Article

NOVEL CONTRIBUTIONS OF THE MULTI-MODAL DEEP LEARNING FRAMEWORK INTEGRATING MRI AND GENETIC DATA FOR ENHANCED ALZHEIMER 'S DISEASE DIAGNOSIS

2025-10-14

Abstract excerpt

Early detection of Alzheimer’s disease (AD) is crucial for timely interventions and improved patient management. This study evaluated deep learning models utilizing magnetic resonance imaging (MRI) and genetic data for early AD identification. Three convolutional neural networks (CNNs) were developed: an MRI-based CNN, a Genomic CNN, and a Hybrid CNN integrating both modalities. Model performance was assessed usin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: bd40cca0-3a99-5aa1-8414-a35175ee8b00
DOI: 10.22541/au.176043276.62525964/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

NOVEL CONTRIBUTIONS OF THE MULTI-MODAL DEEP LEARNING FRAMEWORK INTEGRATING MRI AND GENETIC DATA FOR ENHANCED ALZHEIMER 'S DISEASE DIAGNOSISDOI 10.22541/au.176043276.62525964/v1Read

Imaging-genetics-based dementia risk prediction using deep survival neural networks in the Rotterdam Study.Semantic proximity Read

Imaging-genetics-based dementia risk prediction using deep survival neural networks in the Rotterdam StudySemantic proximity Read

Multi-Modal Data Analysis for Alzheimer’s Disease Diagnosis: An Ensemble Model Using Imagery and Genetic FeaturesSemantic proximity Read

Predictive classification of Alzheimer's disease using brain imaging and genetic data.Semantic proximity Read

G2DBridge: A Multimodal Framework Linking Genetics to Disease through Imaging IntermediatesSemantic proximity Read

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic DataSemantic proximity Read

Genetic, structural and functional imaging biomarkers for early detection of conversion from MCI to AD.Semantic proximity Read

Development and validation of a deep learning framework for Alzheimer’s disease classificationSemantic proximity Read

Transfer learning‐trained convolutional neural networks identify novel MRI biomarkers of Alzheimer's disease progressionSemantic proximity Read

Interpretable MRI-Based Deep Learning for Alzheimer’s Risk and ProgressionSemantic proximity Read

Deep Learning-based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer’s DiseaseSemantic proximity Read

A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectivesSemantic proximity Read