
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:
Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography
Antonio Giovannetti, Gianluca Susi, Paola Casti, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 21, pp. 14651-14667
Open Access | Times Cited: 24
Antonio Giovannetti, Gianluca Susi, Paola Casti, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 21, pp. 14651-14667
Open Access | Times Cited: 24
Showing 24 citing articles:
Ensemble deep learning for Alzheimer’s disease characterization and estimation
M. Tanveer, Tushar Goel, Rahul Sharma, et al.
Nature Mental Health (2024) Vol. 2, Iss. 6, pp. 655-667
Closed Access | Times Cited: 16
M. Tanveer, Tushar Goel, Rahul Sharma, et al.
Nature Mental Health (2024) Vol. 2, Iss. 6, pp. 655-667
Closed Access | Times Cited: 16
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
Shaker El–Sappagh, Farman Ali, Tamer Abuhmed, et al.
Neurocomputing (2022) Vol. 512, pp. 203-224
Closed Access | Times Cited: 62
Shaker El–Sappagh, Farman Ali, Tamer Abuhmed, et al.
Neurocomputing (2022) Vol. 512, pp. 203-224
Closed Access | Times Cited: 62
A deep ensemble hippocampal CNN model for brain age estimation applied to Alzheimer’s diagnosis
Katia Maria Poloni, Ricardo J. Ferrari
Expert Systems with Applications (2022) Vol. 195, pp. 116622-116622
Open Access | Times Cited: 35
Katia Maria Poloni, Ricardo J. Ferrari
Expert Systems with Applications (2022) Vol. 195, pp. 116622-116622
Open Access | Times Cited: 35
Deep learning based computer aided diagnosis of Alzheimer’s disease: a snapshot of last 5 years, gaps, and future directions
Anish Bhandarkar, Pratham Naik, Kavita Vakkund, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 6
Anish Bhandarkar, Pratham Naik, Kavita Vakkund, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 6
Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data
Nasir Rahim, Shaker El–Sappagh, Haytham Rizk, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111749-111749
Closed Access | Times Cited: 6
Nasir Rahim, Shaker El–Sappagh, Haytham Rizk, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111749-111749
Closed Access | Times Cited: 6
Antenna contactless partial discharges detection in covered conductors using ensemble stacking neural networks
Lukáš Klein, David Seidl, Jan Fulneček, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118910-118910
Open Access | Times Cited: 23
Lukáš Klein, David Seidl, Jan Fulneček, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 118910-118910
Open Access | Times Cited: 23
Late combination shows that MEG adds to MRI in classifying MCI versus controls
Delshad Vaghari, Ehsanollah Kabir, Richard N. Henson
NeuroImage (2022) Vol. 252, pp. 119054-119054
Open Access | Times Cited: 22
Delshad Vaghari, Ehsanollah Kabir, Richard N. Henson
NeuroImage (2022) Vol. 252, pp. 119054-119054
Open Access | Times Cited: 22
A comprehensive survey of past challenges, present approaches, and future research trends and scope: Alzheimer’s disease detection using MRI images
Sunetra Prabhakar Salunkhe, Nilesh Ashok Suryawanshi
Research on Biomedical Engineering (2025) Vol. 41, Iss. 1
Closed Access
Sunetra Prabhakar Salunkhe, Nilesh Ashok Suryawanshi
Research on Biomedical Engineering (2025) Vol. 41, Iss. 1
Closed Access
Application of Transfer Learning for Biomedical Signals: A Comprehensive Review of the Last Decade (2014-2024)
Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, et al.
Information Fusion (2025) Vol. 118, pp. 102982-102982
Open Access
Mahboobeh Jafari, Xiaohui Tao, Prabal Datta Barua, et al.
Information Fusion (2025) Vol. 118, pp. 102982-102982
Open Access
Decoding in the Fourth Dimension: Classification of Temporal Patterns and Their Generalization Across Locations
Alejandro Santos‐Mayo, Faith E. Gilbert, Laura Ahumada, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 2
Open Access
Alejandro Santos‐Mayo, Faith E. Gilbert, Laura Ahumada, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 2
Open Access
Enhancing Spatio-Temporal Analysis with Deep Learning: A Review on Electrophysiological Signal-to-Image Transformation
Miriam Gutiérrez Fernández-Calvillo, Ander Cejudo Taramona, Kristine M. Jensen de López, et al.
Smart innovation, systems and technologies (2025), pp. 77-87
Closed Access
Miriam Gutiérrez Fernández-Calvillo, Ander Cejudo Taramona, Kristine M. Jensen de López, et al.
