Research graph
References from Alzheimer’s disease detection from structural brain MRI using FFA U-Net segmentation and transfer learning. Local targets link to admitted publications; unresolved targets remain external evidence.
Transfer learning for Alzheimer’s disease through neuroimaging biomarkers: a systematic review
10.3390/s21217259 · 2021 · External reference
MRI-based Alzheimer’s disease classification using vision transformer and time-series transformer: a step-by-step guide
10.1016/j.simpa.2025.100771 · 2025 · External reference
Brain MRI analysis for Alzheimer’s disease diagnosis using CNN-based feature extraction and machine learning
10.3390/s22082911 · 2022 · External reference
Transfer deep learning and explainable AI framework for brain tumor and Alzheimer's detection across multiple datasets
10.3389/fmed.2025.1618550 · 2025 · External reference
Alzheimer’s disease detection using deep learning on neuroimaging: a systematic review
10.3390/make6010024 · 2024 · External reference
Deep learning techniques for Alzheimer's disease detection in 3D imaging: a systematic review
10.1002/hsr2.70025 · 2024 · External reference
Hybridized deep learning approach for detecting Alzheimer’s disease
10.3390/biomedicines11010149 · 2023 · External reference
Multiple inputs and mixed data for Alzheimer’s disease classification based on 3D vision transformer
10.3390/math12172720 · 2024 · External reference
10.1109/isbi.2018.8363833
10.1109/isbi.2018.8363833 · 2018 · External reference
Machine learning approaches in medical image analysis: from detection to diagnosis
10.1016/j.media.2016.06.032 · 2016 · External reference
Alzheimer’s disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images
10.1016/j.eswa.2022.118633 · 2023 · External reference
Deep learning in early Alzheimer's disease's detection: a comprehensive survey of classification, segmentation, and feature extraction methods
10.48550/arxiv.2501.15293 · 2025 · External reference
Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function
10.1186/s40708-023-00184-w · 2023 · External reference
GAME-net: an ensemble deep learning framework integrating generative autoencoders and attention mechanisms for automated brain tumor segmentation in MRI
10.3389/fncom.2025.1702902 · 2025 · External reference
Unresolved reference
2016 · External reference
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
10.1002/jmri.21049 · 2008 · External reference
Deep learning-based diagnosis algorithm for alzheimer’s disease
10.3390/jimaging10120333 · 2024 · External reference
Early-stage Alzheimer's disease prediction using machine learning models
10.3389/fpubh.2022.853294 · 2022 · External reference
A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images
10.3389/fnins.2022.1050777 · 2023 · External reference
Alzheimer's disease detection using depthwise separable convolutional neural networks
10.1016/j.cmpb.2021.106032 · 2021 · External reference
Early detection of Alzheimer’s disease in structural and functional MRI
10.3389/fmed.2024.1520878 · 2024 · External reference
Unresolved reference
2023 · External reference
10.4324/9781003330318-9
10.4324/9781003330318-9 · 2023 · External reference
Unresolved reference
2023 · External reference
Open access series of imaging studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults
10.1162/jocn.2007.19.9.1498 · 2007 · External reference
Transfer learning and neural network-based approach on structural MRI data for prediction and classification of Alzheimer’s disease
10.3390/diagnostics15030360 · 2025 · External reference
Detection of Alzheimer disease in neuroimages using vision transformers: systematic review and meta-analysis
10.2196/62647 · 2025 · External reference
Multi-modal fusion and longitudinal analysis for Alzheimer’s disease classification using deep learning
10.3390/diagnostics15060717 · 2025 · External reference
White matter hyperintensities segmentation using the ensemble U-net with multi-scale highlighting foregrounds
10.1016/j.neuroimage.2021.118140 · 2021 · External reference
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages
10.1016/j.neuroimage.2017.03.057 · 2017 · External reference
Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and progressive Supranuclear palsy
10.1016/j.jneumeth.2013.11.016 · 2014 · External reference
Ensemble of vision transformer architectures for efficient Alzheimer’s disease classification
10.1186/s40708-024-00238-7 · 2024 · External reference
AlzheimerNet: an effective deep learning based proposition for Alzheimer’s disease stages classification from functional brain changes in magnetic resonance images
10.1109/access.2023.3244952 · 2023 · External reference
Multimodal neuroimaging feature learning with multimodal stacked deep polynomial networks for diagnosis of Alzheimer's disease
10.1109/jbhi.2017.2655720 · 2017 · External reference
Very deep convolutional networks for large-scale image recognition
2014 · External reference
Classification of Alzheimer’s disease using MRI data based on deep learning techniques
10.1016/j.jksuci.2024.101940 · 2024 · External reference
Comprehensive evaluation of pre-trained neural networks for Alzheimer’s disease classification using transfer learning
10.57197/jdr-2025-0735 · 2025 · External reference
Unresolved reference
2019 · External reference
Convolutional neural networks for classification of Alzheimer's disease: overview and reproducible evaluation
10.1016/j.media.2020.101694 · 2020 · External reference
Exceptional performance with minimal data using a generative adversarial network for alzheimer's disease classification
10.1038/s41598-024-66874-5 · 2024 · External reference
Detection of Alzheimer's disease and mild cognitive impairment based on structural volumetric MR images using 3D-DWT and WTA-KSVM trained by PSOTVAC
10.1016/j.bspc.2015.05.014 · 2015 · External reference
