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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.

Requested Article:

Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features
Fu-Hai Wang, Hua‐Long Zheng, Jintao Li, et al.
La radiologia medica (2022) Vol. 127, Iss. 10, pp. 1085-1097
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Artificial Intelligence in Lung Cancer Screening: The Future Is Now
Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4344-4344
Open Access | Times Cited: 56
The application of radiomics in cancer imaging with a focus on lung cancer, renal cell carcinoma, gastrointestinal cancer, and head and neck cancer: A systematic review
Roberta Fusco, Vincenza Granata, Sergio Venanzio Setola, et al.
Physica Medica (2025) Vol. 130, pp. 104891-104891
Closed Access | Times Cited: 2
An Informative Review of Radiomics Studies on Cancer Imaging: The Main Findings, Challenges and Limitations of the Methodologies
Roberta Fusco, Vincenza Granata, Igino Simonetti, et al.
Current Oncology (2024) Vol. 31, Iss. 1, pp. 403-424
Open Access | Times Cited: 10
Update on the Applications of Radiomics in Diagnosis, Staging, and Recurrence of Intrahepatic Cholangiocarcinoma
Maria Chiara Brunese, Maria Rita Fantozzi, Roberta Fusco, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1488-1488
Open Access | Times Cited: 19
Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography
Mario Sansone, Roberta Fusco, Francesca Grassi, et al.
Current Oncology (2023) Vol. 30, Iss. 1, pp. 839-853
Open Access | Times Cited: 16
Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features
Jian‐Xian Lin, Fu-Hai Wang, Zu‐Kai Wang, et al.
La radiologia medica (2023) Vol. 128, Iss. 6, pp. 644-654
Closed Access | Times Cited: 13
Radiomics in Lung Metastases: A Systematic Review
Michela Gabelloni, Lorenzo Faggioni, Roberta Fusco, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 225-225
Open Access | Times Cited: 12
CT and MRI of Gastrointestinal Stromal Tumours: New Trends and Perspectives
Maxime Barat, Anna Pellat, Anthony Dohan, et al.
Canadian Association of Radiologists Journal (2023) Vol. 75, Iss. 1, pp. 107-117
Closed Access | Times Cited: 10
Radiomics in gastrointestinal stromal tumours: an up-to-date review
Antonio Galluzzo, Sofia Boccioli, Ginevra Danti, et al.
Japanese Journal of Radiology (2023) Vol. 41, Iss. 10, pp. 1051-1061
Closed Access | Times Cited: 9
Peritoneal Carcinosis: What the Radiologist Needs to Know
Alfonso Reginelli, Giuliana Giacobbe, Maria Teresa Del Canto, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1974-1974
Open Access | Times Cited: 9
Quantitative ultrasound (QUS) in the evaluation of liver steatosis: data reliability in different respiratory phases and body positions
Aldo Rocca, Klara Komici, Maria Chiara Brunese, et al.
La radiologia medica (2024) Vol. 129, Iss. 4, pp. 549-557
Open Access | Times Cited: 3
Radiomics in radiology: What the radiologist needs to know about technical aspects and clinical impact
Riccardo Ferrari, Margherita Trinci, Alice Casinelli, et al.
La radiologia medica (2024)
Closed Access | Times Cited: 3
Development and validation of a computed tomography-based radiomics signature to predict “highest-risk” from patients with high-risk gastrointestinal stromal tumor
Jiabin Zheng, Qianchao Liao, Xiaobo Chen, et al.
Journal of Gastrointestinal Oncology (2024) Vol. 15, Iss. 1, pp. 125-133
Open Access | Times Cited: 2
Prediction of high Ki-67 proliferation index of gastrointestinal stromal tumors based on CT at non-contrast-enhanced and different contrast-enhanced phases
Zhenhui Xie, Shiteng Suo, Wang Zhang, et al.
European Radiology (2023) Vol. 34, Iss. 4, pp. 2223-2232
Open Access | Times Cited: 6
Gender Medicine in Clinical Radiology Practice
Giuliana Giacobbe, Vincenza Granata, Piero Trovato, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 223-223
Open Access | Times Cited: 4
Sub-regional CT Radiomics for the Prediction of Ki-67 Proliferation Index in Gastrointestinal Stromal Tumors: A Multi-center Study
Wemin Cai, Kun Guo, Yongxian Chen, et al.
Academic Radiology (2024) Vol. 31, Iss. 12, pp. 4974-4984
Closed Access | Times Cited: 1
Immunotherapy Assessment: A New Paradigm for Radiologists
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 302-302
Open Access | Times Cited: 3
Post-Surgical Imaging Assessment in Rectal Cancer: Normal Findings and Complications
Federica De Muzio, Roberta Fusco, Carmen Cutolo, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 4, pp. 1489-1489
Open Access | Times Cited: 3
An overview on multimodal imaging for the diagnostic workup of pleural mesothelioma
Michela Gabelloni, Lorenzo Faggioni, Maria Chiara Brunese, et al.
Japanese Journal of Radiology (2023) Vol. 42, Iss. 1, pp. 16-27
Open Access | Times Cited: 3
Diffusion kurtosis imaging and standard diffusion imaging in the magnetic resonance imaging assessment of prostate cancer
Pierpaolo Palumbo, Andrea Martinese, Maria Rosaria Antenucci, et al.
Gland Surgery (2023) Vol. 12, Iss. 12, pp. 1806-1822
Open Access | Times Cited: 3
Gastrointestinal Stromal Tumors: Diagnosis, Follow-up and Role of Radiomics in a Single Center Experience
Francesca Giudice, Sergio Salerno, Giuseppe Badalamenti, et al.
Seminars in Ultrasound CT and MRI (2023) Vol. 44, Iss. 3, pp. 194-204
Closed Access | Times Cited: 2
Prediction of High-Risk Gastrointestinal Stromal Tumor Recurrence Based on Delta-CT Radiomics Modeling: A 3-Year Follow-up Study After Surgery
Xianqun Ji, Yu Shang, Lin Tan, et al.
Clinical Medicine Insights Oncology (2024) Vol. 18
Open Access
Deep learning model combined with computed tomography features to preoperatively predicting the risk stratification of gastrointestinal stromal tumors
Yi Li, Yanbei Liu, Xubin Li, et al.
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 12, pp. 4663-4674
Closed Access
Potential of radiomics in the diagnosis of gastrointestinal stromal tumors: a literature review.
Elina A. Martirosyan, G. G. Kаrmаzаnovsky, E. V. Kondratyev, et al.
Digital Diagnostics (2024)
Open Access
Prognostic Assessment of Gastropancreatic Neuroendocrine Neoplasm: Prospects and limits of Radiomics
Federica De Muzio, Fabio Pellegrino, Roberta Fusco, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2877-2877
Open Access | Times Cited: 1
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