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:

3D-CNN based discrimination of schizophrenia using resting-state fMRI
Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Boreom Lee
Artificial Intelligence in Medicine (2019) Vol. 98, pp. 10-17
Closed Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

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: 268
A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis
Li Zhang, Mingliang Wang, Mingxia Liu, et al.
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 168
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 128
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 128
Artificial intelligence in psychiatry research, diagnosis, and therapy
Jie Sun, Qunxi Dong, San-Wang Wang, et al.
Asian Journal of Psychiatry (2023) Vol. 87, pp. 103705-103705
Closed Access | Times Cited: 72
Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals
Ahmad Shalbaf, Sara Bagherzadeh, Arash Maghsoudi
Physical and Engineering Sciences in Medicine (2020) Vol. 43, Iss. 4, pp. 1229-1239
Closed Access | Times Cited: 126
Artificial intelligence for brain diseases: A systematic review
Alice Segato, Aldo Marzullo, Francesco Calimeri, et al.
APL Bioengineering (2020) Vol. 4, Iss. 4
Open Access | Times Cited: 123
Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective
Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser, et al.
Lecture notes in computer science (2019), pp. 115-125
Closed Access | Times Cited: 96
Deep learning for brain disorder diagnosis based on fMRI images
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2020) Vol. 469, pp. 332-345
Closed Access | Times Cited: 86
Using DeepGCN to identify the autism spectrum disorder from multi-site resting-state data
Menglin Cao, Ming–Hsuan Yang, Chi Qin, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103015-103015
Closed Access | Times Cited: 83
Deep learning applications for the classification of psychiatric disorders using neuroimaging data: Systematic review and meta-analysis
Mirjam Quaak, Laurens van de Mortel, Rajat M. Thomas, et al.
NeuroImage Clinical (2021) Vol. 30, pp. 102584-102584
Open Access | Times Cited: 72
Going deep into schizophrenia with artificial intelligence
Jose Cortes-Briones, Nicolas I. Tapia, Deepak Cyril D’Souza, et al.
Schizophrenia Research (2021) Vol. 245, pp. 122-140
Open Access | Times Cited: 70
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 62
SSPNet: An interpretable 3D-CNN for classification of schizophrenia using phase maps of resting-state complex-valued fMRI data
Qiu‐Hua Lin, Yan‐Wei Niu, Jing Sui, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102430-102430
Open Access | Times Cited: 39
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia
Gang Li, Dongwoo Han, Chao Wang, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 183, pp. 105073-105073
Closed Access | Times Cited: 59
Deep learning of brain magnetic resonance images: A brief review
Xingzhong Zhao, Xing‐Ming Zhao
Methods (2020) Vol. 192, pp. 131-140
Closed Access | Times Cited: 58
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc‐Andre Schulz, Moritz Seiler, et al.
Experimental Neurology (2021) Vol. 339, pp. 113608-113608
Open Access | Times Cited: 44
Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Multimedia Tools and Applications (2022) Vol. 82, Iss. 13, pp. 20343-20405
Closed Access | Times Cited: 29
Deep learning in neuroimaging data analysis: Applications, challenges, and solutions
Lev Kiar Avberšek, Grega Repovš
Frontiers in Neuroimaging (2022) Vol. 1
Open Access | Times Cited: 29
Automated detection of schizophrenia using deep learning: a review for the last decade
Manish Sharma, Ruchit Kumar Patel, Akshat Garg, et al.
Physiological Measurement (2023) Vol. 44, Iss. 3, pp. 03TR01-03TR01
Closed Access | Times Cited: 17
Dilated 3D Convolutional Neural Networks for Brain MRI Data Classification
Zijian Wang, Yaoru Sun, Qianzi Shen, et al.
IEEE Access (2019) Vol. 7, pp. 134388-134398
Open Access | Times Cited: 46
Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging
Sofia Zahia, Begonya García-Zapirain, Ibone Saralegui, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105726-105726
Open Access | Times Cited: 44
Application of Artificial Intelligence in the MRI Classification Task of Human Brain Neurological and Psychiatric Diseases: A Scoping Review
Zhao Zhang, Guangfei Li, Yong Xu, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1402-1402
Open Access | Times Cited: 37
Deep multimodal predictome for studying mental disorders
Md Abdur Rahaman, Jiayu Chen, Zening Fu, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 2, pp. 509-522
Open Access | Times Cited: 23
Multi-site diagnostic classification of Autism spectrum disorder using adversarial deep learning on resting-state fMRI
Yan Tang, Gan Tong, Xing Xiong, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104892-104892
Closed Access | Times Cited: 15
Page 1 - Next Page

Scroll to top