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    Distinct cerebrovascular pathways underlying Alzheimer’s disease-related neurodegeneration
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    pmc.ncbi.nlm.nih.gov/articles/PMC12698743/
  3. Sep 2025
  4. www.scienceopen.com www.scienceopen.com
    Comprehensive Evaluation of Pre-trained Neural Networks for Alzheimer’s Disease Classification Using Transfer Learning
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    scienceopen.com/hosted-document
  5. Aug 2024
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    CAT: a computational anatomy toolbox for the analysis of structural MRI data
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    ncbi.nlm.nih.gov/pmc/articles/PMC11299546/
  7. Jul 2024
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    Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer’s disease progression
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    sciencedirect.com/science/article/pii/S2589004224014883
  9. Apr 2024
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    Light3DHS: A lightweight 3D hippocampus segmentation method using multiscale convolution attention and vision transforme
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    sciencedirect.com/science/article/pii/S1053811924001034
  11. Aug 2023
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    Deep learning for risk-based stratification of cognitively impaired individuals
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    sciencedirect.com/science/article/pii/S2589004223015997
  13. Dec 2022
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    Longitudinal Cognitive and Biomarker Measurements Support a Unidirectional Pathway in Alzheimer’s Disease Pathophysiology
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    ncbi.nlm.nih.gov/pmc/articles/PMC9682985/
  15. Jul 2022
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    Integrated Transcriptomic and Neuroimaging Brain Model Decodes Biological Mechanisms in Aging and Alzheimer’s Disease
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    medrxiv.org/content/10.1101/2021.02.23.21252283v1
  17. Aug 2021
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    link.springer.com/article/10.1007/s12021-019-9415-3
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  21. Jul 2021
  22. www.eneuro.org www.eneuro.org
    Atypical Localization and Dissociation between Glucose Uptake and Amyloid Deposition in Cognitively Normal APOE*E4 Homozygotic Elders Compared with Patients with Late-Onset Alzheimer’s Disease
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    eneuro.org/content/5/1/ENEURO.0396-17.2018
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    Combining a Patch-based Approach with a Non-rigid Registration-based Label Fusion Method for the Hippocampal Segmentation in Alzheimer’s Disease
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    link.springer.com/article/10.1007/s12021-017-9323-3
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    ncbi.nlm.nih.gov/pmc/articles/PMC6378694/
  25. May 2021
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    Integrated transcriptomic and neuroimaging brain model decodes biological mechanisms in aging and Alzheimer’s disease
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    elifesciences.org/articles/62589
  27. Sep 2020
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    Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease
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    link.springer.com/article/10.1007/s12021-020-09469-5
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    Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging
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    link.springer.com/article/10.1007/s12021-020-09470-y
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    Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change
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    link.springer.com/article/10.1007/s12021-019-09439-6
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    Interregional causal influences of brain metabolic activity reveal the spread of aging effects during normal aging
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    ncbi.nlm.nih.gov/pmc/articles/PMC6865473/
  32. Jan 2020
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    Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
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    sciencedirect.com/science/article/pii/S2213158219303535
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    Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification
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    frontiersin.org/article/10.3389/fnagi.2019.00194/full
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    FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation
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    link.springer.com/article/10.1007/s12021-019-09448-5
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  40. May 2019
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    Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia
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    link.springer.com/article/10.1007/s12021-015-9292-3
  42. Nov 2018
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    link.springer.com/article/10.1007/s12021-018-9390-0
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    A Robust Reduced Rank Graph Regression Method for Neuroimaging Genetic Analysis
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    link.springer.com/article/10.1007/s12021-018-9382-0
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    Cognitive Assessment Prediction in Alzheimer’s Disease by Multi-Layer Multi-Target Regression
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    link.springer.com/article/10.1007/s12021-018-9381-1
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    Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer’s Disease Diagnosis
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    link.springer.com/article/10.1007/s12021-018-9370-4
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    Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation
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    link.springer.com/article/10.1007/s12021-018-9364-2
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    A Spatial Registration Toolbox for Structural MR Imaging of the Aging Brain
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    link.springer.com/article/10.1007/s12021-018-9355-3
  49. Nov 2017
  50. onlinelibrary.wiley.com onlinelibrary.wiley.com
    The interactive effect of demographic and clinical factors on hippocampal volume: A multicohort study on 1958 cognitively normal individuals
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    onlinelibrary.wiley.com/doi/10.1002/hipo.22721/full
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    A Comparison of Accelerated and Non-accelerated MRI Scans for Brain Volume and Boundary Shift Integral Measures of Volume Change: Evidence from the ADNI Dataset
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    link.springer.com/article/10.1007/s12021-017-9326-0
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    Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification
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    link.springer.com/article/10.1007/s12021-017-9330-4
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    NPTX2 and cognitive dysfunction in Alzheimer’s Disease
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    elifesciences.org/content/6/e23798
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    Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease
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    link.springer.com/article/10.1007/s12021-016-9318-5
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    Validation of 18F–FDG-PET Single-Subject Optimized SPM Procedure with Different PET Scanners
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    link.springer.com/article/10.1007/s12021-016-9322-9
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    Metric Learning for Multi-atlas based Segmentation of Hippocampus
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    link.springer.com/article/10.1007/s12021-016-9312-y/fulltext.html
  57. www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
    Clinical prediction from structural brain MRI scans: A large-scale empirical study
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    ncbi.nlm.nih.gov/pmc/articles/PMC4303550/