Alzheimer's Disease

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The field investigates how amyloid and tau pathology, brain structure and function, and cognitive changes relate to Alzheimer’s disease and its progression. Researchers use MRI and PET, blood and genetic biomarkers, EEG, speech, and clinical records, applying methods such as multimodal learning, graph models, and longitudinal survival or state-space models. These approaches aim to detect disease earlier, distinguish who will progress, and support personalized care when data are sparse or irregular. A central challenge is showing that models generalize across people, sites, and devices, and that their predictions are calibrated and useful in clinical practice.

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51 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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 Classification Explainable 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
Riemannian Shape Analysis of the Corpus Callosum in Kendall Space: Aging and Alzheimer's Disease
Oct 4, 2026Olakunle S. Abawonse, Fatou FallAlzheimer's Disease Statistical Shape Modeling
African Institute for Mathematical Sciences (AIMS), Rwanda · African Institute for Mathematical Sciences (AIMS), Senegal
DementiaCare-Bench: A Modality-Validated Video Benchmark
Sep 11, 2026Afrouz Sheikholeslami, Yuankai Qi, Xuyun Zhang +4Alzheimer's Disease Healthcare
School of Computing, Macquarie University, Sydney, NSW, Australia · School of Electrical and Computer Engineering, University of Sydney, Sydney, NSW, Australia · University of California, Merced, CA, USA
Brain-PACE: A Deep Siamese MRI Framework for Modelling Longitudinal Brain Acceleration
Sep 10, 2026Samuel Maddox, Jacob Newman, Saber Sami +4Alzheimer's Disease Brain Age Prediction
School of Computing Sciences, University of East Anglia · Norwich Medical School, University of East Anglia
Activation-Guided Neuron Intervention to Induce Alzheimer's-Related Computational Language Phenotypes in a Large Language Model
Aug 4, 2026Rui He, Ercong Nie, Hong Jiang +3Alzheimer's Disease LLM Interpretability
Grammar and Cognition Lab, Department of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain. · School of Foreign Languages, Shanghai Jiao Tong University, Shanghai, China. · Zhuhai People’s Hospital (The Affiliated Hospital of Beijing Institute of Technology, Zhuhai Clinical Medical College of Jinan University), Zhuhai, China. +4
A Neurosymbolic Approach for Explainable Early Diagnosis of Alzheimer's Disease
Jul 31, 2026Ranveer Singh, Pranuthi Tenali, Saurabh Mathur +6Alzheimer's Disease Interpretable ML
The University of Texas at Dallas, Richardson, TX · TU Darmstadt, Germany · Swarthmore College, PA +1
Technological Advances in Detecting and Managing Cognitive Impairment in Older Adults: Trends, Challenges, and Future Directions
Jul 30, 2026Mohammad Asif, Azizuddin Khan, Mohd Azam +1Alzheimer's Disease
Indian Institute of Technology Bombay, Mumbai 400076, India · T-Systems ICT India Pvt. Ltd., Pune, India
An Attention-Based Framework for Alzheimers Disease Classification Using Resting-State fMRI
Jul 29, 2026Harshiddhi Pathak, Gowtham Reddy N, Mrinal Acharya +1Alzheimer's Disease Functional Connectivity
School of Medical Science and Technology · Department of Computer Science and Engineering at the Indian Institute of Technology Gandhinagar · Dr B C Roy Multi Speciality Medical Research Centre, Indian Institute of Technology Kharagpur, India
AT-Attn: Temporal-Aware Cross-Attention for Longitudinal Multimodal Alzheimer's Disease Diagnosis
Jul 8, 2026Xinyue Du, Yibo Liu, Zhenglei Zhou +3Alzheimer's Disease Longitudinal Medical Image Analysis
School of Information Science and Engineering, East China University of Science and Technology, China · School of Computer Science, Shanghai Jiao Tong University, China · Tencent, China
NeuroBridge: Bridging Multi-Task MRI Knowledge for Neurodegenerative Disease Diagnosis
Jul 1, 2026Mengyu Li, Guoyao Shen, Chad W. Farris +1Alzheimer's Disease Medical Diagnosis
Department of Mechanical Engineering, Boston University, Boston, MA 02215, United States · The Photonics Center, Boston University, Boston, MA 02215, United States · Rafik B. Hariri Institute for Computing and Computational Science & Engineering, Boston University, Boston, MA, 02215, United States +5
Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detection
Jun 30, 2026Jinyu Li, Xiao Wei, Bin Wen +5Alzheimer's Disease Graph Attention Networks
School of Future Technology, 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
Neural operator-based digital twins for modeling amyloid- $β$ and tau propagation and treatment optimization in Alzheimer's disease
Jun 23, 2026Xiaofeng Xu, Tingting Dan, Zifan Zhou +3Alzheimer's Disease PDE Operator Learning
Department of Mathematics, Pennsylvania State University, University Park, PA 16802, USA · Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · School of Electrical Engineering and Computer Science, Pennsylvania State University, University Park, PA 16802, USA +3
Structural MRI Synthesis for Alzheimer's Disease via Conditional Diffusion on Anatomical Masks
Jun 16, 2026Muge Zhang, Muhammad Ali Khaliq, Jamal Alsakran +2Synthetic Data Augmentation Alzheimer's Disease
Fairleigh Dickinson University, Vancouver, BC, Canada · University of Colorado at Colorado Springs, Colorado Springs, CO, USA
A Quantitative Analysis of Multimodal Biomarkers in Alzheimer's Disease
Jun 16, 2026Antonio Scardace, Daniele RavìAlzheimer's Disease Disease Progression Modeling
Department of Mathematics and Computer Science University of Catania Catania, Italy · Department MIFT University of Messina Messina, Italy
Unifying Acoustic Features and Text with Multimodal LLMs for Neurodegenerative Screening
Jun 10, 2026Qingfeng Zhang, Yuanxiong Guo, Yanmin GongAlzheimer's Disease Multimodal Large Language Models
