
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:
Baseline structural and functional magnetic resonance imaging predicts early treatment response in schizophrenia with radiomics strategy
Long‐Biao Cui, Yu‐Fei Fu, Lin Liu, et al.
European Journal of Neuroscience (2020) Vol. 53, Iss. 6, pp. 1961-1975
Open Access | Times Cited: 25
Long‐Biao Cui, Yu‐Fei Fu, Lin Liu, et al.
European Journal of Neuroscience (2020) Vol. 53, Iss. 6, pp. 1961-1975
Open Access | Times Cited: 25
Showing 25 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: 127
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 127
Introduction to radiomics for a clinical audience
Cathal McCague, Syafiq Ramlee, Marika Reinius, et al.
Clinical Radiology (2023) Vol. 78, Iss. 2, pp. 83-98
Open Access | Times Cited: 63
Cathal McCague, Syafiq Ramlee, Marika Reinius, et al.
Clinical Radiology (2023) Vol. 78, Iss. 2, pp. 83-98
Open Access | Times Cited: 63
Machine learning methods to predict outcomes of pharmacological treatment in psychosis
Lorenzo Del Fabro, Elena Bondi, Francesca Serio, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 25
Lorenzo Del Fabro, Elena Bondi, Francesca Serio, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 25
Resting-state functional connectivity predictors of treatment response in schizophrenia – A systematic review and meta-analysis
Urvakhsh Meherwan Mehta, Ferose Azeez Ibrahim, Manu Sharma, et al.
Schizophrenia Research (2021) Vol. 237, pp. 153-165
Closed Access | Times Cited: 49
Urvakhsh Meherwan Mehta, Ferose Azeez Ibrahim, Manu Sharma, et al.
Schizophrenia Research (2021) Vol. 237, pp. 153-165
Closed Access | Times Cited: 49
Psychiatry in the Digital Age: A Blessing or a Curse?
Carl B. Roth, Andreas Papassotiropoulos, Annette Beatrix Brühl, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 16, pp. 8302-8302
Open Access | Times Cited: 46
Carl B. Roth, Andreas Papassotiropoulos, Annette Beatrix Brühl, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 16, pp. 8302-8302
Open Access | Times Cited: 46
Abnormalities of Regional Brain Activity in Patients With Schizophrenia: A Longitudinal Resting-State fMRI Study
Xue Li, Qing Liu, Zhaonian Chen, et al.
Schizophrenia Bulletin (2023) Vol. 49, Iss. 5, pp. 1336-1344
Closed Access | Times Cited: 22
Xue Li, Qing Liu, Zhaonian Chen, et al.
Schizophrenia Bulletin (2023) Vol. 49, Iss. 5, pp. 1336-1344
Closed Access | Times Cited: 22
Multimodal workflows optimally predict response to repetitive transcranial magnetic stimulation in patients with schizophrenia: a multisite machine learning analysis
Mark Sen Dong, Jaroslav Rokicki, Dominic Dwyer, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Mark Sen Dong, Jaroslav Rokicki, Dominic Dwyer, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Increased cortical structural covariance correlates with anhedonia in schizophrenia
Lingfang Yu, Zenan Wu, Dandan Wang, et al.
Schizophrenia (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 7
Lingfang Yu, Zenan Wu, Dandan Wang, et al.
Schizophrenia (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 7
Association between degree centrality and neurocognitive impairments in patients with Schizophrenia: A Longitudinal rs-fMRI Study
Shixuan Feng, Yuanyuan Huang, Hongxin Lu, et al.
Journal of Psychiatric Research (2024) Vol. 173, pp. 115-123
Closed Access | Times Cited: 2
Shixuan Feng, Yuanyuan Huang, Hongxin Lu, et al.
Journal of Psychiatric Research (2024) Vol. 173, pp. 115-123
Closed Access | Times Cited: 2
Predictive utility of artificial intelligence on schizophrenia treatment outcomes: A systematic review and meta-analysis
Reza Saboori Amleshi, Mehran Ilaghi, Masoud Rezaei, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 169, pp. 105968-105968
Open Access | Times Cited: 2
Reza Saboori Amleshi, Mehran Ilaghi, Masoud Rezaei, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 169, pp. 105968-105968
Open Access | Times Cited: 2
Graph-Theory-Based Degree Centrality Combined with Machine Learning Algorithms Can Predict Response to Treatment with Antipsychotic Medications in Patients with First-Episode Schizophrenia
Wenming Liu, Peng Fang, Fan Guo, et al.
Disease Markers (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 10
Wenming Liu, Peng Fang, Fan Guo, et al.
Disease Markers (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 10
Radiomics; A Potential Next “Omics” in Psychiatric Disorders; An Introduction
Mohammadreza Alizadeh, Manoj Tanwar, Amir Hossein Sarrami, et al.
