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 and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
La radiologia medica (2023) Vol. 128, Iss. 11, pp. 1310-1332
Closed Access | Times Cited: 12
Vincenza Granata, Roberta Fusco, Federica De Muzio, et al.
La radiologia medica (2023) Vol. 128, Iss. 11, pp. 1310-1332
Closed Access | Times Cited: 12
Showing 12 citing articles:
Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
Hongwei Liu, Wei Zhang, Yihao Zhang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2798-2810
Open Access | Times Cited: 14
Hongwei Liu, Wei Zhang, Yihao Zhang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2798-2810
Open Access | Times Cited: 14
Diagnostic performance of contrast-enhanced CT combined with contrast-enhanced MRI for colorectal liver metastases: a case-control study
L. J. Zhang, Lianwei Bai
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access
L. J. Zhang, Lianwei Bai
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access
Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
La radiologia medica (2024) Vol. 129, Iss. 7, pp. 957-966
Closed Access | Times Cited: 4
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
La radiologia medica (2024) Vol. 129, Iss. 7, pp. 957-966
Closed Access | Times Cited: 4
Machine learning-based radiomics analysis in predicting RAS mutational status using magnetic resonance imaging
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 420-428
Closed Access | Times Cited: 3
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 420-428
Closed Access | Times Cited: 3
Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 152-152
Open Access | Times Cited: 2
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 152-152
Open Access | Times Cited: 2
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: 2
Riccardo Ferrari, Margherita Trinci, Alice Casinelli, et al.
La radiologia medica (2024)
Closed Access | Times Cited: 2
Radiomics in Radiology: What the Radiologist Need to Know about Technical Aspects and Clinical Impact
Riccardo Ferrari, Margherita Trinci, Alice Casinelli, et al.
(2024)
Open Access | Times Cited: 1
Riccardo Ferrari, Margherita Trinci, Alice Casinelli, et al.
(2024)
Open Access | Times Cited: 1
Scientific Status Quo of Small Renal Lesions: Diagnostic Assessment and Radiomics
Piero Trovato, Igino Simonetti, Alessio Morrone, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 547-547
Open Access
Piero Trovato, Igino Simonetti, Alessio Morrone, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 547-547
Open Access
Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)
Federica Flammia, Roberta Fusco, Sonia Triggiani, et al.
Cancer Control (2024) Vol. 31
Open Access
Federica Flammia, Roberta Fusco, Sonia Triggiani, et al.
Cancer Control (2024) Vol. 31
Open Access
Artificial intelligence in fracture detection on radiographs: a literature review
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access
Antonio Lo Mastro, Enrico Grassi, Daniela Berritto, et al.
Japanese Journal of Radiology (2024)
Closed Access
Prediction of esophageal fistula in radiotherapy/chemoradiotherapy for patients with advanced esophageal cancer by a clinical-deep learning radiomics model
Yuxin Zhang, Cheng Xu, Xianli Luo, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Yuxin Zhang, Cheng Xu, Xianli Luo, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Comments on “Current status and quality of radiomic studies for predicting KRAS mutations in colorectal cancer patients: A systematic review and meta-analysis”
Roberta Fusco, Vincenza Granata
European Journal of Radiology (2023) Vol. 169, pp. 111192-111192
Closed Access
Roberta Fusco, Vincenza Granata
European Journal of Radiology (2023) Vol. 169, pp. 111192-111192
Closed Access
Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
Hongwei Liu, Wei Zhang, Yihao Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Hongwei Liu, Wei Zhang, Yihao Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
