Alzheimer's Disease Classification

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Overview

Alzheimer’s disease classification aims to distinguish cognitively healthy people, mild cognitive impairment, and Alzheimer’s disease, and to identify who may progress from one stage to another. Common inputs include MRI and PET scans, EEG, speech or handwriting, and clinical or cognitive measures, analyzed with methods such as convolutional networks, graph learning, transformers, and multimodal fusion. Researchers also study interpretable predictions, calibrated uncertainty, longitudinal models, and systems that can work when some tests are missing or costly. A central challenge is whether strong results transfer across cohorts, populations, and clinical settings, since data leakage, inconsistent evaluation, and changes in scanners or speech collection can undermine apparent accuracy.

Latest papers

CardsList

92 papers10 papers in the last four weeks, down 9% on the four weeks before. 0.1% of all new papers.

  1. BRIDGE: Learning Brain-Gut Metabolic Evidence for Alzheimer's Disease Diagnosis

    Oct 29, 2026Pengli Zhu, Ruxi Chang, Tianliang Yao +7Alzheimer's Disease ClassificationMedical Imaging

    Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China · PET/CT Center, The First Affiliated Hospital of Xi’an Jiaotong University, No. 277 Yanta West Road, Xi’an 710061, China

  2. Systematic Morphometric Brain Autoencoding for Representation Learning in Neurodegenerative Diseases

    Oct 27, 2026Nuria Balbás-Esteban, Albert Belenguer-Llorens, Elaheh Moradi +3Medical Image Representation LearningSelf-Supervised Pre-Training

    Department of Signal Processing and Communications, Universidad Carlos III de Madrid, Leganés, 28911, Madrid, Spain · Department of Health Sciences and Technology (DHEST), ETH Zurich, 8092, Zürich, Switzerland · SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland +2

  3. How Robust Are CNNs and Vision Transformers for Alzheimer's MRI Classification Across Datasets?

    Oct 24, 2026Hafija Aktar, Molly Croes, Frank S. Menniti +1Alzheimer's Disease ClassificationCross-Dataset Generalization

    Department of Computer Science, University of Rhode Island, Kingston, RI 02881, USA · Department of Biomedical and Pharmaceutical Sciences, George & Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, RI 02881, USA

  4. EigenGradCAM with AugSmooth: Enhancing Explainability and Precision in Multi-Stage Alzheimer's Disease Detection

    Oct 23, 2026Arsham Azam, Sagar Ashraf, Tayyaba Farhat +2Alzheimer's Disease ClassificationExplainable Medical Image Analysis

    Faculty of Computer Science and Information Technology, The Superior University, Lahore 54600, Pakistan · Intelligent Data Visual Computing Research (IDVCR), Lahore 54600, Pakistan · HospiceMD, Inc., West Covina, California, USA +1

  5. NarraSpace: Multimodal Scene-Grounded Evidence for Picture-Description Dementia Classification

    Oct 20, 2026Qingming Li, Ruiyan Sun, Satoshi NakamuraSpeech-Based Dementia DetectionAlzheimer's Disease Classification

    The Chinese University of Hong Kong Shenzhen

  6. Cross-disorder Learning of Imaging-derived Joint Mophometric Markers in Alzheimer's and Parkinson's Diseases

    Oct 19, 2026Yuji Zhao, Boris GutmanParkinson's Disease ClassificationMedical Diagnosis

    Laboratory for Modeling and Computation in Imaging and Genetics (LAMCIG), Medical Imaging Research Center, Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, United States of America

  7. Dual Task Vector Merging: Leveraging Emotion and ASR Knowledge for Low-Resource Alzheimer's Disease Detection

    Oct 17, 2026Yuan-Chao Li, Yin-Long Liu, Liu He +5Speech-Based Dementia DetectionAlzheimer's Disease Classification

    University of Cambridge, UK · University of Science and Technology of China, China

  8. HybridDualPathNet: Cross-Fusion Attention of EfficientNetV2 and Swin Transformer for Brain MRI Classification of Alzheimer's and Parkinson's Disease

    Oct 12, 2026Jarpula Nirjala, Rahul PatelParkinson's Disease ClassificationMedical Image Classification

    Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Surat, India

  9. CoPoE: Multimodal Fusion via Decomposable Disease-Coordinate Product-of-Experts for Missing-Modality Alzheimer's Diagnosis

