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Alzheimers-disease

Published on
June 5, 2025
Identifying Alzheimer’s Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
medical-AI Layer-wise-Relevance-Propagation R2*-maps deep-learning convolutional-neural-networks Alzheimer's-disease spectral-clustering t-Stochastic-Neighbor-Embedding classification-strategies interpretability
• Department of Neurology, Medical University of Graz, Graz, Austria
Published on
June 5, 2025
petBrain: A New Pipeline for Amyloid, Tau Tangles and Neurodegeneration Quantification Using PET and MRI
amyloid-plaques neurodegeneration MRI web-based-platform PET neurofibrillary-tangles Alzheimer’s-disease clinical-research deep-learning biomarker-quantification
Published on
June 5, 2025
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection
AD-diagnosis neurodegenerative-disorder linguistic-abnormalities in-context-learning KNN-based-retriever Alzheimer's-Disease Large-Language-Models state-of-the-art-results demonstration-selection
• Department of Computer Science, The University of British Columbia, Vancouver, BC, Canada• Vancouver Stroke Program and Division of Neurology, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada
Published on
June 4, 2025
Alzheimers Disease Classification in Functional MRI With 4D Joint Temporal-Spatial Kernels in Novel 4D CNN Model
rs-fMRI diagnosis functional-MRI classification disease-progression temporal-spatial-kernels 4D-convolution-network spatial-temporal-data cognitive-performance Alzheimers-Disease
Published on
June 3, 2025
GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes
single-nucleotide-polymorphisms genetic-features teacher-student-role-exchange ADNI-public-dataset multimodal-data-fusion deep-learning-methods high-risk-genes model-interpretability Alzheimer's-disease imaging-features dominant-modality-selection contrastive-self-distillation
Published on
June 3, 2025
Uncertainty-Aware Genomic Classification of Alzheimer’s Disease: A Transformer-Based Ensemble Approach with Monte Carlo Dropout
Monte-Carlo-Dropout uncertainty-estimation genomic-classification whole-genome-sequencing single-nucleotide-polymorphism Alzheimer's-disease random-forest receiver-operating-characteristic accuracy transformer-based-ensemble-model
Published on
June 3, 2025
CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer’s Detection
audio-and-textual-modalities word-level-temporal-alignment state-of-the-art-methods multimodal-architecture prosodic-cues ADReSSo-dataset accuracy Alzheimer's-disease cognitive-disorders Gated-Cross-Attention-Fusion interword-pauses token-level-fusion-techniques
• Department of Computer Science and Technology, University of Alicante, Alicante, Spain• Department of Computer Science and Technology, University of Alicante, Alicante, Spain; Valencian Graduate School and Research Network of Artificial Intelligence, Valencia, Spain• Department of Software and Computing Systems, University of Alicante, Alicante, Spain
Published on
June 2, 2025
Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer’s Disease
scientific-rigor simulated-research-team research-reproducibility Alzheimer's-disease statistical-methods Large-Language-Models NACC-dataset autonomous-agents
• Department of Biomedical Informatics, University of Utah