|A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages|
S Rathore, M Habes, MA Iftikhar, A Shacklett, C Davatzikos
NeuroImage 155, 530-548, 2017
|White matter hyperintensities and imaging patterns of brain ageing in the general population|
M Habes, G Erus, JB Toledo, T Zhang, N Bryan, LJ Launer, Y Rosseel, ...
Brain 139 (4), 1164-1179, 2016
|Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI|
BFJ Verhaaren, S Debette, JC Bis, JA Smith, MK Ikram, HH Adams, ...
Circulation: Cardiovascular Genetics 8 (2), 398-409, 2015
|Association between waist circumference and gray matter volume in 2344 individuals from two adult community-based samples|
D Janowitz, K Wittfeld, J Terock, HJ Freyberger, K Hegenscheid, H Völzke, ...
Neuroimage 122, 149-157, 2015
|Advanced brain aging: relationship with epidemiologic and genetic risk factors, and overlap with Alzheimer disease atrophy patterns|
M Habes, D Janowitz, G Erus, JB Toledo, SM Resnick, J Doshi, ...
Translational Psychiatry 6 (4), e775, 2016
|Microglia ablation alleviates myelin-associated catatonic signs in mice|
H Janova, S Arinrad, E Balmuth, M Mitjans, J Hertel, M Habes, RA Bittner, ...
The Journal of clinical investigation 128 (2), 734-745, 2018
|Effect of the interaction between childhood abuse and rs1360780 of the FKBP5 gene on gray matter volume in a general population sample|
HJ Grabe, K Wittfeld, S Van der Auwera, D Janowitz, K Hegenscheid, ...
Human brain mapping 37 (4), 1602-1613, 2016
|A priori collaboration in population imaging: the Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium|
HHH Adams, S Hilal, P Schwingenschuh, K Wittfeld, SJ van der Lee, ...
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 1 (4 …, 2015
|Genetic, psychosocial and clinical factors associated with hippocampal volume in the general population|
D Janowitz, C Schwahn, U Borchardt, K Wittfeld, A Schulz, S Barnow, ...
Translational psychiatry 4 (10), e465-e465, 2014
|A mobile and asynchronous electronic data capture system for epidemiologic studies|
J Meyer, D Fredrich, J Piegsa, M Habes, N van den Berg, W Hoffmann
Computer methods and programs in biomedicine 110 (3), 369-379, 2013
|Enlarged perivascular spaces and cognition: A meta-analysis of 5 population-based studies|
S Hilal, CS Tan, HHH Adams, M Habes, V Mok, N Venketasubramanian, ...
Neurology 91 (9), e832-e842, 2018
|Relationship between APOE Genotype and Structural MRI Measures throughout Adulthood in the Study of Health in Pomerania Population-Based Cohort|
M Habes, JB Toledo, SM Resnick, J Doshi, S Van der Auwera, G Erus, ...
American Journal of Neuroradiology, 2016
|White matter lesions: Spatial heterogeneity, links to risk factors, cognition, genetics, and atrophy|
M Habes, A Sotiras, G Erus, JB Toledo, D Janowitz, DA Wolk, H Shou, ...
Neurology 91 (10), e964-e975, 2018
|Reproducibility of Frankfort Horizontal Plane on 3D Multi-Planar Reconstructed MR Images|
A Daboul, C Schwahn, G Schaffner, S Soehnel, S Samietz, A Aljaghsi, ...
PLOS ONE 7 (10), e48281, 2012
|Deep ordinal ranking for multi-category diagnosis of alzheimer's disease using hippocampal MRI data|
H Li, M Habes, Y Fan
arXiv preprint arXiv:1709.01599, 2017
|Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods|
H Eavani, M Habes, TD Satterthwaite, Y An, MK Hsieh, N Honnorat, ...
Neurobiology of aging 71, 41-50, 2018
|Estimating effects of craniofacial morphology on gingival recession and clinical attachment loss|
L Salti, B Holtfreter, C Pink, M Habes, R Biffar, S Kiliaridis, KF Krey, ...
Journal of clinical periodontology 44 (4), 363-371, 2017
|Regional tract-specific white matter hyperintensities are associated with patterns of aging-related brain atrophy via vascular risk factors, but also independently|
M Habes, G Erus, JB Toledo, N Bryan, D Janowitz, J Doshi, H Völzke, ...
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 10, 278-284, 2018
|Automated prostate segmentation in whole-body MRI scans for epidemiological studies|
M Habes, T Schiller, C Rosenberg, M Burchardt, W Hoffmann
Physics in Medicine & Biology 58 (17), 5899, 2013
|Precision diagnostics based on machine learning-derived imaging signatures|
C Davatzikos, A Sotiras, Y Fan, M Habes, G Erus, S Rathore, S Bakas, ...
Magnetic resonance imaging 64, 49-61, 2019