Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Diagnostic accuracy study of automated stratification of Alzheimer’s disease and mild cognitive impairment via deep learning based on MRI
Xiaowen Chen, Mingyue Tang, Aimin Liu, et al.
Annals of Translational Medicine (2022) Vol. 10, Iss. 14, pp. 765-765
Open Access | Times Cited: 12

Showing 12 citing articles:

DMA-HPCNet: Dual Multi-Level Attention Hybrid Pyramid Convolution Neural Network for Alzheimer’s Disease Classification
Shiguan Mu, S. Shan, Lanlan Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1955-1964
Open Access | Times Cited: 3
Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms
Ida Arvidsson, Olof Strandberg, Sebastian Palmqvist, et al.
Alzheimer s Research & Therapy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
A Comparative Study Using Deep Learning Models And Transfer Learning for Detection And Classification of Alzheimer’s Disease

Iraqi Journal of Computer Communication Control and System Engineering (2024), pp. 57-70
Open Access | Times Cited: 1
Revolutionizing early Alzheimer's disease and mild cognitive impairment diagnosis: a deep learning MRI meta-analysis
Li-xue Wang, Y. Wang, C.H. Han, et al.
Arquivos de Neuro-Psiquiatria (2024) Vol. 82, Iss. 08, pp. 001-010
Open Access | Times Cited: 1
Automated classification of Alzheimer's disease, mild cognitive impairment, and cognitively normal patients using 3D convolutional neural network and radiomic features from T1-weighted brain MRI: A comparative study on detection accuracy
Amin Zarei, Ahmad Keshavarz, Esmail Jafari, et al.
Clinical Imaging (2024) Vol. 115, pp. 110301-110301
Closed Access | Times Cited: 1
Alzheimer’s disease detection from magnetic resonance imaging: a deep learning perspective
Karolina Armonaité, Marco La Ventura, Luigi Laura
Exploration of Neuroprotective Therapy (2023) Vol. 3, Iss. 3, pp. 139-150
Open Access | Times Cited: 4
Alzheimer’ disease prediction and classification using CT images through machine learning
R. Akhilesh Reddy, Rama KRISHNA
Bratislavské lekárske listy/Bratislava medical journal (2023) Vol. 124, Iss. 05, pp. 337-344
Open Access | Times Cited: 2
Advancements in deep learning for Alzheimer's disease diagnosis: A comprehensive exploration and critical analysis of neuroimaging approaches
Fakhri Alam Khan, Abdullah Khan, Muhammad Imran, et al.
Expert Systems (2024)
Closed Access
Toward an intelligent computing system for the early diagnosis of Alzheimer’s disease based on the modular hybrid growing neural gas
Ylermi Cabrera-León, Pablo Fernández-López, Patricio García Báez, et al.
Digital Health (2024) Vol. 10
Open Access
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI
Lintao Zhang, Jinjian Wu, Lihong Wang, et al.
Lecture notes in computer science (2023), pp. 109-119
Open Access | Times Cited: 1
Constructing a prognostic risk model for Alzheimer’s disease based on ferroptosis
Xiaoli Wang, Rui-Qing Zhai, Zhiming Li, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access
Page 1

Scroll to top