    Oct 8, 2026Chihun An, Ikbeom JangAlzheimer's Disease ClassificationMultimodal Fusion

    Department of Artificial Intelligence Hanyang University Seoul, Republic of Korea · Division of Computer Engineering Hankuk University of Foreign Studies Yongin, Republic of Korea

  10. Leakage-Controlled Multimodal Learning for Diagnosis and Progression Prediction in Alzheimer's Disease Research

    Oct 7, 2026Akeem Temitope Otapo, Ghazaleh Khodabandelou, Zuheng Ming +1Alzheimer's Disease Progression PredictionAlzheimer's Disease Classification

  11. SCOPE-AD: Sequential cost-aware ordinal-belief planning with energy-based models for diagnostic agents

    Oct 1, 2026Ziwen Yu, Ivan Koychev, Elizabeth Coulthard +7Cost-Aware InferenceModel-Based Planning

    University of Bristol, Bristol, UK · Imperial College London, London, UK · Hunan Normal University, Changsha, China +1

  12. Evidence Before Accuracy: A MRI-PET Fusion Network for Alzheimer Disease Classification with Causal Regional Validation

    Sep 28, 2026Saeid Firouzi Daghigh, Saeed AyatAlzheimer's Disease ClassificationExplainable Medical Image Analysis

    Department of Computer Engineering and Information Technology, Payame Noor University, Tehran, Iran

  13. Why Alzheimer's Speech Screening Fails to Generalize: Bridging the Deployment Gap via Cross-Corpus Evidence Anchoring

    Sep 25, 2026Zijian Lu, Sizhe Liu, Yin Zhang +6Speech-Based Dementia DetectionDomain Generalization

    Nanjing University of Posts and Telecommunications, Nanjing, China · University of Science and Technology of China, Hefei, China · Shouyi Technology, Hefei, China +1

  14. Segment-Level Risk Discovery in Online Handwriting for Alzheimer's Disease Detection

    Sep 24, 2026Changqing Gong, Huafeng Qin, Mounîm A. El-YacoubiAlzheimer's Disease Classification

    Telecom SudParis, Institut Polytechnique de Paris, 91120 Palaiseau, France · School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing 400067, China

  15. M2^2PFN: End-to-End Disentangled Alignment for Generalizable Multimodal In-Context Learning in Alzheimer's Disease

    Sep 23, 2026Lujia Zhong, Shuo Huang, Jianwei Zhang +2Multimodal Disentangled Representation LearningMultimodal ICL

    Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA · Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA · Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA

  16. HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification

    Sep 17, 2026Proloy Kumar Mondal, Md Kamran Hussin Chowdhury, Hoi Leong LeeMedical DiagnosisMulti-Scale Feature Fusion

    Department of Computer Science and Engineering, University of North Texas, Denton, Texas, USA · Inje University, Gimhae-si, Republic of Korea · Faculty of Electronic Engineering and Technology, Universiti Malaysia Perlis, Arau, Malaysia

  17. Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI

    Sep 14, 2026Paul-Gabriel Nicolae, Irina Georgiana MocanuData LeakageAlzheimer's Disease Classification

    Computer Science and Engineering Department, Faculty of Automatic Control and Computers, National University of Science and Technology POLITEHNICA Bucharest, Romania

  18. Robust Cross-Domain Speech-Based Alzheimer's Disease Detection via Iterative Adversarial Self-Training

    Sep 12, 2026Luqi Sun, Shreeram Suresh Chandra, Aurosweta Mahapatra +3Speech-Based Dementia DetectionAlzheimer's Disease Classification

    Johns Hopkins University Baltimore, USA · University of Michigan Ann Arbor, USA · Carnegie Mellon University Pittsburgh, USA

  19. A Multimodal Explainable Deep Learning Framework for Alzheimer's Disease Diagnosis using 3D Magnetic Resonance Imaging and Clinical Data

    Sep 11, 2026Yusuf Brima, Marcellin Atemkeng, Lakshmana Rao Namamula +13D Medical ImagingMultimodal Classification

    Computer Vision, Institute of Cognitive Science, Osnabrück University, Germany. · Department of Mathematics, Rhodes University, South Africa. · National Institute for Theoretical and Computational Sciences (NITheCS), Stellenbosch, 7600, South Africa. +2

  20. LLM-Anchored Paralinguistic Enrichment for Alzheimer's Disease Detection

    Sep 9, 2026Xiao Wei, Yuqin Lin, Yaru Cao +6Speech-Based Dementia DetectionSpeech Prosody

    Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China · College of Computer and Data Science, Fuzhou University, Fuzhou, China +1

  21. Robust Rank Aggregation for Multimodal Speech-Based Alzheimer's Disease Detection

    Sep 9, 2026Zemin Jin, Tomoko MatsuiSpeech-Based Dementia DetectionAlzheimer's Disease Classification

    The Chinese University of Hong Kong, Shenzhen, China · Center for Language, Intelligence and Machines (LIMA), Shenzhen Loop Area Institute (SLAI), Shenzhen, China

  22. A Generalizable Feature Extractor for Alzheimer's-Related Brain MRI Tasks

    Sep 4, 2026Reza Rajabli, D. Louis CollinsMedical Imaging Foundation ModelsTransfer Learning

    McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University · Department of Biomedical Engineering, McGill University

  23. Cleaner Speech, Weaker Generalization: Revisiting Pitt-Derived Benchmarks for Alzheimer's Disease Detection

    Aug 31, 2026Luqi Sun, Shreeram Suresh Chandra, Lin Zhang +5Speech-Based Dementia DetectionSpeech Enhancement

    Center for Language and Speech Processing (CLSP), Johns Hopkins University · Research Center for Information Technology Innovation, Academia Sinica · University of Michigan, Ann Arbor +1

  24. GraM-Diff: A Unified Graph-Mamba Diffusion Framework for EEG-Based Alzheimer's Disease Data Generation and Diagnosis

    Aug 30, 2026M. Tanveer, Ayush Singh Rana, Sanskriti Jain +5Synthetic Data AugmentationElectroencephalography

    Indian Institute of Technology Indore, Indore 453552, Madhya Pradesh, India

  25. Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease

    Aug 27, 2026Maggie Lin, Chung-Lin Hou, Tzyy-Ping JungAlzheimer's Disease ClassificationElectroencephalography

    Department of Bioengineering University of California, San Diego La Jolla, CA 92037, USA · Research and Development HippoScreen Neurotech Corp. Taipei, Taiwan · Swartz Center for Computational Neuroscience University of California, San Diego La Jolla, CA 92037, USA

  26. PANDA - Prototype-Anchored Alignment for Partially Unpaired Multimodal Learning, with Applications to Alzheimers MRI and TCGA Pathology

    Aug 26, 2026Sheethal Bhat, Mahfuzur Rahman Chowdhury, Paula Andrea Perez-Toro +4Multimodal LearningMissing-Modality Learning

    Pattern Recognition Lab, Friedrich-Alexander-Universität, Erlangen-Nürnberg, Germany. · Department of Neurology, Klinikum Nürnberg, Paracelsus Medical University, Nürnberg, Germany. · Department of Radiology, LMU University Hospital, LMU Medizin, Ludwig-Maximilians-Universität München, Munich, Germany. +1

  27. Modality Contribution Score - A Per-Patient Framework for Quantifying the Relative Diagnostic Contribution of Structural MRI and Amyloid PET in Alzheimer's Disease

    Aug 23, 2026Dawa Chyophel Lepcha, Aaliya Ali, Sophie A. Martin +3Multimodal Model InterpretabilityNeuroimaging

    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, 235, Taiwan. · International Center for Health Information Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, 235, Taiwan. · Biomedical Sensors & Systems Lab, University of Memphis, Memphis, TN 38152, USA +7

  28. Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detection

    Aug 18, 2026Chanwoo Park, Chanwoo KimAlzheimer's Disease ClassificationElectroencephalography

    Department of Artificial Intelligence Korea University Seoul, Republic of Korea

  29. Decoupling Parcellation from Classification: Systematic Benchmark of Fast Brain Segmentation Methods for Alzheimer's Disease Detection

    Aug 17, 2026Jiadao Zou, Hongyu Guo, Wei XiNeuroimagingMedical Image Segmentation

    Midea Group (Shanghai)

  30. Emergence of Transfer Learning towards Specific Identification of Alzheimer's Disease A Prospective Approach

    Aug 13, 2026Soumik Podder, Chandramouli HaldarAlzheimer's Disease ClassificationTransfer Learning

    Department of Basic Science and Humanities Institute of Engineering and Management (IEM), University of Engineering and Management Kolkata Kolkata, India · Department of Computer Science and Engineering Guru Nanak Institute of Technology Kolkata, India