[HTML][HTML] Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer's Disease with 3D Amyloid-PET

MG Kwak, Y Su, K Chen, D Weidman, T Wu, F Lure… - Bioengineering, 2023 - mdpi.com
Early diagnosis of Alzheimer's disease (AD) is an important task that facilitates the
development of treatment and prevention strategies, and may potentially improve patient …

A simple self-supervised learning framework with patch-based data augmentation in diagnosis of Alzheimer's disease

H Gong, Z Wang, S Huang, J Wang - Biomedical Signal Processing and …, 2024 - Elsevier
Alzheimer's disease (AD) stands as a prominent age-related disorder with significant global
impact. Utilizing computer-aided diagnosis aids in the timely identification of mild cognitive …

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data

Y Li, TN Wolf, S Pölsterl, I Yakushev… - arXiv preprint arXiv …, 2024 - arxiv.org
Differential diagnosis of dementia is challenging due to overlapping symptoms, with
structural magnetic resonance imaging (MRI) being the primary method for diagnosis …

Deep interpretability methods for neuroimaging

MM Rahman - 2022 - scholarworks.gsu.edu
Brain dynamics are highly complex and yet hold the key to understanding brain function and
dysfunction. The dynamics captured by resting-state functional magnetic resonance imaging …

Using Unsupervised Learning Methods to Analyse Magnetic Resonance Imaging (MRI) Scans for the Detection of Alzheimer's Disease

Y Liu - 2023 - etheses.whiterose.ac.uk
Background: Alzheimer's disease (AD) is the most common cause of dementia,
characterised by behavioural and cognitive impairment. The manual diagnosis of AD by …

Self-Supervised Visual Representation Learning for Medical Image Analysis: A Comprehensive Survey

S Manna, S Bhattacharya, U Pal - Transactions on Machine Learning … - openreview.net
Deep learning has developed as a great tool for many computer vision or natural language
processing tasks. However, supervised deep learning algorithms require a large amount of …