Dept. of Information Systems and Cybersecurity The University of Texas at San Antonio San Antonio, TX, USA · School of Engineering Medicine Texas A&M University Houston, TX, USA
Multimodal Ordinal Modeling of Alzheimer's Disease Severity Using Structural MRI and Clinical Data
Jun 10, 2026Boris-Stephan Rauchmann, Jonathan Laib, Buse Ercik +2Alzheimer's Disease Medical Image Classification
Department of Neuroradiology, LMU University Hospital, Ludwig Maximilian University of Munich, Munich, Germany · Department of Psychiatry and Psychotherapy, LMU University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
Reconstructing and forecasting disease trajectories of patients with Alzheimer's disease using routine data in resource-constrained settings
Jun 5, 2026Ratnadeep Das, Atri Chatterjee, Sitikantha RoyAlzheimer's Disease Clinical Outcome Prediction
Yardi School of Artificial Intelligence (ScAI), Indian Institute of Technology Delhi, Hauz Khas, Delhi, 110016, India · Department of Neurology, Vardhman Mahavir Medical College and Safdarjung Hospital, Delhi, 110029, India · Department of Applied Mechanics, Indian Institute of Technology Delhi, Hauz Khas, Delhi, 110016, India
Cross-scale spatially-aware generative modeling of transcriptomic programs underlying neurodegenerative brain organization
Jun 4, 2026Krishnakumar VaithianathanAlzheimer's Disease Generative Modeling
for the Alzheimer's Disease Neuroimaging Initiative · Department of Computer Engineering, Karaikal Polytechnic College,2026 Karaikal, Puducherry, India.
Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification
Jun 3, 2026Yogesh Kumar, Vrushank Ahire, Mudasir GanaieAlzheimer's Disease Medical Image Classification
Dept. of Computer Science and Engineering, IIT Ropar, Punjab 140001, India
SC-TauPath: A Structural Connectivity Attribution Framework for Mapping Tau Propagation Pathways in Alzheimer's Disease
Jun 2, 2026Jing Zhang, Norman Scheel, Minheng Chen +5Alzheimer's Disease Neuroimaging
University of Texas at Arlington, Arlington, TX, USA · Michigan State University, East Lansing, MI, USA · University of Texas Southwestern Medical Center, Dallas, TX, USA
Bayesian meta-learning for modeling Alzheimer's disease progression
Jun 1, 2026Clara Hoffmann, Nadja KleinAlzheimer's Disease Meta-Learning
Scientific Computing Center, Karlsruhe Institute of Technology, Germany
Brain-Atlas-Guided Generative Counterfactual Attention for Explainable Cognitive Decline Diagnosis Using Multimodal Connectomes
May 31, 2026Xiongri Shen, Jiaqi Wang, Zhenxi Song +5Alzheimer's Disease Counterfactual Explanations
Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China · School of Intelligence Science and Engineering, College of Artificial Intelligence, Harbin Institute of Technology, Shenzhen, 518055, China · School of Biomedical Engineering, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical, Measurements and Ultrasound Imaging, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518055, China
Medication-Aware Financial Exploitation Detection for Alzheimer's Patients Using Edge-Aware Interaction Risk Modeling
May 30, 2026Farzana Akter, Lisan Al Amin, Rakib Hossain +2Alzheimer's Disease Feature Interaction Modeling
Cognitive Links LLC, Maryland, USA · University of Maryland, College Park, USA
vSV-ViT: Variable-size SuperVertex Vision Transformer for Cortical Surface Learning in Alzheimer's Disease
May 26, 2026Geonwoo Baek, Ikbeom JangAlzheimer's Disease 3D ViTs
Department of Computer Science and Engineering, Hankuk University of Foreign Studies, Seoul, Republic of Korea
PRA-PoE: Robust Multimodal Alzheimer's Diagnosis with Arbitrary Missing Modalities
May 13, 2026Guangqian Yang, Ye Du, Wenlong Hou +2Missing-Modality Learning Alzheimer's Disease
Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China · Department of Technology Management for Innovation, The University of Tokyo,2026 Japan · Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR, China
When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI
May 12, 2026Louise E. G. Baron, Ross Callaghan, David M. Cash +3Alzheimer's Disease Medical Image Synthesis
Hawkes Institute, University College London, UK · Department of Medical Physics and Biomedical Engineering, University College London, UK · AINOSTICS Ltd, Manchester, UK +3
AI-Care: A Conversational Agentic System for Task Coordination in Alzheimer's Disease Care
May 8, 2026Preyash Yadav, Michelle Cohn, Priyanka Koppolu +5Alzheimer's Disease Tool-Using Agents
Department of Computer Science University of California, Davis Davis, USA · Department of Linguistics University of California, Davis Davis, USA · Department of Neurology University of California, Davis Sacramento, USA +1
Forecasting Medium-Horizon Alzheimer's Disease Progression: Residual Gap-Aware Transformers for 24-Month CDR-SB Change from ADNI Clinical and Biomarker Histories
May 4, 2026Ran Tong, Tong Wang, Lanruo Wang +1Residual Learning Alzheimer's Disease
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, TX 75080, United States · Department of Plant Science and Landscape Architecture, University of Connecticut, Storrs, CT, United States · Naveen Jindal School of Management, University of Texas at Dallas, Richardson, TX 75080, United States +1
GeoSAE: Geometric Prior-Guided Layer-Wise Sparse Autoencoder Annotation of Brain MRI Foundation Models
May 3, 2026Favour Nerrise, Lucy Yin, Mohammad H. Abbasi +2Alzheimer's Disease Medical Imaging Foundation Models
Stanford University · Stanford University, CA
Prediction of Alzheimer's Disease Risk Factors from Retinal Images via Deep Learning: Development and Validation of Biologically Relevant Morphological Associations in the UK Biobank
May 1, 2026Seowung Leem, Yunchao Yang, Adam J. Woods +1Alzheimer's Disease Medical Image Analysis
1J. Crayton Pruitt Family Dept. of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA · University of Florida Research Computing, University of Florida, Gainesville, FL 32611, USA · Meta AI (FAIR) +4

