ArticleDiagnostics (Basel, Switzerland)2025
Multi-Modal Fusion and Longitudinal Analysis for Alzheimer's Disease Classification Using Deep Learning.
Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer's Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges.Sensors (Basel, Switzerland) · 2026Pooled it
- Comparative Analysis of Deep Learning Techniques in Alzheimer's Disease Diagnosis: Trends, Challenges, and Future Directions.MethodsX · 2026Review
- Dual-stage 3D medical image segmentation integrating learnable prompt generation and memory attention.Scientific reports · 2026Article
- SPECT and PET imaging of Alzheimer's disease revisited: from biomarkers to artificial intelligence-based prediction.Annals of nuclear medicine · 2026Review
- A model-based image fusion framework using discrete band-limited shearlets.Scientific reports · 2026Article
- Entropy-regularized dual-stream attention fusion for multi-disease lung classification.Scientific reports · 2026Article
- NeuroFusion-ViT: A Hybrid CNN-EVA Transformer Model with Cross-Attention Fusion for MRI-Based Alzheimer's Stage Classification.Diagnostics (Basel, Switzerland) · 2026Article
- HyperTransFusion: a hypernetwork transformer with black winged kite optimization for multimodal early Alzheimer's disease diagnosis.Frontiers in digital health · 2026Article
- Alzheimer's disease detection from structural brain MRI using FFA U-Net segmentation and transfer learning.Frontiers in neuroscience · 2026Article
- A DTI-Radiomics and Clinical Integration Model for Predicting MCI-to-AD Progression Using Corpus Callosum Features.Current Alzheimer research · 2026Article
- Deep learning for Alzheimer's disease: advances in classification, segmentation, subtyping, and explainability.Biomedical engineering online · 2025Review
- ViViMZheimer a slice based end to end model for Alzheimer's disease diagnosis from 3D MRI.Scientific reports · 2025Article
- Intra-scale interaction and cross-scale fusion network for detecting the progression of neurodegeneration in Alzheimer's disease.Scientific reports · 2025Article
- V3DQutrit a volumetric medical image segmentation based on 3D qutrit optimized modified tensor ring model.Scientific reports · 2025Article
- An advanced multimodal image fusion model for accurate detection of Alzheimer's disease using MRI and PET.Frontiers in medical technology · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.