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:
Can 18F-FDG PET/CT Radiomics Features Predict Clinical Outcomes in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma?
Vetri Sudar Jayaprakasam, Peter Gibbs, Natalie Gangai, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 3035-3035
Open Access | Times Cited: 10
Vetri Sudar Jayaprakasam, Peter Gibbs, Natalie Gangai, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 3035-3035
Open Access | Times Cited: 10
Showing 10 citing articles:
Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures
Yongbin Cui, Zhengjiang Li, Mingyue Xiang, et al.
Radiation Oncology (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 30
Yongbin Cui, Zhengjiang Li, Mingyue Xiang, et al.
Radiation Oncology (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 30
The gap before real clinical application of imaging-based machine-learning and radiomic models for chemoradiation outcome prediction in esophageal cancer: a systematic review and meta-analysis
Zhi Yang, Jie Gong, Jie Li, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 8, pp. 2451-2466
Open Access | Times Cited: 15
Zhi Yang, Jie Gong, Jie Li, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 8, pp. 2451-2466
Open Access | Times Cited: 15
Comparative analysis of U-Mamba and no new U-Net for the detection and segmentation of esophageal cancer in contrast-enhanced computed tomography images
Yifan Hu, Yi Zhang, Zeyu Tang, et al.
Quantitative Imaging in Medicine and Surgery (2025) Vol. 15, Iss. 3, pp. 2119-2131
Open Access
Yifan Hu, Yi Zhang, Zeyu Tang, et al.
Quantitative Imaging in Medicine and Surgery (2025) Vol. 15, Iss. 3, pp. 2119-2131
Open Access
Preoperative prediction of clinical and pathological stages for patients with esophageal cancer using PET/CT radiomics
Xiyao Lei, Z. Alexander Cao, Yibo Wu, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Xiyao Lei, Z. Alexander Cao, Yibo Wu, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Prognostic value of 18F‐FDG PET radiomics and sarcopenia in patients with oral squamous cell carcinoma
Yuxing Song, Ying Tian, Xinyan Lu, et al.
Medical Physics (2024) Vol. 51, Iss. 7, pp. 4907-4921
Closed Access | Times Cited: 3
Yuxing Song, Ying Tian, Xinyan Lu, et al.
Medical Physics (2024) Vol. 51, Iss. 7, pp. 4907-4921
Closed Access | Times Cited: 3
Laboratory blood parameters and machine learning for the prognosis of esophageal squamous cell carcinoma
Feng Lu, Yang Lin-lan, Zhenglian Luo, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Feng Lu, Yang Lin-lan, Zhenglian Luo, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
The role of spleen radiomics model for predicting prognosis in esophageal squamous cell carcinoma patients receiving definitive radiotherapy
Longxiang Guo, Ao Liu, Xiaotao Geng, et al.
Thoracic Cancer (2024) Vol. 15, Iss. 12, pp. 947-964
Open Access | Times Cited: 1
Longxiang Guo, Ao Liu, Xiaotao Geng, et al.
Thoracic Cancer (2024) Vol. 15, Iss. 12, pp. 947-964
Open Access | Times Cited: 1
Gastro-Esophageal Cancer: Can Radiomic Parameters from Baseline 18F-FDG-PET/CT Predict the Development of Distant Metastatic Disease?
Ricarda Hinzpeter, Seyed Ali Mirshahvalad, Roshini Kulanthaivelu, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1205-1205
Open Access
Ricarda Hinzpeter, Seyed Ali Mirshahvalad, Roshini Kulanthaivelu, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1205-1205
Open Access
Özefagus Kanserinde Kullanılan Görüntülemelerdeki Radyomik Özelliklerin Kemoradyoterapi Yanıtının Öngörülmesindeki Rolü
(2023)
Open Access
(2023)
Open Access
Laboratory Blood Parameters and Machine Learning for the Prognosis of Esophageal Squamous Cell Carcinoma
Feng Lu, Yang Lin-lan, Qiao He, et al.
(2023)
Closed Access
Feng Lu, Yang Lin-lan, Qiao He, et al.
(2023)
Closed Access
