Alzheimer's Disease Classification

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Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised $β$ -VAE and Quantum Kernels
Jun 12, 2026Tia Tiwari, Vamshi Krishna Kancharla, Neelam SinhaVariational Autoencoders Hybrid Quantum-Classical ML
Centre for Brain Research, Indian Institute of Science · Vision and AI Lab (VAL), Indian Institute of Science
ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification
Jun 11, 2026Long Doan, Branden Chen, Ethan Litton +6Efficient Multimodal Inference Evidential Deep Learning
Department of Computer Science, Kennesaw State University · Department of Data Science and Analytics, Kennesaw State University · Department of Information Technology, Kennesaw State University +2
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
Transition-Based Digital Twin Modelling for Alzheimer's Disease under Sparse Longitudinal Data
Jun 8, 2026Yinyu Huang, Yilin Zhang, Sofia Michopoulou +2Irregular Time-Series Modeling Clinical Outcome Prediction
School of Electronics and Computer Science, University of Southampton, UK · University Hospital Southampton NHS Foundation Trust, Southampton, UK · Faculty of Medicine, University of Southampton, UK
Multilingual Detection of Alzheimer's Disease from Speech: A Cross-Linguistic Transfer Learning Approach
Jun 4, 2026Nadine Yasser Abdelhalim, Emmanuel Akinrintoyo, Nicole SalomonsSpeech-Based Dementia Detection Speech Processing
Department of Computing, Imperial College London, United Kingdom
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
Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification
Jun 2, 2026Jaeyoon Sim, Minjae Lee, Guorong Wu +1Graph Neural Networks Alzheimer's Disease Classification
Pohang University of Science and Technology, Pohang, South Korea · University of North Carolina at Chapel Hill, Chapel Hill, USA
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
A Two-Scan Deep Learning Model for Predicting Dementia in Mild Cognitive Impairment
May 27, 2026Sara Fin, Alireza Moayedikia, David J. White +2Hybrid CNN-Transformer Architectures Longitudinal Medical Image Analysis
The Maersk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark
A Multimodal Framework for Dementia Detection via Linguistic and Acoustic Representation Learning
May 25, 2026Loukas Ilias, Dimitris AskounisSpeech-Based Dementia Detection Speech Processing
Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
DeepTokenEEG Enhancing Mild Cognitive Impairment and Alzheimers Classification via Tokenized EEG Features
May 14, 2026Thinh Nguyen-Quang, Minh Long Ngo, Ngoc-Son Nguyen +7Electroencephalography Alzheimer's Disease Classification
Hanoi University of Science and Technology, Hanoi, Vietnam · VNU University of Engineering and Technology, Hanoi, Vietnam · Central Military Hospital 108, Hanoi, Vietnam +1
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
BrainAnytime: Anatomy-Aware Cross-Modal Pretraining for Brain Image Analysis with Arbitrary Modality Availability
May 13, 2026Guangqian Yang, Tong Ding, Wenlong Hou +4Missing-Modality Learning Masked Autoencoders
Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China · Department of Technology Management for Innovation, The University of Tokyo, Japan · Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong SAR, China
PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis
May 9, 2026Lujia Zhong, Yihao Xia, Shuo Huang +2Multimodal ICL Medical Diagnosis
Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California · Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California · Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California
NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research
May 7, 2026Lujia Zhong, Yihao Xia, Jianwei Zhang +4Multi-Agent LLM Systems LLM Agent Orchestration
1Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California · 2Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California · 3Alfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California
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
Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings
Apr 29, 2026Brad Ye, Bulent Soykan, Gulsah Hancerliogullari Koksalmis +2Tabular Foundation Models Alzheimer's Disease
Department of Medicine, University of Central Florida College of Medicine, Orlando, FL, USA · NIMBUS Lab, University of Central Florida · Department of Mechanical, Industrial & Manufacturing Eng., The University of Toledo, Toledo, OH, USA +3
Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
Apr 27, 2026Xiaoyu Zheng, Xu Tian, Bin Jiao +4Alzheimer's Disease Electroencephalography
NeuroAPS-Net: Neuro-Anatomically Aware Point Cloud Representation for Efficient Alzheimer's Disease Classification
Apr 24, 2026Towhidul Islam, Mufti MahmudEfficient Neural Network Inference Point Cloud Classification
ICS Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia · SDAIA-KFUPM JRC for AI, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia · IRC for Bio Systems and Machines, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
REVEAL: Multimodal Vision-Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction
Apr 20, 2026Seowung Leem, Lin Gu, Chenyu You +2Alzheimer's Disease Medical Imaging
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, United2026 States · Research Institute of Electrical Communication, Tohoku University, Japan · Department of Applied Mathematics & Statistics, Stony Brook University, United StatesApr +1
Improved Multiscale Structural Mapping with Supervertex Vision Transformer for the Detection of Alzheimer's Disease Neurodegeneration
Apr 16, 2026Geonwoo Baek, David H. Salat, Ikbeom JangAlzheimer's Disease Vision Transformer
Department of Computer Science & Engineering, Hankuk University of Foreign Studies, Seoul, Republic of Korea · Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA · Department of Radiology, Harvard Medical School, Boston, MA, USA +1
MINT: Multimodal Imaging-to-Speech Knowledge Transfer for Early Alzheimer's Screening
Feb 27, 2026Vrushank Ahire, Yogesh Kumar, Anouck Girard +1Cross-Modal Knowledge Distillation Alzheimer's Disease
Department of Computer Science and Engineering, Indian Institute of Technology Ropar, India · Embry-Riddle Aeronautical University, Florida, USA
Cross-Task Generalization in Handwriting-Based Alzheimer's Screening via Vision Language Adaptation
Nov 8, 2025Changqing Gong, Huafeng Qin, Mounim A. El-YacoubiAlzheimer's Disease VLM Adaptation
Telecom SudParis, Institut Polytechnique de Paris, 91120 Palaiseau, France · School of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing 400067, China
Variational Mixture of Graph Neural Experts for Alzheimer's Disease Recognition across Frequency Bands in EEG Brain Networks
Oct 13, 2025Jun-En Ding, Anna Zilverstand, Shihao Yang +2Alzheimer's Disease Electroencephalography
Department of Industrial and Systems Engineering, Rutgers University, Piscataway, NJ, USA · Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA · Institute of Brain Science, College of Medicine, National Yang-Ming Chiao Tung University, Taipei City, Taiwan

