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:
Machine learning models combining computed tomography semantic features and selected clinical variables for accurate prediction of the pathological grade of bladder cancer
Zhikang Deng, Wentao Dong, Situ Xiong, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
Zhikang Deng, Wentao Dong, Situ Xiong, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 8
Showing 8 citing articles:
A computed tomography urography‐based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma
Yanghuang Zheng, Hongjin Shi, Shi Fu, et al.
Cancer Medicine (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Yanghuang Zheng, Hongjin Shi, Shi Fu, et al.
Cancer Medicine (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Imaging in Upper Tract Urothelial Carcinoma: A Review
Lucas Tsikitas, Michelle Hopstone, A. Raman, et al.
Cancers (2023) Vol. 15, Iss. 20, pp. 5040-5040
Open Access | Times Cited: 11
Lucas Tsikitas, Michelle Hopstone, A. Raman, et al.
Cancers (2023) Vol. 15, Iss. 20, pp. 5040-5040
Open Access | Times Cited: 11
Radiomics Signature Based on Support Vector Machines for the Prediction of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer
Chao Li, Haiyan Chen, Bicheng Zhang, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5134-5134
Open Access | Times Cited: 6
Chao Li, Haiyan Chen, Bicheng Zhang, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5134-5134
Open Access | Times Cited: 6
Artificial intelligence application in the diagnosis and treatment of bladder cancer: advance, challenges, and opportunities
Xiaoyu Ma, Qiuchen Zhang, Lingling He, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Xiaoyu Ma, Qiuchen Zhang, Lingling He, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Preoperative assessment of grade, T stage, and lymph node involvement: machine learning-based CT texture analysis in colon cancer
Hande Melike Bülbül, Gülen Burakgazi, Uğur Kesimal
Japanese Journal of Radiology (2023) Vol. 42, Iss. 3, pp. 300-307
Closed Access | Times Cited: 3
Hande Melike Bülbül, Gülen Burakgazi, Uğur Kesimal
Japanese Journal of Radiology (2023) Vol. 42, Iss. 3, pp. 300-307
Closed Access | Times Cited: 3
Predicting distant metastasis of bladder cancer using multiple machine learning models: a study based on the SEER database with external validation
Xin Chang Zou, Xu-Guang Rao, Jian Huang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Xin Chang Zou, Xu-Guang Rao, Jian Huang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
A multimodal deep-learning model based on multichannel CT radiomics for predicting pathological grade of bladder cancer
Ting Zhao, Jian He, Licui Zhang, et al.
Abdominal Radiology (2024)
Closed Access
Ting Zhao, Jian He, Licui Zhang, et al.
Abdominal Radiology (2024)
Closed Access
Development and validation of a radiomics-based nomogram for predicting pathological grade of upper urinary tract urothelial carcinoma
Yanghuang Zheng, Hongjin Shi, Shihui Fu, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
Yanghuang Zheng, Hongjin Shi, Shihui Fu, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access
