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:
A Multicenter Study on Preoperative Assessment of Lymphovascular Space Invasion in Early‐Stage Cervical Cancer Based on Multimodal MR Radiomics
Yu Wu, Shuxing Wang, Yiqing Chen, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 58, Iss. 5, pp. 1638-1648
Closed Access | Times Cited: 15
Yu Wu, Shuxing Wang, Yiqing Chen, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 58, Iss. 5, pp. 1638-1648
Closed Access | Times Cited: 15
Showing 15 citing articles:
Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram
Rui Zhang, Shijun Jia, Linhan Zhai, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Rui Zhang, Shijun Jia, Linhan Zhai, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Imaging-Based Artificial Intelligence for Predicting Lymph Vascular Space Invasion in Cervical Cancer: A Systematic Review and Meta-Analysis (Preprint)
Li-Zhen She, Yunfeng Li, Hongyong Wang, et al.
Journal of Medical Internet Research (2025)
Open Access
Li-Zhen She, Yunfeng Li, Hongyong Wang, et al.
Journal of Medical Internet Research (2025)
Open Access
Radiomics analysis based on multiparametric magnetic resonance imaging for differentiating early stage of cervical cancer
Feng Wu, Rui Zhang, Feng Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 3
Feng Wu, Rui Zhang, Feng Li, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 3
A nomogram of preoperative indicators predicting lymph vascular space invasion in cervical cancer
Qu Guo, Yufeng Gao, Yaying Lin, et al.
Archives of Gynecology and Obstetrics (2024) Vol. 309, Iss. 5, pp. 2079-2087
Closed Access | Times Cited: 2
Qu Guo, Yufeng Gao, Yaying Lin, et al.
Archives of Gynecology and Obstetrics (2024) Vol. 309, Iss. 5, pp. 2079-2087
Closed Access | Times Cited: 2
The application of radiomics machine learning models based on multimodal MRI with different sequence combinations in predicting cervical lymph node metastasis in oral tongue squamous cell carcinoma patients
Sheng Liu, Aihua Zhang, Jianjun Xiong, et al.
Head & Neck (2023) Vol. 46, Iss. 3, pp. 513-527
Closed Access | Times Cited: 6
Sheng Liu, Aihua Zhang, Jianjun Xiong, et al.
Head & Neck (2023) Vol. 46, Iss. 3, pp. 513-527
Closed Access | Times Cited: 6
An MRI radiomics-based model for the prediction of invasion of the lymphovascular space in patients with cervical cancer
Nannan Ma, Tao Wang, Yanan Lv, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Nannan Ma, Tao Wang, Yanan Lv, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
The role of radiomics for predicting of lymph-vascular space invasion in cervical cancer patients based on artificial intelligence: a systematic review and meta-analysis
Mengli Zhao, Zhen Li, X. Gu, et al.
Journal of Gynecologic Oncology (2024) Vol. 36
Closed Access | Times Cited: 1
Mengli Zhao, Zhen Li, X. Gu, et al.
Journal of Gynecologic Oncology (2024) Vol. 36
Closed Access | Times Cited: 1
MRI-based radiomics models for noninvasive evaluation of lymphovascular space invasion in cervical cancer: a systematic review and meta-analysis
Hao Zhang, Chieh‐Lin Jerry Teng, Yu Yao, et al.
Clinical Radiology (2024) Vol. 79, Iss. 11, pp. e1372-e1382
Closed Access | Times Cited: 1
Hao Zhang, Chieh‐Lin Jerry Teng, Yu Yao, et al.
Clinical Radiology (2024) Vol. 79, Iss. 11, pp. e1372-e1382
Closed Access | Times Cited: 1
Artificial Intelligence in Obstetric and Gynecological MR Imaging
Tsukasa Saida, Wenchao Gu, Sodai Hoshiai, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
Tsukasa Saida, Wenchao Gu, Sodai Hoshiai, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
Preoperative magnetic resonance imaging-radiomics in cervical cancer: a systematic review and meta-analysis
Linyong Wu, Songhua Li, Shaofeng Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Linyong Wu, Songhua Li, Shaofeng Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Radiomics based on MRI in predicting lymphovascular space invasion of cervical cancer: a meta-analysis
Chongshuang Yang, Min Wu, Jiancheng Zhang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Chongshuang Yang, Min Wu, Jiancheng Zhang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Preoperative risk stratification of early-stage endometrial cancer assessed by multimodal magnetic resonance functional imaging
Ryan Ou, Yongjun Peng
Magnetic Resonance Imaging (2024) Vol. 117, pp. 110283-110283
Closed Access
Ryan Ou, Yongjun Peng
Magnetic Resonance Imaging (2024) Vol. 117, pp. 110283-110283
Closed Access
Editorial for “A Multicenter Study on Preoperative Assessment of Lymphovascular Space Invasion in Early‐Stage Cervical Cancer Based on Multimodal MR Radiomics”
Felipe Furtado, Onofrio A. Catalano
Journal of Magnetic Resonance Imaging (2023) Vol. 58, Iss. 5, pp. 1649-1650
Closed Access
Felipe Furtado, Onofrio A. Catalano
Journal of Magnetic Resonance Imaging (2023) Vol. 58, Iss. 5, pp. 1649-1650
Closed Access
Radiomics in Gynaecological Imaging: A State-of-the-Art Review
Paolo Niccolò Franco, Federica Vernuccio, Cesare Maino, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11839-11839
Open Access
Paolo Niccolò Franco, Federica Vernuccio, Cesare Maino, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11839-11839
Open Access
An MRI radiomics-based model for the prediction of invasion of the lymphovascular space in patients with cervical cancer
Nannan Ma, Tao Wang, Shao-Dong Li
Research Square (Research Square) (2023)
Open Access
Nannan Ma, Tao Wang, Shao-Dong Li
Research Square (Research Square) (2023)
Open Access
