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Newest in this topic

  1. Tau-CTFP: A connectome-informed continuous-time first-passage model for forecasting the onset of regional tau PET abnormality 2026-10-30
  2. A Wasserstein Weisfeiler-Lehman Kernel Framework for Multimodal Brain Connectome Analysis 2026-10-29
  3. Current gaps in downstream applications of fMRI foundation models: lessons learned from BrainLM & BrainHarmonix on Prevent-AD 2026-10-26

Studies

205 studies carry this tag.

Date range

2006 to 2026

Top journals

  • Research Square 22
  • medRxiv 22
  • NeuroImage 14
  • bioRxiv 14
  • Preprints.org 7

87 journals in all.

Newest first, then by address. Each study has a usefulness score out of 100 (rubric version 4.0); tap a score to see what makes it up. Tags were assigned automatically from each study's title and summary. The same studies as a filter in the library.

  1. Boosting power for clinical trials using classifiers based on multiple biomarkers

    ✓ Peer-reviewed alzhub usefulness score 36 out of 100. Neurobiology of aging 2010-06-11 Digital health tools

    Machine learning methods pool diverse information to perform computer-assisted diagnosis and predict future clinical decline.

  2. Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters

    ✓ Peer-reviewed alzhub usefulness score 36 out of 100. NeuroImage 2010-01-11 Brain scans and imaging

    The early identification of brain anatomy deviating from the normal pattern of growth and atrophy, such as in Alzheimer's disease (AD), has the potential to improve clinical outcomes through early intervention.

  3. Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

    ✓ Peer-reviewed alzhub usefulness score 36 out of 100. NeuroImage 2009-05-27 Digital health tools

    Structural and functional brain images are playing an important role in helping us understand the changes associated with neurological disorders such as Alzheimer's disease (AD).

  4. Image-driven population analysis through mixture modeling

    ✓ Peer-reviewed alzhub usefulness score 43 out of 100. IEEE transactions on medical imaging 2009-03-24 Digital health tools

    We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model.

  5. Application and comparison of classification algorithms for recognition of Alzheimer's disease in electrical brain activity (EEG)

    ✓ Peer-reviewed alzhub usefulness score 45 out of 100. Journal of neuroscience methods 2006-12-06 Digital health tools

    The early detection of subjects with probable Alzheimer's disease (AD) is crucial for effective appliance of treatment strategies.

From across this tag

9 of the 205 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 9. The same 9 appear here every time.

All topic tags with their study counts