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Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.

C. Chu, J. Fauw, N. Tomasev, B. Romera-Paredes, C. Hughes, J. Ledsam, T. Back, H. Montgomery, G. Rees, R. Raine, K. Sullivan, S. Moinuddin, D. D'Souza, O. Ronneberger, R. Mendes, and J. Cornebise. F1000Research, (2016)

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Carlton Evans Patrick

Carlton Leroy Wood

Chu Duc

Pakong Chu

Xiaolan Chu

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PRoNTo: Pattern Recognition for Neuroimaging Toolbox.J. Schrouff, M. Rosa, J. Rondina, A. Marquand, C. Chu, J. Ashburner, C. Phillips, J. Richiardi, and J. Miranda. Neuroinformatics, 11 (3): 319-337 (2013)Quantitative prediction of subjective pain intensity from whole-brain fMRI data using Gaussian processes.A. Marquand, M. Howard, M. Brammer, C. Chu, S. Coen, and J. Miranda. NeuroImage, 49 (3): 2178-2189 (2010)Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.C. Chu, J. Fauw, N. Tomasev, B. Romera-Paredes, C. Hughes, J. Ledsam, T. Back, H. Montgomery, G. Rees, R. Raine and 6 other author(s). F1000Research, (2016)Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images.C. Chu, A. Hsu, K. Chou, P. Bandettini, and C. Lin. NeuroImage, 60 (1): 59-70 (2012)Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods.C. Chu, J. Miranda, Y. Chiu, N. Kriegeskorte, G. Tan, and J. Ashburner. NeuroImage, 58 (2): 560-571 (2011)Automated analysis of retinal imaging using machine learning techniques for computer vision.J. Fauw, P. Keane, N. Tomasev, D. Visentin, G. van den Driessche, M. Johnson, C. Hughes, C. Chu, J. Ledsam, T. Back and 6 other author(s). F1000Research, (2016)Effects of image contrast on functional MRI image registration.J. Gonzalez-Castillo, K. Duthie, Z. Saad, C. Chu, P. Bandettini, and W. Luh. NeuroImage, (2013)Predicting clinical scores from magnetic resonance scans in Alzheimer's disease.C. Stonnington, C. Chu, S. Klöppel, C. Jr., J. Ashburner, and R. Frackowiak. NeuroImage, 51 (4): 1405-1413 (2010)The influence of microsatellite polymorphisms in sex steroid receptor genes ESR1, ESR2 and AR on sex differences in brain structure.G. Tan, C. Chu, Y. Lee, C. Tan, J. Ashburner, N. Wood, and R. Frackowiak. NeuroImage, (2020)Bayesian decoding of brain images.K. Friston, C. Chu, J. Miranda, O. Hulme, G. Rees, W. Penny, and J. Ashburner. NeuroImage, 39 (1): 181-205 (2008)

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Disambiguation of "Chu, Carlton"

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Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.

Please choose a person to relate this publication to

Carlton Evans Patrick

Carlton Leroy Wood

Chu Duc

Pakong Chu

Xiaolan Chu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Chu, Carlton"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.

Please choose a person to relate this publication to

Carlton Evans Patrick

Carlton Leroy Wood

Chu Duc

Pakong Chu

Xiaolan Chu

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
Harvard
MSOffice XML

Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.