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OpenAlex Citation Counts

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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.

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Showing 24 citing articles:

Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Yuanpeng Zhang, Xinyun Zhang, Yu‐Ting Cheng, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 87
Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects
Rasheed Omobolaji Alabi, Mohammed Elmusrati, Ilmo Leivo, et al.
International Journal of Medical Informatics (2024) Vol. 188, pp. 105464-105464
Open Access | Times Cited: 14
Applications of artificial intelligence in dentomaxillofacial imaging–a systematic review
Serlie Hartoonian, Matine Hosseini, Iman Yousefi, et al.
Oral Surgery Oral Medicine Oral Pathology and Oral Radiology (2024) Vol. 138, Iss. 5, pp. 641-655
Closed Access | Times Cited: 9
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomić, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 19
From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics
Zohaib Salahuddin, Yi Chen, Xian Zhong, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 1932-1932
Open Access | Times Cited: 14
Role of radiomics as a predictor of disease recurrence in ovarian cancer: a systematic review
Niall J. O’Sullivan, Hugo C. Temperley, M. Horan, et al.
Abdominal Radiology (2024) Vol. 49, Iss. 10, pp. 3540-3547
Open Access | Times Cited: 4
Prognostic Power of Radiomics in Head and Neck Cancers: Insights from a Meta-Analysis
Tingwei Wang, Chih-Keng Wang, Jia‐Sheng Hong, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 262, pp. 108683-108683
Closed Access
Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web Applications
Takeshi Emura, Hirofumi Michimae, Shigeyuki Matsui
Entropy (2022) Vol. 24, Iss. 5, pp. 589-589
Open Access | Times Cited: 15
Functional-structural sub-region graph convolutional network (FSGCN): Application to the prognosis of head and neck cancer with PET/CT imaging
Wenbing Lv, Zidong Zhou, Junyi Peng, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 230, pp. 107341-107341
Open Access | Times Cited: 8
Prognostic value of 18F-FDG PET/CT-based radiomics combining dosiomics and dose volume histogram for head and neck cancer
Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, et al.
EJNMMI Research (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Computed tomography (CT) derived radiomics to predict post-operative disease recurrence in gastric cancer; a systematic review
Niall J. O’Sullivan, Hugo C. Temperley, M. Horan, et al.
Current Problems in Diagnostic Radiology (2024) Vol. 53, Iss. 6, pp. 717-722
Closed Access | Times Cited: 2
Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC
Sumeet Hindocha, Thomas Charlton, Kristofer Linton‐Reid, et al.
npj Precision Oncology (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 10
Systematic review and meta-analysis of the prognostic value of 18F-Fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) and/or computed tomography (CT)-based radiomics in head and neck cancer
Boyuan Wang, J. Liu, Jing Xie, et al.
Clinical Radiology (2024) Vol. 79, Iss. 10, pp. 757-772
Closed Access | Times Cited: 1
Integrating Clinical Variables, Radiomics, and Tumor-derived Cell-free DNA for Enhanced Prediction of Resectable Esophageal Adenocarcinoma Outcomes
Tom van den Ende, Steven C. Kuijper, Yousif Widaatalla, et al.
International Journal of Radiation Oncology*Biology*Physics (2024)
Open Access | Times Cited: 1
Clinical predictive models for recurrence and survival in treated laryngeal and hypopharyngeal cancer: a systematic review and meta-analysis
Ahmad K. Abou‐Foul, Janine Dretzke, Esther Albon, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1
Nasopharyngeal Carcinoma Radiomic Evaluation with Serial PET/CT: Exploring Features Predictive of Survival in Patients with Long-Term Follow-Up
Adam A. Dmytriw, Claudia Ortega, Reut Anconina, et al.
Cancers (2022) Vol. 14, Iss. 13, pp. 3105-3105
Open Access | Times Cited: 7
Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer
Shuyan Li, Jiayi Xie, Jinghua Liu, et al.
Journal of Computer Assisted Tomography (2024) Vol. 48, Iss. 3, pp. 498-507
Closed Access
Artificial intelligence in otolaryngology
Nathan Farrokhian, Andrés M. Bur
Elsevier eBooks (2024), pp. 109-131
Closed Access
Artificial intelligence for data-driven decision support systems in clinical cancer research: implementation guidelines
Laura Lopez-Perez
(2022)
Open Access | Times Cited: 1
AI applications in routine clinical imaging
Akshayaa Vaidyanathan
(2023)
Open Access
KEMORADYOTERAPİ İLE TEDAVİ EDİLEN BAŞ VE BOYUN SKUAMÖZ HÜCRELİ KANSERİNDE BİLGİSAYARLI TOMOGRAFİ HİSTOGRAM ANALİZİNİN SAĞKALIM SÜRESİ VE LOKAL KONTROL SÜRESİ İLE İLİŞKİSİNİN ARAŞTIRILMASI
Sevtap Arslan, Yasin Sarıkaya
Kocatepe tıp dergisi. (2023) Vol. 24, Iss. 2, pp. 133-140
Open Access
Construction and validation of a prognostic nine-gene signature associated with radiosensitivity in head and neck squamous cell carcinoma
Congxian Lu, Qi Sun, Ying Guo, et al.
Clinical and Translational Radiation Oncology (2023) Vol. 43, pp. 100686-100686
Open Access
Hand-crafted and deep radiomics for the management of advanced cancer stages
Simon Keek
(2023)
Open Access
An Investigation on Radiomics Feature Handling for HNSCC Staging Classification
Nadia Brancati, Massimo La Rosa, Giuseppe De Pietro, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7826-7826
Open Access
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