Artiklar med krav på offentlig åtkomst - Alzheimer's Disease Neuroimaging InitiativeLäs mer
Inte tillgängliga någonstans: 100
Granska
Fast and robust multi-atlas segmentation of brain magnetic resonance images
JMP Lötjönen, R Wolz, JR Koikkalainen, L Thurfjell, G Waldemar, ...
Neuroimage 49 (3), 2352-2365, 2010
Krav: US National Institutes of Health
Granska
Understanding disease progression and improving Alzheimer's disease clinical trials: Recent highlights from the Alzheimer's Disease Neuroimaging Initiative
DP Veitch, MW Weiner, PS Aisen, LA Beckett, NJ Cairns, RC Green, ...
Alzheimer's & Dementia 15 (1), 106-152, 2019
Krav: US National Institutes of Health
Granska
A novel imaging marker for small vessel disease based on skeletonization of white matter tracts and diffusion histograms
E Baykara, B Gesierich, R Adam, AM Tuladhar, JM Biesbroek, HL Koek, ...
Annals of neurology 80 (4), 581-592, 2016
Krav: US National Institutes of Health, Netherlands Organisation for Scientific …
Granska
Multi-modal classification of Alzheimer's disease using nonlinear graph fusion
T Tong, K Gray, Q Gao, L Chen, D Rueckert, ...
Pattern recognition 63, 171-181, 2017
Krav: US National Institutes of Health
Granska
RNN-based longitudinal analysis for diagnosis of Alzheimer’s disease
R Cui, M Liu, Alzheimer's Disease Neuroimaging Initiative
Computerized Medical Imaging and Graphics 73, 1-10, 2019
Krav: US National Institutes of Health, National Natural Science Foundation of China
Granska
Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease
M López, J Ramírez, JM Górriz, I Álvarez, D Salas-Gonzalez, F Segovia, ...
Neurocomputing 74 (8), 1260-1271, 2011
Krav: US National Institutes of Health
Granska
Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks
F Li, M Liu, Alzheimer's Disease Neuroimaging Initiative
Computerized Medical Imaging and Graphics 70, 101-110, 2018
Krav: National Natural Science Foundation of China
Granska
Gray matter atrophy pattern in elderly with subjective memory impairment
J Peter, L Scheef, A Abdulkadir, H Boecker, M Heneka, M Wagner, ...
Alzheimer's & Dementia 10 (1), 99-108, 2014
Krav: German Research Foundation
Granska
AddNeuroMed and ADNI: similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America
E Westman, A Simmons, JS Muehlboeck, P Mecocci, B Vellas, M Tsolaki, ...
Neuroimage 58 (3), 818-828, 2011
Krav: US National Institutes of Health
Granska
What is the clinically relevant change on the ADAS-Cog?
A Schrag, JM Schott, Alzheimer's Disease Neuroimaging Initiative
Journal of Neurology, Neurosurgery & Psychiatry 83 (2), 171-173, 2012
Krav: US National Institutes of Health
Granska
Improved longitudinal [18F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction
M Brendel, M Högenauer, A Delker, J Sauerbeck, P Bartenstein, J Seibyl, ...
Neuroimage 108, 450-459, 2015
Krav: US National Institutes of Health, Canadian Institutes of Health Research
Granska
Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST
ER Mulder, RA de Jong, DL Knol, RA van Schijndel, KS Cover, PJ Visser, ...
Neuroimage 92, 169-181, 2014
Krav: US National Institutes of Health, Canadian Institutes of Health Research
Granska
Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia
PT Trzepacz, P Yu, J Sun, K Schuh, M Case, MM Witte, H Hochstetler, ...
Neurobiology of aging 35 (1), 143-151, 2014
Krav: US National Institutes of Health, Canadian Institutes of Health Research
Granska
Predicting conversion from MCI to AD by integrating rs-fMRI and structural MRI
SH Hojjati, A Ebrahimzadeh, A Khazaee, A Babajani-Feremi, ...
Computers in biology and medicine 102, 30-39, 2018
Krav: US National Institutes of Health, Canadian Institutes of Health Research
Granska
A hybrid convolutional and recurrent neural network for hippocampus analysis in Alzheimer's disease
F Li, M Liu, Alzheimer's Disease Neuroimaging Initiative
Journal of neuroscience methods 323, 108-118, 2019
Krav: US National Institutes of Health, National Natural Science Foundation of China
Granska
Diurnal fluctuations in brain volume: statistical analyses of MRI from large populations
K Nakamura, RA Brown, S Narayanan, DL Collins, DL Arnold, ...
Neuroimage 118, 126-132, 2015
Krav: US National Institutes of Health
Granska
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease
W Shao, Y Peng, C Zu, M Wang, D Zhang, ...
Computerized Medical Imaging and Graphics 80, 101663, 2020
Krav: National Natural Science Foundation of China, Academy of Medical Sciences, UK
Granska
Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning
OB Ahmed, J Benois-Pineau, M Allard, G Catheline, CB Amar, ...
Neurocomputing 220, 98-110, 2017
Krav: US National Institutes of Health, Canadian Institutes of Health Research
Granska
How early can we predict Alzheimer's disease using computational anatomy?
S Adaszewski, J Dukart, F Kherif, R Frackowiak, B Draganski, ...
Neurobiology of aging 34 (12), 2815-2826, 2013
Krav: Swiss National Science Foundation, US National Institutes of Health …
Granska
An improved model for disease progression in patients from the Alzheimer's disease neuroimaging initiative
MN Samtani, M Farnum, V Lobanov, E Yang, N Raghavan, A DiBernardo, ...
The Journal of Clinical Pharmacology 52 (5), 629-644, 2012
Krav: US National Institutes of Health
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