Oct 23, 2026J/K move · Enter open · S save

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

Arsham Azam, Sagar Ashraf, Tayyaba Farhat, Rasikh Ali+1

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

Alzheimer's Disease Classification Explainable Medical Image Analysis Alzheimer's Disease Gradient-Based Attribution

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Alzheimer's disease (AD) is a progressive neurological disorder associated with memory loss, cognitive decline, and behavioral disturbances. Early and accurate diagnosis is essential, yet MRI-based deep learning models often lack interpretability, limiting their clinical use. This study presents an explainable deep learning approach for four-class AD staging using 2D axial MRI images. The method combines eigenvector-based Grad-CAM with gradient smoothing to improve saliency localization and heatmap stability. Principal component analysis is applied to gradient-weighted convolutional layers, while Gaussian noise is added to saliency weights before decomposition. To address class imbalance in the Moderate Dementia category, Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) generates synthetic samples to balance the four-stage training distribution. Custom convolutional neural networks are trained on the Best Alzheimer MRI Dataset, achieving 97.2% test accuracy, 97.0% balanced accuracy, and a Matthews correlation coefficient of 0.944. The area under the ROC curve ranges from 0.96 to 0.99 across classes. Generated heatmaps highlight the hippocampus and entorhinal cortex, regions associated with Alzheimer's disease biomarkers. These findings suggest that the proposed approach combines strong classification performance with improved model interpretability, although further clinical validation is needed.