Carlton Chu
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Explore the profile of Carlton Chu including associated specialties, affiliations and a list of published articles.
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23
Citations
1650
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Recent Articles
11.
Rocha-Rego V, Pereira M, Oliveira L, Mendlowicz M, Fiszman A, Marques-Portella C, et al.
PLoS One
. 2012 Sep;
7(8):e42560.
PMID: 22952599
Background: Studies addressing posttraumatic stress disorder (PTSD) have demonstrated that PTSD patients exhibit structural abnormalities in brain regions that relate to stress regulation and fear responses, such as the hippocampus,...
12.
Chu C, Hsu A, Chou K, Bandettini P, Lin C
Neuroimage
. 2011 Dec;
60(1):59-70.
PMID: 22166797
There are growing numbers of studies using machine learning approaches to characterize patterns of anatomical difference discernible from neuroimaging data. The high-dimensionality of image data often raises a concern that...
13.
Chu C, Mourao-Miranda J, Chiu Y, Kriegeskorte N, Tan G, Ashburner J
Neuroimage
. 2011 Jul;
58(2):560-71.
PMID: 21729756
This paper describes a general kernel regression approach to predict experimental conditions from activity patterns acquired with functional magnetic resonance image (fMRI). The standard approach is to use classifiers that...
14.
Chu C, Ni Y, Tan G, Saunders C, Ashburner J
Neuroimage
. 2010 Mar;
56(2):662-73.
PMID: 20348000
This paper introduces two kernel-based regression schemes to decode or predict brain states from functional brain scans as part of the Pittsburgh Brain Activity Interpretation Competition (PBAIC) 2007, in which...
15.
Stonnington C, Chu C, Kloppel S, Jack Jr C, Ashburner J, Frackowiak R
Neuroimage
. 2010 Mar;
51(4):1405-13.
PMID: 20347044
Machine learning and pattern recognition methods have been used to diagnose Alzheimer's disease (AD) and mild cognitive impairment (MCI) from individual MRI scans. Another application of such methods is to...
16.
Marquand A, Howard M, Brammer M, Chu C, Coen S, Mourao-Miranda J
Neuroimage
. 2009 Nov;
49(3):2178-89.
PMID: 19879364
Supervised machine learning (ML) algorithms are increasingly popular tools for fMRI decoding due to their predictive capability and their ability to capture information encoded by spatially correlated voxels. In addition,...
17.
Costafreda S, Chu C, Ashburner J, Fu C
PLoS One
. 2009 Jul;
4(7):e6353.
PMID: 19633718
Background: Depression is experienced as a persistent low mood or anhedonia accompanied by behavioural and cognitive disturbances which impair day to day functioning. However, the diagnosis is largely based on...
18.
Hassabis D, Chu C, Rees G, Weiskopf N, Molyneux P, Maguire E
Curr Biol
. 2009 Mar;
19(7):546-54.
PMID: 19285400
Background: The hippocampus underpins our ability to navigate, to form and recollect memories, and to imagine future experiences. How activity across millions of hippocampal neurons supports these functions is a...
19.
Kloppel S, Stonnington C, Barnes J, Chen F, Chu C, Good C, et al.
Brain
. 2008 Oct;
131(Pt 11):2969-74.
PMID: 18835868
There has been recent interest in the application of machine learning techniques to neuroimaging-based diagnosis. These methods promise fully automated, standard PC-based clinical decisions, unbiased by variable radiological expertise. We...
20.
Kloppel S, Stonnington C, Chu C, Draganski B, Scahill R, Rohrer J, et al.
Brain
. 2008 Jan;
131(Pt 3):681-9.
PMID: 18202106
To be diagnostically useful, structural MRI must reliably distinguish Alzheimer's disease (AD) from normal aging in individual scans. Recent advances in statistical learning theory have led to the application of...