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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 18 citing articles:

AI applications in musculoskeletal imaging: a narrative review
Salvatore Gitto, Francesca Serpi, Domenico Albano, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 20
Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application
Yichen Meng, Yue Yang, Miao Hu, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 75-87
Closed Access | Times Cited: 22
CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies
Salvatore Gitto, Renato Cuocolo, Merel Huisman, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities
Salvatore Gitto, Matteo Interlenghi, Renato Cuocolo, et al.
La radiologia medica (2023) Vol. 128, Iss. 8, pp. 989-998
Open Access | Times Cited: 11
The value of 2D and 3D MRI texture models in Grade II and III anterior cruciate ligament injuries
Qian Zhang, Yeyu Xiao, H. J. Yang, et al.
The Knee (2025)
Closed Access
Preoperative prediction of the Lauren classification in gastric cancer using automated nnU-Net and radiomics: a multicenter study
Bo Cao, Jun Hu, Haige Li, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
Effects of simultaneous multislice acceleration on the stability of radiomics features in parametric maps of IVIM and DKI in uterine cervical cancer
Shuangquan Ai, Wei Peng, Rong Hou, et al.
Journal of Applied Clinical Medical Physics (2025)
Open Access
X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones
Salvatore Gitto, Alessio Annovazzi, Kitija Nulle, et al.
EBioMedicine (2024) Vol. 101, pp. 105018-105018
Open Access | Times Cited: 3
Applications of Artificial Intelligence for Pediatric Cancer Imaging
Shashi B. Singh, Amir Hossein Sarrami, Sergios Gatidis, et al.
American Journal of Roentgenology (2024) Vol. 223, Iss. 2
Closed Access | Times Cited: 3
CT radiomics to differentiate neuroendocrine neoplasm from adenocarcinoma in patients with a peripheral solid pulmonary nodule: a multicenter study
Xiaoyu Liu, Hongjian Li, Shengping Wang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Effects of Interobserver Segmentation Variability and Intensity Discretization on MRI-Based Radiomic Feature Reproducibility of Lipoma and Atypical Lipomatous Tumor
Salvatore Gitto, Renato Cuocolo, Vincenzo Giannetta, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1187-1200
Open Access | Times Cited: 2
Radiomics in Musculoskeletal Tumors
Daniel Brandenberger, Lawrence M. White
Seminars in Musculoskeletal Radiology (2024) Vol. 28, Iss. 01, pp. 049-061
Closed Access | Times Cited: 1
Finding the Pieces to Treat the Whole: Using Radiomics to Identify Tumor Habitats
Hersh Sagreiya
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 1
Three-Dimensional Magnetic Resonance Imaging in the Musculoskeletal System
Shivani Ahlawat, Neil M. Kumar, Ali Ghasemi, et al.
Investigative Radiology (2024) Vol. 60, Iss. 3, pp. 184-197
Closed Access | Times Cited: 1
A reduction in tumor volume exceeding 65% predicts a good histological response to neoadjuvant chemotherapy in patients with Ewing sarcoma
Ayano Aso, Hisaki Aiba, Matteo Traversari, et al.
Skeletal Radiology (2024) Vol. 53, Iss. 12, pp. 2653-2664
Closed Access
Predictive Performance of Radiomic Features Extracted from Breast MR Imaging in Postoperative Upgrading of Ductal Carcinoma <i>in Situ</i> to Invasive Carcinoma
Hiroko Satake, Fumie Kinoshita, Satoko Ishigaki, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access
Potential von MRT-basierten Radiomics Features zur Differenzierung zwischen pädiatrischen Ewing-Sarkom Patienten mit gutem und schlechtem Ansprechen auf die neoadjuvante Chemotherapie
John D. Miedler, Michael Götz, Holger Cario, et al.
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (2024) Vol. 196
Closed Access
Multiparametric MRI–based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques
Yongsik Sim, Minjae Kim, Jinna Kim, et al.
European Radiology (2023) Vol. 34, Iss. 5, pp. 3102-3112
Closed Access | Times Cited: 1
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