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:
Radiomics Analysis of Postoperative Epilepsy Seizures in Low-Grade Gliomas Using Preoperative MR Images
Kai Sun, Zhenyu Liu, Yiming Li, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 13
Kai Sun, Zhenyu Liu, Yiming Li, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 13
Showing 13 citing articles:
Development and validation of a novel radiomics-clinical model for predicting post-stroke epilepsy after first-ever intracerebral haemorrhage
Ru Lin, Jiahe Lin, Yuchen Xu, et al.
European Radiology (2023) Vol. 33, Iss. 7, pp. 4526-4536
Closed Access | Times Cited: 13
Ru Lin, Jiahe Lin, Yuchen Xu, et al.
European Radiology (2023) Vol. 33, Iss. 7, pp. 4526-4536
Closed Access | Times Cited: 13
Predicting Drug Treatment Outcomes in Children with Tuberous Sclerosis Complex–Related Epilepsy: A Clinical Radiomics Study
Zhanqi Hu, Dian Jiang, Xia Zhao, et al.
American Journal of Neuroradiology (2023) Vol. 44, Iss. 7, pp. 853-860
Open Access | Times Cited: 10
Zhanqi Hu, Dian Jiang, Xia Zhao, et al.
American Journal of Neuroradiology (2023) Vol. 44, Iss. 7, pp. 853-860
Open Access | Times Cited: 10
Radiomics Nomogram Improves the Prediction of Epilepsy in Patients With Gliomas
Jie Bai, Hongxi Yang, Ankang Gao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Jie Bai, Hongxi Yang, Ankang Gao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Radiomics for the Prediction of Epilepsy in Patients With Frontal Glioma
Ankang Gao, Hongxi Yang, Yida Wang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 18
Ankang Gao, Hongxi Yang, Yida Wang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 18
A Machine Learning Model Predicts the Outcome of SRS for Residual Arteriovenous Malformations after Partial Embolization: A Real-World Clinical Obstacle
Xiangyu Meng, Dezhi Gao, Hongwei He, et al.
World Neurosurgery (2022) Vol. 163, pp. e73-e82
Closed Access | Times Cited: 11
Xiangyu Meng, Dezhi Gao, Hongwei He, et al.
World Neurosurgery (2022) Vol. 163, pp. e73-e82
Closed Access | Times Cited: 11
Preoperative MRI for postoperative seizure prediction: a radiomics study of dysembryoplastic neuroepithelial tumor and a systematic review
Jun Wang, Xinyi Luo, Chenghan Chen, et al.
Neurosurgical FOCUS (2022) Vol. 53, Iss. 4, pp. E7-E7
Open Access | Times Cited: 11
Jun Wang, Xinyi Luo, Chenghan Chen, et al.
Neurosurgical FOCUS (2022) Vol. 53, Iss. 4, pp. E7-E7
Open Access | Times Cited: 11
IDH1 mutation predicts seizure occurrence and prognosis in lower-grade glioma adults
Ting Tang, Yihe Wang, Yang Dai, et al.
Pathology - Research and Practice (2024) Vol. 254, pp. 155165-155165
Closed Access | Times Cited: 1
Ting Tang, Yihe Wang, Yang Dai, et al.
Pathology - Research and Practice (2024) Vol. 254, pp. 155165-155165
Closed Access | Times Cited: 1
Radiomics features from 3D‐MPRAGE imaging can differentiate temporal‐plus epilepsy from temporal lobe epilepsy
Fangzhao Yin, Xiaoming Yan, Runshi Gao, et al.
Epileptic Disorders (2023) Vol. 25, Iss. 5, pp. 681-689
Closed Access | Times Cited: 3
Fangzhao Yin, Xiaoming Yan, Runshi Gao, et al.
Epileptic Disorders (2023) Vol. 25, Iss. 5, pp. 681-689
Closed Access | Times Cited: 3
Clinical evaluation of a novel atlas-based PET/CT brain image segmentation and quantification method for epilepsy
Ying Zhang, Duo Zhang, Zhaofeng Chen, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 9, pp. 4538-4548
Open Access | Times Cited: 5
Ying Zhang, Duo Zhang, Zhaofeng Chen, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 9, pp. 4538-4548
Open Access | Times Cited: 5
Factors Affecting Volume Reduction Velocity for Arteriovenous Malformations After Treatment With Dose-Stage Stereotactic Radiosurgery
Xiangyu Meng, Dezhi Gao, Hengwei Jin, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 7
Xiangyu Meng, Dezhi Gao, Hengwei Jin, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 7
Correlation between Multimodal Radiographic Features and Preoperative Seizure in Brain Tumor using Machine Learning
Reuben George, Li Sze Chow, Kheng Seang Lim, et al.
(2022)
Closed Access | Times Cited: 1
Reuben George, Li Sze Chow, Kheng Seang Lim, et al.
(2022)
Closed Access | Times Cited: 1
Review of Magnetic Resonance Imaging and Post-processing for the Brain Tumor-related Epilepsy Study
Reuben George, Li Sze Chow, Kheng Seang Lim, et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews (2023) Vol. 20, Iss. 1
Open Access
Reuben George, Li Sze Chow, Kheng Seang Lim, et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews (2023) Vol. 20, Iss. 1
Open Access
A novel deep learning model for glioma epilepsy associated with the identification of human cytomegalovirus infection injuries based on head MR
Wei Wang, Xuanyi Li, L. Ye, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access
Wei Wang, Xuanyi Li, L. Ye, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access
