
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 classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks
Silvia Basaia, Federica Agosta, Luca Wagner, et al.
NeuroImage Clinical (2018) Vol. 21, pp. 101645-101645
Open Access | Times Cited: 571
Silvia Basaia, Federica Agosta, Luca Wagner, et al.
NeuroImage Clinical (2018) Vol. 21, pp. 101645-101645
Open Access | Times Cited: 571
Showing 1-25 of 571 citing articles:
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
Junhao Wen, Elina Thibeau‐Sutre, Mauricio Diaz-Melo, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101694-101694
Open Access | Times Cited: 552
Junhao Wen, Elina Thibeau‐Sutre, Mauricio Diaz-Melo, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101694-101694
Open Access | Times Cited: 552
Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review
Amir Ebrahimi Ghahnavieh, Suhuai Luo, Raymond Chiong
Computer Methods and Programs in Biomedicine (2019) Vol. 187, pp. 105242-105242
Closed Access | Times Cited: 319
Amir Ebrahimi Ghahnavieh, Suhuai Luo, Raymond Chiong
Computer Methods and Programs in Biomedicine (2019) Vol. 187, pp. 105242-105242
Closed Access | Times Cited: 319
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Suat Toraman, Talha Burak Alakuş, İbrahim Türkoğlu
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110122-110122
Open Access | Times Cited: 309
Suat Toraman, Talha Burak Alakuş, İbrahim Türkoğlu
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110122-110122
Open Access | Times Cited: 309
Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia
Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser, et al.
Brain Informatics (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 267
Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser, et al.
Brain Informatics (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 267
Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease
M. Tanveer, Bharat Richhariya, Riyaj Uddin Khan, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2020) Vol. 16, Iss. 1s, pp. 1-35
Closed Access | Times Cited: 255
M. Tanveer, Bharat Richhariya, Riyaj Uddin Khan, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2020) Vol. 16, Iss. 1s, pp. 1-35
Closed Access | Times Cited: 255
A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Images
Atif Mehmood, Shuyuan Yang, Zhixi Feng, et al.
Neuroscience (2021) Vol. 460, pp. 43-52
Open Access | Times Cited: 215
Atif Mehmood, Shuyuan Yang, Zhixi Feng, et al.
Neuroscience (2021) Vol. 460, pp. 43-52
Open Access | Times Cited: 215
Deep Learning Approach for Early Detection of Alzheimer’s Disease
Hadeer A. Helaly, Mahmoud Badawy, Amira Y. Haikal
Cognitive Computation (2021) Vol. 14, Iss. 5, pp. 1711-1727
Open Access | Times Cited: 199
Hadeer A. Helaly, Mahmoud Badawy, Amira Y. Haikal
Cognitive Computation (2021) Vol. 14, Iss. 5, pp. 1711-1727
Open Access | Times Cited: 199
Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Diagnostics (2021) Vol. 11, Iss. 6, pp. 1071-1071
Open Access | Times Cited: 178
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Diagnostics (2021) Vol. 11, Iss. 6, pp. 1071-1071
Open Access | Times Cited: 178
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 178
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 178
Imaging biomarkers in neurodegeneration: current and future practices
Peter Young, Mar Estarellas, Emma M. Coomans, et al.
Alzheimer s Research & Therapy (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 161
Peter Young, Mar Estarellas, Emma M. Coomans, et al.
Alzheimer s Research & Therapy (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 161
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: 158
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 37622-37655
Open Access | Times Cited: 158
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: 147
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: 147
A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification
Jie Zhang, Bowen Zheng, Ang Gao, et al.
Magnetic Resonance Imaging (2021) Vol. 78, pp. 119-126
Open Access | Times Cited: 147
Jie Zhang, Bowen Zheng, Ang Gao, et al.
