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Disruption of Functional Brain Networks in Alzheimer's Disease: What Can We Learn from Graph Spectral Analysis of Resting-State Magnetoencephalography?, , , , , and . Brain Connect., 2 (2): 45-55 (2012)Microglial activation in healthy aging., , , , , , , , , and 1 other author(s). NeuroImage, 52 (Supplement-1): S32 (2010)Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease., , , , , , , , , and 7 other author(s). CoRR, (2020)Single-Subject Gray Matter Graph Properties and Their Relationship with Cognitive Impairment in Early- and Late-Onset Alzheimer's Disease., , , , , , , , and . Brain Connect., 4 (5): 337-346 (2014)Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI., , , , , , , and . CoRR, (2023)Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge., , , , , , , , , and 34 other author(s). CoRR, (2019)Disrupted modular brain dynamics reflect cognitive dysfunction in Alzheimer's disease., , , , , and . NeuroImage, 59 (4): 3085-3093 (2012)Increased microglial activation in MCI and AD: An (R)-11CPK11195 PET study., , , , , , , , , and 2 other author(s). NeuroImage, 52 (Supplement-1): S146 (2010)A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation., , , , , , , , , and 2 other author(s). MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 104-112. (2016)Decreased P-glycoprotein function at the blood-brain barrier in patients with Alzheimer's disease as shown by (R)-11Cverapamil and PET., , , , , , , , , and . NeuroImage, 52 (Supplement-1): S53 (2010)