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:

Automated MRI-Based Deep Learning Model for Detection of Alzheimer’s Disease Process
Wei Feng, Nicholas Van Halm‐Lutterodt, Hao Tang, et al.
International Journal of Neural Systems (2020) Vol. 30, Iss. 06, pp. 2050032-2050032
Closed Access | Times Cited: 146

Showing 1-25 of 146 citing articles:

Self-Supervised Learning for Electroencephalography
Mohammad Hossein Rafiei, Lynne V. Gauthier, Hojjat Adeli, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 2, pp. 1457-1471
Closed Access | Times Cited: 157
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 37622-37655
Open Access | Times Cited: 155
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia
Golrokh Mirzaei, Hojjat Adeli
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103293-103293
Closed Access | Times Cited: 139
Deep Learning-Based Diagnosis of Alzheimer’s Disease
Tausifa Jan Saleem, Syed Rameem Zahra, Fan Wu, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 815-815
Open Access | Times Cited: 78
Diagnostic of autism spectrum disorder based on structural brain MRI images using, grid search optimization, and convolutional neural networks
H. Selçuk Noğay, Hojjat Adeli
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104234-104234
Closed Access | Times Cited: 72
Multi-modal data Alzheimer’s disease detection based on 3D convolution
Zhaokai Kong, Mengyi Zhang, Wenjun Zhu, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103565-103565
Closed Access | Times Cited: 70
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review
Zhen Zhao, Joon Huang Chuah, Khin Wee Lai, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 62
A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Ikram Bazarbekov, Abdul Razaque, Madina Ipalakova, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106023-106023
Closed Access | Times Cited: 17
Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review
Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 05, pp. 2130002-2130002
Closed Access | Times Cited: 66
Diagnosis of Alzheimer’s disease via an attention-based multi-scale convolutional neural network
Zhenbing Liu, Haoxiang Lu, Xipeng Pan, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107942-107942
Closed Access | Times Cited: 65
Systemic Review on Transcranial Electrical Stimulation Parameters and EEG/fNIRS Features for Brain Diseases
Dalin Yang, Yong‐Il Shin, Keum‐Shik Hong
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 63
Early detection of Alzheimer’s disease based on the state-of-the-art deep learning approach: a comprehensive survey
Doaa Ahmed Arafa, Hossam El-Din Moustafa, Hesham Ali, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 17, pp. 23735-23776
Open Access | Times Cited: 47
Deep learning-based classification of healthy aging controls, mild cognitive impairment and Alzheimer’s disease using fusion of MRI-PET imaging
V.P. Subramanyam Rallabandi, Krishnamoorthy Seetharaman
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104312-104312
Closed Access | Times Cited: 39
Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives
T. Illakiya, R. Karthik
Neuroinformatics (2023) Vol. 21, Iss. 2, pp. 339-364
Closed Access | Times Cited: 37
AHANet: Adaptive Hybrid Attention Network for Alzheimer’s Disease Classification Using Brain Magnetic Resonance Imaging
T. Illakiya, R. Karthik, M. V. Siddharth, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 714-714
Open Access | Times Cited: 36
Visual deep learning of unprocessed neuroimaging characterises dementia subtypes and generalises across non-stereotypic samples
Sebastián Moguilner, Robert Whelan, Hieab H.H. Adams, et al.
EBioMedicine (2023) Vol. 90, pp. 104540-104540
Open Access | Times Cited: 25
Detection of Alzheimer’s disease onset using MRI and PET neuroimaging: longitudinal data analysis and machine learning
Don Kulasiri, Iroshan Aberathne, Sandhya Samarasinghe
Neural Regeneration Research (2023) Vol. 18, Iss. 10, pp. 2134-2134
Open Access | Times Cited: 22
Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review
S. Suganyadevi, A. Shiny Pershiya, K. Balasamy, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 8
Impact of EEG Parameters Detecting Dementia Diseases: A Systematic Review
Luz-María Sánchez, Juvenal Rodríguez‐Reséndiz, Gloria Nélida Avecilla Ramírez, et al.
IEEE Access (2021) Vol. 9, pp. 78060-78074
Open Access | Times Cited: 54
mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images
Yeşim Eroğlu, Muhammed Yıldırım, Ahmet Çınar
International Journal of Imaging Systems and Technology (2021) Vol. 32, Iss. 2, pp. 517-527
Closed Access | Times Cited: 46
Deep Convolutional Neural Networks With Ensemble Learning and Generative Adversarial Networks for Alzheimer’s Disease Image Data Classification
Robert Logan, Brian Williams, Maria Ferreira da Silva, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 41
Quantitative Assessment of Resting-State for Mild Cognitive Impairment Detection: A Functional Near-Infrared Spectroscopy and Deep Learning Approach
Dalin Yang, Keum‐Shik Hong
Journal of Alzheimer s Disease (2021) Vol. 80, Iss. 2, pp. 647-663
Open Access | Times Cited: 40
HTLML: Hybrid AI Based Model for Detection of Alzheimer’s Disease
Sarang Sharma, Sheifali Gupta, Deepali Gupta, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1833-1833
Open Access | Times Cited: 34
Multi-modality MRI for Alzheimer’s disease detection using deep learning
Latifa Houria, Noureddine Belkhamsa, Assia Cherfa, et al.
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 4, pp. 1043-1053
Closed Access | Times Cited: 34
Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation
Yu Hua, Xin Shu, Zizhou Wang, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 04
Closed Access | Times Cited: 31
Page 1 - Next Page

Scroll to top