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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:

Brain MRI-based 3D Convolutional Neural Networks for Classification of Schizophrenia and Controls
Mengjiao Hu, Kang Sim, Juan Zhou, et al.
(2020), pp. 1742-1745
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

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 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: 60
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: 30
Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions
Shradha Verma, Tripti Goel, M. Tanveer, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 5, pp. 4795-4807
Open Access | Times Cited: 21
Multikernel Capsule Network for Schizophrenia Identification
Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, et al.
IEEE Transactions on Cybernetics (2020) Vol. 52, Iss. 6, pp. 4741-4750
Open Access | Times Cited: 45
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
Diagnosing schizophrenia using deep learning: Novel interpretation approaches and multi-site validation
Tingting Weng, Yuemei Zheng, Yingying Xie, et al.
Brain Research (2024) Vol. 1833, pp. 148876-148876
Closed Access | Times Cited: 4
Tackling the small data problem in medical image classification with artificial intelligence: a systematic review
Stefano Piffer, Leonardo Ubaldi, Sabina Tangaro, et al.
Progress in Biomedical Engineering (2024) Vol. 6, Iss. 3, pp. 032001-032001
Open Access | Times Cited: 4
An ensemble approach using multidimensional convolutional neural networks in wavelet domain for schizophrenia classification from sMRI data
Tamilarasi Sarveswaran, Vijayarajan Rajangam
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Deep Learning Methods to Evaluate Privacy and Quality of Skull-Stripped Brain Images
Li Luo, Rishikesh V. Phatangare, James Z. Wang, et al.
Lecture notes in computer science (2025), pp. 217-227
Closed Access
Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes
Hon Wah Yeung, Aleks Stolicyn, Colin R. Buchanan, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 5, pp. 1913-1933
Open Access | Times Cited: 16
A 3D multiscale view convolutional neural network with attention for mental disease diagnosis on MRI images
Zijian Wang, Yaqin Zhu, Haibo Shi, et al.
Mathematical Biosciences & Engineering (2021) Vol. 18, Iss. 5, pp. 6978-3994
Open Access | Times Cited: 18
Beyond hand-crafted features for pretherapeutic molecular status identification of pediatric low-grade gliomas
Kareem Kudus, Matthias Wagner, Khashayar Namdar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Computer-Aided Diagnosis of Children with Cerebral Palsy under Deep Learning Convolutional Neural Network Image Segmentation Model Combined with Three-Dimensional Cranial Magnetic Resonance Imaging
Rui Yang, Haoran Zuo, Shusheng Han, et al.
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 14
Bridging structural MRI with cognitive function for individual level classification of early psychosis via deep learning
Yang Wen, Chuan Zhou, Leiting Chen, et al.
Frontiers in Psychiatry (2023) Vol. 13
Open Access | Times Cited: 5
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models
Umang Gupta, Tamoghna Chattopadhyay, Nikhil J. Dhinagar, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Open Access | Times Cited: 5
Machine Learning and Deep Learning Methods for the Detection of Schizophrenia Using Magnetic Resonance Images and EEG Signals: An Overview of the Recent Advancements
Noushath Shaffi, Mufti Mahmud, Faizal Hajamohideen, et al.
Lecture notes in networks and systems (2023), pp. 849-866
Closed Access | Times Cited: 4
Predictive modelling of brain disorders with magnetic resonance imaging: A systematic review of modelling practices, transparency, and interpretability in the use of convolutional neural networks
Shane O’Connell, Dara M. Cannon, Pilib Ó Broin
Human Brain Mapping (2023) Vol. 44, Iss. 18, pp. 6561-6574
Open Access | Times Cited: 4
Structural MRI-Based Schizophrenia Classification Using Autoencoders and 3D Convolutional Neural Networks in Combination with Various Pre-Processing Techniques
Roman Vyškovský, Daniel Schwarz, Vendula Churová, et al.
Brain Sciences (2022) Vol. 12, Iss. 5, pp. 615-615
Open Access | Times Cited: 7
Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning
Ning Jiang, Gongshu Wang, Chuyang Ye, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 9, pp. 5528-5539
Closed Access | Times Cited: 1
An Efficient and Robust 3D Medical Image Classification Approach Based on 3D CNN, Time‐Distributed 2D CNN‐BLSTM Models, and mRMR Feature Selection
Enver Akbacak, Nedim Muzoğlu
Computational Intelligence (2024) Vol. 40, Iss. 5
Closed Access | Times Cited: 1
Schizophrenia Detection and Classification: A Systematic Review of the Last Decade
Apurba Saha, Seungmin Park, Zong Woo Geem, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2698-2698
Open Access | Times Cited: 1
Lightweight 3D Convolutional Neural Network for Schizophrenia Diagnosis Using MRI Images and Ensemble Bagging Classifier
P. SupriyaPatro, Tripti Goel, Sirigineedi A. Varaprasad, et al.
Cognitive Computation (2022) Vol. 16, Iss. 4, pp. 2019-2035
Open Access | Times Cited: 4
Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes
Hon Wah Yeung, Aleks Stolicyn, Colin R. Buchanan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Utilizing Deep Learning and SVM Models for Schizophrenia Detection and Symptom Severity Estimation Through Structural MRI
Sheriff Alimi, Afolashade Oluwakemi Kuyoro, Monday Eze, et al.
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 4, pp. 993-1002
Open Access | Times Cited: 1
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