Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

MA Ebrahimighahnavieh, S Luo, R Chiong - Computer methods and …, 2020 - Elsevier
Alzheimer's Disease (AD) is one of the leading causes of … to gain considerable attention in
AD detection research, with the … to be more accurate for AD detection compared to general …

Innovative diagnostic tools for early detection of Alzheimer's disease

C Laske, HR Sohrabi, SM Frost, K López-de-Ipiña… - Alzheimer's & …, 2015 - Elsevier
Alzheimer's disease (AD) is the leading cause of dementia in the elderly, affecting more
than 35 million people worldwide [1]. Aging populations in developed countries ensure that AD …

Hybridized deep learning approach for detecting Alzheimer's disease

P Balaji, MA Chaurasia, SM Bilfaqih, A Muniasamy… - Biomedicines, 2023 - mdpi.com
… ’s early manifestation and instruction for early detection and treatment. Identifying early
MCI (… for the early detection of Alzheimer’s disease. A method for early AD detection using …

Detecting Alzheimer's disease

N Pomara, N Sitaram - Science, 1995 - science.org
In a 1981 pupillometric study, we found a supersensitive miotic response to ocular administration
of the muscarinic agonist pilo-carpine (0.125%) in patients with Alzhei-mer's dementia …

Early detection of Alzheimer's disease using neuroimaging

L Mosconi, M Brys, L Glodzik-Sobanska… - Experimental …, 2007 - Elsevier
… As our ability to detect brain changes related to AD improves, so does our ability to detect
patients at increased risk for AD by using neuroimaging. Neuroimaging techniques offer the …

Advances in the early detection of Alzheimer's disease

PJ Nestor, P Scheltens, JR Hodges - Nature medicine, 2004 - nature.com
… the promise, possibly in the near future, of disease-modifying therapies have made the
characterization of the early stages of Alzheimer's disease (AD) a topic of major research interest. …

Detecting at-risk Alzheimer's disease cases

T Fladby, L Pålhaugen, P Selnes… - … Alzheimer's disease, 2017 - journals.sagepub.com
While APOE ɛ4 is the major genetic risk factor for Alzheimer’s disease (AD), amyloid
dysmetabolism is an initial or early event predicting clinical disease and is an important focus for …

[HTML][HTML] Biomarkers for the early detection and progression of Alzheimer's disease

SE Counts, MD Ikonomovic, N Mercado, IE Vega… - …, 2017 - Elsevier
The recent failures of potential disease-modifying drugs for Alzheimer's disease (AD) may
reflect the fact that the enrolled participants in clinical trials are already too advanced to derive …

Multimodal imaging in Alzheimer's disease: validity and usefulness for early detection

S Teipel, A Drzezga, MJ Grothe, H Barthel… - The Lancet …, 2015 - thelancet.com
… brain changes related to Alzheimer's disease in the research setting are PET-based amyloid
markers, which detect molecular pathology specific to Alzheimer's disease, and markers of …

Detecting Alzheimer's disease Based on 4D fMRI: An exploration under deep learning framework

W Li, X Lin, X Chen - Neurocomputing, 2020 - Elsevier
… data for early diagnosis of Alzheimer's disease (AD) and its … a far better result for AD detection
than the methods using … 4D fMRI data is significant for AD detection and can increase the …