Hajnal, Joseph V."

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Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.

Please choose a person to relate this publication to

Ivo Hajnal

David Hajnal

Hajnal Türk

Hajnal Borús

V Saile

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 Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.

Please choose a person to relate this publication to

Ivo Hajnal

David Hajnal

Hajnal Türk

Hajnal Borús

V Saile

Other publications of authors with the same name

Disambiguation

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

Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.