Jun 12, 2026, cs.CVJ/K move · Enter open · S save

Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised $β$ -VAE and Quantum Kernels

Tia Tiwari, Vamshi Krishna Kancharla, Neelam Sinha

Centre for Brain Research, Indian Institute of Science · Vision and AI Lab (VAL), Indian Institute of Science

Variational Autoencoders Hybrid Quantum-Classical ML Medical Image Classification Alzheimer's Disease Classification Neuroimaging

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This paper presents a two-stage Hybrid Classical-Quantum (HCQ) pipeline for binary Alzheimer's disease (AD) classification from 3D T1-weighted structural MRI volumes, where the classical and quantum components are designed to complement each other rather than operate independently. A supervised 3D

β

-variational autoencoder (VAE) is trained end-to-end under voxel-wise reconstruction, KL-divergence, and focal classification losses that compress each 3D MRI volume (resized from 152 x 184 x 152 to 96 x 96 x 96) into a 64-dimensional latent code. Partial Least Squares (PLS) regression selects the six components in the latent code that best separate Alzheimer's Disease (AD) from cognitively normal (CN) subjects and rescales them into rotation angles, which are encoded onto a six-qubit register using the ZZ quantum feature map to give us the respective quantum states. The input to a precomputed-kernel Support Vector Machine (SVM) is an N x N Gram matrix (N = 308), created by calculating the overlap between every pair of quantum states. The novelty of this work lies in the fact that the quantum kernel operates directly on disease-aware features that are learned end-to-end by a supervised autoencoder, rather than on pre-extracted inputs. On 308 ADNI-1 subjects, consisting of 137 AD and 171 CN subjects, the baseline achieved 67.2% accuracy and 0.759 AUC, while the stability-enhanced variant reached 72.1% accuracy and 0.799 AUC with cross-fold variance halved. 3D Grad-CAM further helped validate our model's focus on brain regions linked to Alzheimer's. The HCQ pipeline could serve as a general-purpose framework for diagnostic classification across biomedical imaging domains that present similar challenges for classical approaches.

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