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OpenAlex Citation Counts

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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 Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis
Takashi Matsubara, T. Tashiro, Kuniaki Uehara
IEEE Transactions on Biomedical Engineering (2019) Vol. 66, Iss. 10, pp. 2768-2779
Open Access | Times Cited: 50

Showing 1-25 of 50 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: 266
Deep learning in mental health outcome research: a scoping review
Chang Su, Zhenxing Xu, Jyotishman Pathak, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 258
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: 127
<p>Machine learning techniques in a structural and functional MRI diagnostic approach in schizophrenia: a systematic review</p>
Renato de Filippis, Elvira Anna Carbone, Raffaele Gaetano, et al.
Neuropsychiatric Disease and Treatment (2019) Vol. Volume 15, pp. 1605-1627
Open Access | Times Cited: 107
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
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: 70
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: 69
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, et al.
Cognitive Neurodynamics (2022) Vol. 17, Iss. 6, pp. 1501-1523
Open Access | Times Cited: 58
Recent advances in psychoradiology
Lekai Luo, Wanfang You, Melissa P. DelBello, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 23, pp. 23TR01-23TR01
Open Access | Times Cited: 46
Using deep Siamese neural networks for detection of brain asymmetries associated with Alzheimer's Disease and Mild Cognitive Impairment
Chin-Fu Liu, Shreyas Padhy, Sandhya Ramachandran, et al.
Magnetic Resonance Imaging (2019) Vol. 64, pp. 190-199
Open Access | Times Cited: 73
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
The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review
Mamoon Rashid, Harjeet Singh, Vishal Goyal
Expert Systems (2020) Vol. 37, Iss. 6
Closed Access | Times Cited: 50
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: 43
Representation learning of resting state fMRI with variational autoencoder
Jung‐Hoon Kim, Yizhen Zhang, Kuan Han, et al.
NeuroImage (2021) Vol. 241, pp. 118423-118423
Open Access | Times Cited: 41
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: 28
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
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
F. Colombo, F. Calesella, Mario Gennaro Mazza, et al.
Neuroscience & Biobehavioral Reviews (2022) Vol. 135, pp. 104552-104552
Closed Access | Times Cited: 25
A review of detection techniques for depression and bipolar disorder
Daniel Highland, Gang Zhou
Smart Health (2022) Vol. 24, pp. 100282-100282
Closed Access | Times Cited: 22
Vocal cord lesions classification based on deep convolutional neural network and transfer learning
Qian Zhao, Yuqing He, Yanda Wu, et al.
Medical Physics (2021) Vol. 49, Iss. 1, pp. 432-442
Closed Access | Times Cited: 30
A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis
Alexis Porter, Sihan Fei, Katherine S. F. Damme, et al.
Molecular Psychiatry (2023) Vol. 28, Iss. 8, pp. 3278-3292
Open Access | Times Cited: 11
ISOMAP and machine learning algorithms for the construction of embedded functional connectivity networks of anatomically separated brain regions from resting state fMRI data of patients with Schizophrenia
Ioannis Gallos, Kostakis Gkiatis, George K. Matsopoulos, et al.
AIMS neuroscience (2021) Vol. 8, Iss. 2, pp. 295-321
Open Access | Times Cited: 20
RobIn: A robust interpretable deep network for schizophrenia diagnosis
Daniel Organisciak, Hubert P. H. Shum, E. O. Nwoye, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117158-117158
Open Access | Times Cited: 15
Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study
Jinyu Zang, Yuanyuan Huang, Lingyin Kong, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 18
Automatic Diagnosis of Bipolar Disorder Using Optical Coherence Tomography Data and Artificial Intelligence
Eva María Sánchez‐Morla, Juan Luis Fuentes, Juan Manuel Miguel, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 8, pp. 803-803
Open Access | Times Cited: 15
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