
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:
Shape and texture analyses based on conventional MRI for the preoperative prediction of the aggressiveness of pituitary adenomas
Xiaoqing Wang, Yongming Dai, Hai Lin, et al.
European Radiology (2023) Vol. 33, Iss. 5, pp. 3312-3321
Closed Access | Times Cited: 14
Xiaoqing Wang, Yongming Dai, Hai Lin, et al.
European Radiology (2023) Vol. 33, Iss. 5, pp. 3312-3321
Closed Access | Times Cited: 14
Showing 14 citing articles:
Preoperative Assessment of Ki‐67 Labeling Index in Pituitary Adenomas Using Delta‐Radiomics Based on Dynamic Contrast‐Enhanced MRI
Kaiyang Zhao, Chaoyue Chen, Yang Zhang, et al.
Journal of Magnetic Resonance Imaging (2025)
Closed Access | Times Cited: 1
Kaiyang Zhao, Chaoyue Chen, Yang Zhang, et al.
Journal of Magnetic Resonance Imaging (2025)
Closed Access | Times Cited: 1
Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics
Yalin Zhang, Huiling Liu, Cheng Chang, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300170-e0300170
Open Access | Times Cited: 7
Yalin Zhang, Huiling Liu, Cheng Chang, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300170-e0300170
Open Access | Times Cited: 7
Radiomics based on preoperative magnetic resonance imaging predict the cell lineages of nonfunctioning pituitary neuroendocrine tumors
Xuening Zhao, Xu Fu, Xiaochen Wang, et al.
Neuroradiology (2025)
Closed Access
Xuening Zhao, Xu Fu, Xiaochen Wang, et al.
Neuroradiology (2025)
Closed Access
Radiomic Analysis in Pituitary Tumors: Current Knowledge and Future Perspectives
Fabio Bioletto, Nunzia Prencipe, Alessandro Maria Berton, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 336-336
Open Access | Times Cited: 4
Fabio Bioletto, Nunzia Prencipe, Alessandro Maria Berton, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 336-336
Open Access | Times Cited: 4
Preoperative prediction of pituitary neuroendocrine tumor invasion using multiparametric MRI radiomics
Qiuyuan Yang, Tengfei Ke, Jialei Wu, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access
Qiuyuan Yang, Tengfei Ke, Jialei Wu, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access
Analysis of Risk Factors and Development of a Prediction Model for Intraoperative Cerebrospinal Fluid Leakage During Transsphenoidal Pituitary Adenoma Surgery
Jie Wang, Zhuoyuan Li, Yunfeng Wang, et al.
Journal of Evidence-Based Medicine (2025) Vol. 18, Iss. 1
Closed Access
Jie Wang, Zhuoyuan Li, Yunfeng Wang, et al.
Journal of Evidence-Based Medicine (2025) Vol. 18, Iss. 1
Closed Access
A semantic segmentation model for automatic precise identification of pituitary microadenomas with preoperative MRI
C. Z. Yuan, Hang Qu, Huming Dai, et al.
Neuroradiology (2025)
Closed Access
C. Z. Yuan, Hang Qu, Huming Dai, et al.
Neuroradiology (2025)
Closed Access
Preoperative Prediction of Non-functional Pituitary Neuroendocrine Tumors and Posterior Pituitary Tumors Based on MRI Radiomic Features
Shucheng Jin, Xu Qin, Chen Sun, et al.
Deleted Journal (2025)
Closed Access
Shucheng Jin, Xu Qin, Chen Sun, et al.
Deleted Journal (2025)
Closed Access
The current state of MRI-based radiomics in pituitary adenoma: promising but challenging
Baoping Zheng, Zhen Zhao, Pingping Zheng, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 3
Baoping Zheng, Zhen Zhao, Pingping Zheng, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 3
Preoperative MRI-based radiomic nomogram for distinguishing solitary fibrous tumor from angiomatous meningioma: a multicenter study
Mengjie Li, Shengli Fu, Jingjing Du, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Mengjie Li, Shengli Fu, Jingjing Du, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Automatic knee osteoarthritis severity grading based on X-ray images using a hierarchical classification method
Jianji Pan, Yuangang Wu, Zhenchao Tang, et al.
Arthritis Research & Therapy (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Jianji Pan, Yuangang Wu, Zhenchao Tang, et al.
Arthritis Research & Therapy (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Preoperative and postoperative blood testosterone levels in patients with acromegaly: a prospective study
Duoxing Zhang, Xiaopeng Guo, Ming Feng, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 3
Duoxing Zhang, Xiaopeng Guo, Ming Feng, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 3
Radiomic texture analysis based on neurite orientation dispersion and density imaging to differentiate glioblastoma from solitary brain metastasis
Jie Bai, Mengyang He, Eryuan Gao, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Jie Bai, Mengyang He, Eryuan Gao, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Radiomic Applications in Skull Base Pathology: A Systematic Review of Potential Clinical Uses
Samuel A. Tenhoeve, Sydnee Lefler, Julian Brown, et al.
Journal of Neurological Surgery Part B Skull Base (2024)
Closed Access
Samuel A. Tenhoeve, Sydnee Lefler, Julian Brown, et al.
Journal of Neurological Surgery Part B Skull Base (2024)
Closed Access
Multiparameter and Ultrasound Radiomics Nomogram to Predict the Aggressiveness of Papillary Thyroid Carcinomas: A Multicenter, Retrospective Study
Fang Li, Yu Du, Long Liu, et al.
Academic Radiology (2024)
Closed Access
Fang Li, Yu Du, Long Liu, et al.
Academic Radiology (2024)
Closed Access