Smart innovation, systems and technologies (2025), pp. 77-87
Closed Access
Ensemble deep transfer learning model for Arabic (Indian) handwritten digit recognition
Rami S. Alkhawaldeh, Moatsum Alawida, Nawaf Farhan Funkur Alshdaifat, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 705-719
Closed Access | Times Cited: 23
Rami S. Alkhawaldeh, Moatsum Alawida, Nawaf Farhan Funkur Alshdaifat, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 705-719
Closed Access | Times Cited: 23
Magnetoencephalography-based interpretable automated differential diagnosis in neurodegenerative diseases
D Klepachevskyi, Antonella Romano, Bruno Aristimunha, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
D Klepachevskyi, Antonella Romano, Bruno Aristimunha, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Enhancing early Alzheimer's disease classification accuracy through the fusion of sMRI and rsMEG data: a deep learning approach
Yuchen Liu, Ling Wang, Xiaolin Ning, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Yuchen Liu, Ling Wang, Xiaolin Ning, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Deep Multi-Branch CNN Architecture for Early Alzheimer’s Detection from Brain MRIs
Paul K. Mandal, Rakeshkumar Mahto
Sensors (2023) Vol. 23, Iss. 19, pp. 8192-8192
Open Access | Times Cited: 4
Paul K. Mandal, Rakeshkumar Mahto
Sensors (2023) Vol. 23, Iss. 19, pp. 8192-8192
Open Access | Times Cited: 4
Early Diagnosis Model of Alzheimer’s Disease Based on Hybrid Meta-Heuristic with Regression Based Multi Feed Forward Neural Network
B. Rajasekhar
Wireless Personal Communications (2023) Vol. 130, Iss. 3, pp. 1597-1615
Closed Access | Times Cited: 3
B. Rajasekhar
Wireless Personal Communications (2023) Vol. 130, Iss. 3, pp. 1597-1615
Closed Access | Times Cited: 3
MNEflow: Neural networks for EEG/MEG decoding and interpretation
Ivan Zubarev, Gavriela Vranou, Lauri Parkkonen
SoftwareX (2021) Vol. 17, pp. 100951-100951
Open Access | Times Cited: 5
Ivan Zubarev, Gavriela Vranou, Lauri Parkkonen
SoftwareX (2021) Vol. 17, pp. 100951-100951
Open Access | Times Cited: 5
Sensitivity analysis of latent variables in Variational Autoencoders for Dermoscopic Image Analysis
Paola Casti, Arianna Mencattini, Sara Cardarelli, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Closed Access | Times Cited: 3
Paola Casti, Arianna Mencattini, Sara Cardarelli, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2022), pp. 1-6
Closed Access | Times Cited: 3
Artificial neural network for classifying with epilepsy MEG data
Yujin Han, Junsik Kim, Jae-Hee Kim
Korean Journal of Applied Statistics (2024) Vol. 37, Iss. 2, pp. 139-155
Open Access
Yujin Han, Junsik Kim, Jae-Hee Kim
Korean Journal of Applied Statistics (2024) Vol. 37, Iss. 2, pp. 139-155
Open Access
Electrophysiological Insights into Alzheimer's Disease: A Review of Human and Animal Studies
Kirsten N. Calvin-Dunn, Adam M. McNeela, Amanda Leisgang Osse, et al.
Neuroscience & Biobehavioral Reviews (2024), pp. 105987-105987
Closed Access
Kirsten N. Calvin-Dunn, Adam M. McNeela, Amanda Leisgang Osse, et al.
Neuroscience & Biobehavioral Reviews (2024), pp. 105987-105987
Closed Access
Multimodal Alzheimer’s disease classification through ensemble deep random vector functional link neural network
Pablo A. Henríquez, Nicolás Araya
PeerJ Computer Science (2024) Vol. 10, pp. e2590-e2590
Open Access
Pablo A. Henríquez, Nicolás Araya
PeerJ Computer Science (2024) Vol. 10, pp. e2590-e2590
Open Access
An effective feature selection using improved marine predators algorithm for Alzheimer’s disease classification
Preeti Sadanand Topannavar, D. M. Yadav
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 5, pp. 5126-5126
Open Access
Preeti Sadanand Topannavar, D. M. Yadav
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 5, pp. 5126-5126
Open Access
Study of onset in brain dementia using hierarchical wolf colony optimization and dual deep learning technique
Ahana Priyanka Nedunchellian, G. Kavitha
The Imaging Science Journal (2022) Vol. 70, Iss. 3, pp. 155-167
Closed Access
Ahana Priyanka Nedunchellian, G. Kavitha
The Imaging Science Journal (2022) Vol. 70, Iss. 3, pp. 155-167
Closed Access