Magnetic Resonance Imaging (2021) Vol. 78, pp. 119-126
Open Access | Times Cited: 147
Alzheimer’s Diseases Detection by Using Deep Learning Algorithms: A Mini-Review
Suhad Al-Shoukry, Taha H. Rassem, Nasrin M. Makbol
IEEE Access (2020) Vol. 8, pp. 77131-77141
Open Access | Times Cited: 146
Suhad Al-Shoukry, Taha H. Rassem, Nasrin M. Makbol
IEEE Access (2020) Vol. 8, pp. 77131-77141
Open Access | Times Cited: 146
A framework for breast cancer classification using Multi-DCNNs
Dina A. Ragab, Omneya Attallah, Maha Sharkas, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104245-104245
Open Access | Times Cited: 145
Dina A. Ragab, Omneya Attallah, Maha Sharkas, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104245-104245
Open Access | Times Cited: 145
Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease
Anees Abrol, Manish Bhattarai, Alex Fedorov, et al.
Journal of Neuroscience Methods (2020) Vol. 339, pp. 108701-108701
Open Access | Times Cited: 138
Anees Abrol, Manish Bhattarai, Alex Fedorov, et al.
Journal of Neuroscience Methods (2020) Vol. 339, pp. 108701-108701
Open Access | Times Cited: 138
Deep learning for Alzheimer's disease diagnosis: A survey
M. Khojaste-Sarakhsi, Seyedhamidreza Shahabi Haghighi, S.M.T. Fatemi Ghomi, et al.
Artificial Intelligence in Medicine (2022) Vol. 130, pp. 102332-102332
Closed Access | Times Cited: 101
M. Khojaste-Sarakhsi, Seyedhamidreza Shahabi Haghighi, S.M.T. Fatemi Ghomi, et al.
Artificial Intelligence in Medicine (2022) Vol. 130, pp. 102332-102332
Closed Access | Times Cited: 101
Artificial intelligence in brain MRI analysis of Alzheimer’s disease over the past 12 years: A systematic review
Tory O. Frizzell, Margit Glashutter, Careesa C. Liu, et al.
Ageing Research Reviews (2022) Vol. 77, pp. 101614-101614
Closed Access | Times Cited: 84
Tory O. Frizzell, Margit Glashutter, Careesa C. Liu, et al.
Ageing Research Reviews (2022) Vol. 77, pp. 101614-101614
Closed Access | Times Cited: 84
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions
Renjie Li, Xinyi Wang, Katherine Lawler, et al.
Journal of Biomedical Informatics (2022) Vol. 127, pp. 104030-104030
Open Access | Times Cited: 80
Renjie Li, Xinyi Wang, Katherine Lawler, et al.
Journal of Biomedical Informatics (2022) Vol. 127, pp. 104030-104030
Open Access | Times Cited: 80
VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer’s disease prediction
Zhentao Hu, Zheng Wang, Yong Jin, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107291-107291
Closed Access | Times Cited: 80
Zhentao Hu, Zheng Wang, Yong Jin, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107291-107291
Closed Access | Times Cited: 80
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
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
Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Sina Fathi, Maryam Ahmadi, Afsaneh Dehnad
Computers in Biology and Medicine (2022) Vol. 146, pp. 105634-105634
Closed Access | Times Cited: 71
Sina Fathi, Maryam Ahmadi, Afsaneh Dehnad
Computers in Biology and Medicine (2022) Vol. 146, pp. 105634-105634
Closed Access | Times Cited: 71
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: 65
Zhen Zhao, Joon Huang Chuah, Khin Wee Lai, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 65
A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images
Pushpendra Singh Sisodia, Gaurav Ameta, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2409-2429
Closed Access | Times Cited: 43
Pushpendra Singh Sisodia, Gaurav Ameta, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2409-2429
Closed Access | Times Cited: 43
Review on Alzheimer Disease Detection Methods: Automatic Pipelines and Machine Learning Techniques
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Sci (2023) Vol. 5, Iss. 1, pp. 13-13
Open Access | Times Cited: 42
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Sci (2023) Vol. 5, Iss. 1, pp. 13-13
Open Access | Times Cited: 42