Alzheimer's Disease Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

26 shown of 26 papers with code (61 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
  9 Feb 2020 4 repositories listed
  TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for…
• Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning
  28 May 2025 1 repository listed
  Although Alzheimer's disease detection via MRIs has advanced significantly thanks to contemporary deep learning models, challenges such as class imbalance, protocol variations, and limited dataset diversity often hinder…
• The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
  19 May 2025 1 repository listed
  To assist researchers in identifying optimal experimental strategies, this paper thoroughly investigates the role of data partitioning and cross-validation in evaluating EEG deep learning models.
• Radiogenomic Bipartite Graph Representation Learning for Alzheimer's Disease Detection
  14 May 2025 1 repository listed
  Imaging and genomic data offer distinct and rich features, and their integration can unveil new insights into the complex landscape of diseases.
• CQ CNN: A Hybrid Classical Quantum Convolutional Neural Network for Alzheimer's Disease Detection Using Diffusion Generated and U Net Segmented 3D MRI
  4 Mar 2025 1 repository listed
  The detection of Alzheimer disease (AD) from clinical MRI data is an active area of research in medical imaging.
• LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection
  2 Feb 2025 1 repository listed
  We pre-train the model on 11 EEG datasets and unified fine-tune it on 5 AD datasets.
• Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech
  20 Dec 2024 1 repository listed
  Alzheimer's Disease (AD) is a significant and growing public health concern.
• Profiling Patient Transcript Using Large Language Model Reasoning Augmentation for Alzheimer's Disease Detection
  19 Sep 2024 1 repository listed
  Alzheimer's disease (AD) stands as the predominant cause of dementia, characterized by a gradual decline in speech and language capabilities.
• Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
  4 Jul 2024 1 repository listed
  With the increasing incidence of neurodegenerative diseases such as Alzheimer's Disease (AD), there is a need for further research that enhances detection and monitoring of the diseases.
• AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans
  2 Jul 2024 1 repository listed
  To test our method and ensure the reproducibility of our results, we chose a standardized collection of MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
• Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern
  11 May 2024 1 repository listed
  This analysis is based on baseline structural MRI (sMRI) scans, extracting rich features from gray matter (GM), white matter (WM), Jacobian determinant (JD), and cortical thickness (CT) measurements.
• Alzheimer's disease detection in PSG signals
  4 Apr 2024 1 repository listed
  This study delves into the potential of utilizing sleep-related electroencephalography (EEG) signals acquired through polysomnography (PSG) for the early detection of AD.
• Dementia Assessment Using Mandarin Speech with an Attention-based Speech Recognition Encoder
  6 Oct 2023 1 repository listed
  Subsequently, we extracted the encoder from the speech recognition model and added a linear layer for dementia assessment.
• The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection
  13 Sep 2023 1 repository listed
  We investigate the impact of different data augmentation techniques and model complexity on the overall performance.
• Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data
  5 Jul 2023 1 repository listed
  As AD impairs the patient's language understanding and expression ability, the speech of AD patients can serve as an indicator of this disease.
• Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models
  2 Mar 2023 1 repository listed
  Transfer learning has remarkably improved computer vision.
• SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing
  27 Feb 2023 1 repository listed
  Paralinguistic speech processing is important in addressing many issues, such as sentiment and neurocognitive disorder analyses.
• Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
  18 Feb 2023 1 repository listed
  Harnessing the power of deep neural networks in the medical imaging domain is challenging due to the difficulties in acquiring large annotated datasets, especially for rare diseases, which involve high costs, time, and…
• Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection
  29 Oct 2022 1 repository listed
  Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and to delay further progression.
• Deep Multi-Branch CNN Architecture for Early Alzheimer's Detection from Brain MRIs
  22 Oct 2022 1 repository listed
  This model has three different convolutional branches with each having a different length.
• ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans
  19 Sep 2022 1 repository listed
  This study aims to create a reliable and ef cient system for classifying AD using MRI by applying the deep Convolutional Neural Network (CNN).
• Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection
  4 Apr 2022 1 repository listed
  Instead, while logistic regression is fully robust to dataset composition, we find that CNN performance is generally improved for both male and female subjects when including more female subjects in the training dataset.
• MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation
  2 Apr 2022 1 repository listed
  First, a multi-task learning network is proposed to implement AD detection and MMSE score prediction, which exploits feature correlation by adding three multi-task interaction layers between the backbones of the two…
• Convolutional neural networks for Alzheimer’s disease detection on MRI images
  29 Apr 2021 1 repository listed
  Conclusions: Several implementations and experiments using CNNs on MRI scans for AD detection demonstrated that the voxel-based method with transfer learning from ImageNet to MRI datasets using 3D CNNs considerably…
• Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans
  28 Nov 2020 1 repository listed
  Alzheimer's disease is one of the diseases that mostly affects older people without being a part of aging.
• The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech
  29 Nov 2018 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  We analyze the impact of age of the added samples and if they affect fairness in classification.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.