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:
Radiomics in Head and Neck Cancer Outcome Predictions
M. Sameiro T. Gonçalves, Christina Gsaxner, André Ferreira, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2733-2733
Open Access | Times Cited: 13
M. Sameiro T. Gonçalves, Christina Gsaxner, André Ferreira, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2733-2733
Open Access | Times Cited: 13
Showing 13 citing articles:
Artificial intelligence to predict outcomes of head and neck radiotherapy
Chulmin Bang, Galaad Bernard, William Le, et al.
Clinical and Translational Radiation Oncology (2023) Vol. 39, pp. 100590-100590
Open Access | Times Cited: 26
Chulmin Bang, Galaad Bernard, William Le, et al.
Clinical and Translational Radiation Oncology (2023) Vol. 39, pp. 100590-100590
Open Access | Times Cited: 26
Radiomics-Guided Precision Radiation Therapy in Head and Neck Squamous Cell Carcinoma
Cuiping Yuan, Jeongshin An, Seyedmehdi Payabvash
Radiation (2025) Vol. 5, Iss. 1, pp. 7-7
Open Access | Times Cited: 1
Cuiping Yuan, Jeongshin An, Seyedmehdi Payabvash
Radiation (2025) Vol. 5, Iss. 1, pp. 7-7
Open Access | Times Cited: 1
Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning
Liang Wang, Peipei Zhang, Yanhui Feng, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Liang Wang, Peipei Zhang, Yanhui Feng, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
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
Bao Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomić, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 19
MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic prognostic signatures
Anna Corti, Loris De Cecco, Stefano Cavalieri, et al.
Biomarker Research (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 13
Anna Corti, Loris De Cecco, Stefano Cavalieri, et al.
Biomarker Research (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 13
Clinical-Radiomics Nomogram Based on Contrast-Enhanced Ultrasound for Preoperative Prediction of Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma
Liqing Jiang, Zijian Zhang, Shiyan Guo, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1613-1613
Open Access | Times Cited: 11
Liqing Jiang, Zijian Zhang, Shiyan Guo, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1613-1613
Open Access | Times Cited: 11
Ein Ausblick in die Zukunft der onkologisch-rekonstruktiven Mund‑, Kiefer- und Gesichtschirurgie: Mensch oder Maschine?
Behrus Puladi, Rainer Röhrig, Frank Hölzle
Die MKG-Chirurgie (2025)
Open Access
Behrus Puladi, Rainer Röhrig, Frank Hölzle
Die MKG-Chirurgie (2025)
Open Access
Preliminary approach to creation of a prediction model for diagnosis of Sjögren's syndrome using radiomics and machine learning techniques on computed tomography images of the parotid glands
Yoshitaka Kise, Motoki Fukuda, T Shibata, et al.
Imaging Science in Dentistry (2025) Vol. 55
Open Access
Yoshitaka Kise, Motoki Fukuda, T Shibata, et al.
Imaging Science in Dentistry (2025) Vol. 55
Open Access
Machine learning-based radiomics for amyotrophic lateral sclerosis diagnosis
Benedetta Tafuri, Giammarco Milella, Marco Filardi, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122585-122585
Open Access | Times Cited: 6
Benedetta Tafuri, Giammarco Milella, Marco Filardi, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122585-122585
Open Access | Times Cited: 6
Value of clinical features combined with multimodal ultrasound in predicting lymph node metastasis in cervical central area of papillary thyroid carcinoma
Jie Xue, Siyao Li, Nina Qu, et al.
Journal of Clinical Ultrasound (2023) Vol. 51, Iss. 5, pp. 908-918
Closed Access | Times Cited: 5
Jie Xue, Siyao Li, Nina Qu, et al.
Journal of Clinical Ultrasound (2023) Vol. 51, Iss. 5, pp. 908-918
Closed Access | Times Cited: 5
A novel loss function to reproduce texture features for deep learning‐based MRI‐to‐CT synthesis
Siqi Yuan, Yuxiang Liu, Ran Wei, et al.
Medical Physics (2023) Vol. 51, Iss. 4, pp. 2695-2706
Open Access | Times Cited: 3
Siqi Yuan, Yuxiang Liu, Ran Wei, et al.
Medical Physics (2023) Vol. 51, Iss. 4, pp. 2695-2706
Open Access | Times Cited: 3
Priority radiomic parameters for computed tomography of head and neck malignancies: A systematic review
Yuriy A. Vasilev, Olga Nanova, Ivan A. Blokhin, et al.
Digital Diagnostics (2024) Vol. 5, Iss. 2, pp. 255-268
Open Access
Yuriy A. Vasilev, Olga Nanova, Ivan A. Blokhin, et al.
Digital Diagnostics (2024) Vol. 5, Iss. 2, pp. 255-268
Open Access
Performance of Handcrafted Radiomics versus Deep Learning for Prognosticating Head and Neck Squamous Cell Carcinoma: A Systematic Review with Critical Appraisal of Quantitative Imaging Studies
Varsha Gouthamchand, Louise AF Fonseca, Frank Hoebers, et al.
(2024)
Open Access
Varsha Gouthamchand, Louise AF Fonseca, Frank Hoebers, et al.
(2024)
Open Access