Psychiatry Investigation (2023) Vol. 20, Iss. 7, pp. 583-592
Open Access | Times Cited: 6
Mohammadreza Alizadeh, Manoj Tanwar, Amir Hossein Sarrami, et al.
Psychiatry Investigation (2023) Vol. 20, Iss. 7, pp. 583-592
Open Access | Times Cited: 6
Thalamus Radiomics-Based Disease Identification and Prediction of Early Treatment Response for Schizophrenia
Long‐Biao Cui, Yajuan Zhang, Hongliang Lü, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 14
Long‐Biao Cui, Yajuan Zhang, Hongliang Lü, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 14
The Association Between Lentiform Nucleus Function and Cognitive Impairments in Schizophrenia
Ping Li, Shu‐Wan Zhao, Xu‐Sha Wu, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 13
Ping Li, Shu‐Wan Zhao, Xu‐Sha Wu, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 13
Prediction of Clinical Outcomes in Psychotic Disorders Using Artificial Intelligence Methods: A Scoping Review
Jing Ling Tay, Kyawt Kyawt Htun, Kang Sim
Brain Sciences (2024) Vol. 14, Iss. 9, pp. 878-878
Open Access | Times Cited: 1
Jing Ling Tay, Kyawt Kyawt Htun, Kang Sim
Brain Sciences (2024) Vol. 14, Iss. 9, pp. 878-878
Open Access | Times Cited: 1
Mathematical Abilities in School-Aged Children: A Structural Magnetic Resonance Imaging Analysis With Radiomics
Violeta Pina, Víctor M. Campello, Karim Lekadir, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5
Violeta Pina, Víctor M. Campello, Karim Lekadir, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5
Building the Precision Medicine for Mental Disorders via Radiomics/Machine Learning and Neuroimaging
Long‐Biao Cui, Xian Xu, Feng Cao
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 7
Long‐Biao Cui, Xian Xu, Feng Cao
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 7
Incidence and factors associated of early non-response in first-treatment and drug-naïve patients with schizophrenia: a real-world study
Lin Zhang, Aohan Bai, Zhongyu Tang, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 2
Lin Zhang, Aohan Bai, Zhongyu Tang, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 2
Large-scale mechanism hypothesis and research prospects of cognitive impairment in schizophrenia based on magnetic resonance imaging
Yue-Wen Gu, Jing-Wen Fan, Shu‐Wan Zhao, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25915-e25915
Open Access
Yue-Wen Gu, Jing-Wen Fan, Shu‐Wan Zhao, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25915-e25915
Open Access
Radiomic detection of abnormal brain regions in tuberous sclerosis complex
Florent Tixier, Diana Rodriguez, Jeremy Jones, et al.
Medical Physics (2024)
Closed Access
Florent Tixier, Diana Rodriguez, Jeremy Jones, et al.
Medical Physics (2024)
Closed Access
Effects on Multimodal Connectivity Patterns in Female Schizophrenia During 8 Weeks of Antipsychotic Treatment
Shuzhan Gao, Yunkai Sun, Fan Wu, et al.
Schizophrenia Bulletin (2024)
Open Access
Shuzhan Gao, Yunkai Sun, Fan Wu, et al.
Schizophrenia Bulletin (2024)
Open Access
Baseline white matter function predicts short‐term treatment response in first‐episode schizophrenia
Xu‐Sha Wu, Xiaowei Kang, Xuan Li, et al.
Journal of Neuroimaging (2023) Vol. 33, Iss. 4, pp. 632-643
Closed Access | Times Cited: 1
Xu‐Sha Wu, Xiaowei Kang, Xuan Li, et al.
Journal of Neuroimaging (2023) Vol. 33, Iss. 4, pp. 632-643
Closed Access | Times Cited: 1
Diagnosis of Neural Activity among Abnormal Brain Regions in Patients with Major Depressive Disorder by Magnetic Resonance Imaging Features
Weicheng Wang, Shuang Jia, Qionghui Zhao, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 2
Weicheng Wang, Shuang Jia, Qionghui Zhao, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 2
Radiomic features of gray matter in never-treated first-episode schizophrenia
Fei Zhu, Yuan Xiao, Tao Bo, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 10, pp. 5957-5967
Closed Access | Times Cited: 2
Fei Zhu, Yuan Xiao, Tao Bo, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 10, pp. 5957-5967
Closed Access | Times Cited: 2
Magnetic Resonance Imaging throughout the Clinical Course of Schizophrenia: Neurobiological Underpinnings and Clinical Implications
Shu‐Wan Zhao, Yang Cao, Zachary Kratochvil, et al.
Journal of Integrative Neuroscience (2022) Vol. 21, Iss. 5, pp. 139-139
Open Access
Shu‐Wan Zhao, Yang Cao, Zachary Kratochvil, et al.
Journal of Integrative Neuroscience (2022) Vol. 21, Iss. 5, pp. 139-139
Open Access