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Christian Gaser
Christian Gaser
Professor of Computational Neuroscience/Neuroimaging, Jena University Hospital
Bestätigte E-Mail-Adresse bei uni-jena.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Neuroplasticity: changes in grey matter induced by training
B Draganski, C Gaser, V Busch, G Schuierer, U Bogdahn, A May
Nature 427 (6972), 311-312, 2004
30522004
Brain structures differ between musicians and non-musicians
C Gaser, G Schlaug
Journal of Neuroscience 23 (27), 9240-9245, 2003
21532003
An automated tool for detection of FLAIR-hyperintense white-matter lesions in multiple sclerosis
P Schmidt, C Gaser, M Arsic, D Buck, A Förschler, A Berthele, M Hoshi, ...
Neuroimage 59 (4), 3774-3783, 2012
9602012
Temporal and spatial dynamics of brain structure changes during extensive learning
B Draganski, C Gaser, G Kempermann, HG Kuhn, J Winkler, C Büchel, ...
Journal of Neuroscience 26 (23), 6314-6317, 2006
9302006
Training-induced brain structure changes in the elderly
J Boyke, J Driemeyer, C Gaser, C Büchel, A May
Journal of Neuroscience 28 (28), 7031-7035, 2008
8122008
The underlying anatomical correlates of long-term meditation: larger hippocampal and frontal volumes of gray matter
E Luders, AW Toga, N Lepore, C Gaser
Neuroimage 45 (3), 672-678, 2009
7662009
Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters
K Franke, G Ziegler, S Klöppel, C Gaser, ADN Initiative
Neuroimage 50 (3), 883-892, 2010
613*2010
Changes in gray matter induced by learning—revisited
J Driemeyer, J Boyke, C Gaser, C Büchel, A May
PloS one 3 (7), e2669, 2008
5752008
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
E Moradi, A Pepe, C Gaser, H Huttunen, J Tohka, ADN Initiative
Neuroimage 104, 398-412, 2015
558*2015
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
E Moradi, A Pepe, C Gaser, H Huttunen, J Tohka, ADN Initiative
Neuroimage 104, 398-412, 2015
5482015
Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition
N Koutsouleris, EM Meisenzahl, C Davatzikos, R Bottlender, T Frodl, ...
Archives of General Psychiatry 66 (7), 700-712, 2009
4702009
Structural brain changes in tinnitus
M Mühlau, JP Rauschecker, E Oestreicher, C Gaser, M Röttinger, ...
Cerebral cortex 16 (9), 1283-1288, 2006
4162006
Cortical thickness and central surface estimation
R Dahnke, RA Yotter, C Gaser
Neuroimage 65, 336-348, 2013
4122013
Template-O-Matic: a toolbox for creating customized pediatric templates
M Wilke, SK Holland, M Altaye, C Gaser
Neuroimage 41 (3), 903-913, 2008
3812008
Functional anatomy of pitch memory—an fMRI study with sparse temporal sampling
N Gaab, C Gaser, T Zaehle, L Jancke, G Schlaug
Neuroimage 19 (4), 1417-1426, 2003
3762003
BrainAGE in mild cognitive impaired patients: predicting the conversion to Alzheimer’s disease
C Gaser, K Franke, S Klöppel, N Koutsouleris, H Sauer, ...
PloS one 8 (6), e67346, 2013
3542013
CAT – A Computational Anatomy Toolbox for the Analysis of Structural MRI Data
C Gaser, R Dahnke, PM Thompson, F Kurth, E Luders
bioRxiv, 2022
3322022
Accelerated brain aging in schizophrenia and beyond: a neuroanatomical marker of psychiatric disorders
N Koutsouleris, C Davatzikos, S Borgwardt, C Gaser, R Bottlender, T Frodl, ...
Schizophrenia bulletin 40 (5), 1140-1153, 2014
3312014
Gray matter differences between musicians and nonmusicians
C Gaser, G Schlaug
Annals of the New York Academy of Sciences 999 (1), 514-517, 2003
3202003
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge
EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ...
NeuroImage 111, 562-579, 2015
2902015
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