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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.

Requested Article:

Clinical applications of artificial intelligence in liver imaging
Akira Yamada, Koji Kamagata, Kenji Hirata, et al.
La radiologia medica (2023) Vol. 128, Iss. 6, pp. 655-667
Closed Access | Times Cited: 20

Showing 20 citing articles:

Application of artificial intelligence radiomics in the diagnosis, treatment, and prognosis of hepatocellular carcinoma
Zhiyuan Bo, Jiatao Song, Qikuan He, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108337-108337
Open Access | Times Cited: 16
Data set terminology of deep learning in medicine: a historical review and recommendation
Shannon L. Walston, Hiroshi Seki, Hirotaka Takita, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 10, pp. 1100-1109
Closed Access | Times Cited: 6
Recent trends in AI applications for pelvic MRI: a comprehensive review
Takahiro Tsuboyama, Masahiro Yanagawa, Tomoyuki Fujioka, et al.
La radiologia medica (2024) Vol. 129, Iss. 9, pp. 1275-1287
Closed Access | Times Cited: 5
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature
Yusuke Matsui, Daiju Ueda, Shohei Fujita, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 5
JJR-TOP GUN Phase 1, Year 2: new perspectives through the integration of artificial intelligence and radiology
Koji Kamagata, Shinji Naganawa
Japanese Journal of Radiology (2025)
Open Access
Quantitative Magnetic Resonance Imaging Methods for the Assessment and Prediction of Treatment Response to Transarterial Chemoembolization in Hepatocellular Carcinoma
Jingwen Zhang, Cheng Yan, Yingxuan Wang, et al.
Academic Radiology (2025)
Closed Access
Advancing clinical MRI exams with artificial intelligence: Japan’s contributions and future prospects
Shohei Fujita, Yasutaka Fushimi, Rintaro Ito, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 3
Overview of Target-Oriented Project Group United for Nippon (TOP GUN): fostering interdisciplinary collaboration among young researchers in radiology on timely topics
Koji Kamagata, Shinji Naganawa
Japanese Journal of Radiology (2024) Vol. 42, Iss. 9, pp. 935-936
Open Access | Times Cited: 2
Role of radiomics in staging liver fibrosis: a meta-analysis
Xiaomin Wang, Xiaojing Zhang
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
A review of deep learning approaches for multimodal image segmentation of liver cancer
Chaopeng Wu, Qiyao Chen, Haoyu Wang, et al.
Journal of Applied Clinical Medical Physics (2024)
Open Access | Times Cited: 2
Contrast-enhanced thin-slice abdominal CT with super-resolution deep learning reconstruction technique: evaluation of image quality and visibility of anatomical structures
Atsushi Nakamoto, Hiromitsu Onishi, Takashi Ota, et al.
Japanese Journal of Radiology (2024)
Open Access | Times Cited: 2
A Review on the Use of Imaging Biomarkers in Oncology Clinical Trials: Quality Assurance Strategies for Technical Validation
Stéphane Chauvie, L.N. Mazzoni, Jim O’Doherty
Tomography (2023) Vol. 9, Iss. 5, pp. 1876-1902
Open Access | Times Cited: 6
Radiomics and 256-slice-dual-energy CT in the automated diagnosis of mild acute pancreatitis: the innovation of formal methods and high-resolution CT
Aldo Rocca, Maria Chiara Brunese, Antonella Santone, et al.
La radiologia medica (2024)
Open Access | Times Cited: 1
The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI
Tomoyuki Fujioka, Shohei Fujita, Daiju Ueda, et al.
Magnetic Resonance in Medical Sciences (2024)
Open Access | Times Cited: 1
Evaluation of high temporal resolution magnetic resonance imaging of the liver with gadoxetate disodium in combination with compressed sensing and parallel imaging under single breath-holding using a 1.5-T magnetic resonance system
Fumiaki Fukamatsu, Akira Yamada, Ayumi Sakai, et al.
The Egyptian Journal of Radiology and Nuclear Medicine (2024) Vol. 55, Iss. 1
Open Access
Future Perspectives on Radiomics in Acute Liver Injury and Liver Trauma
Maria Chiara Brunese, Pasquale Avella, Micaela Cappuccio, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 6, pp. 572-572
Open Access
Microwave ablation followed by cTACE in 5-cm HCC lesions: does a single-session approach affect liver function?
Chiara Floridi, Laura Maria Cacioppa, Nicolò Rossini, et al.
La radiologia medica (2024) Vol. 129, Iss. 8, pp. 1252-1264
Open Access
<i>CYB5D2</i> inhibits the malignant progression of hepatocellular carcinoma by inhibiting <i>TGF-β</i> expression and epithelialmesenchymal transition
Dong Jiang, 智 岡崎, Zhiying Xu, et al.
Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (2024) Vol. 33, Iss. 3, pp. 709-722
Closed Access
Percutaneous microwave ablation of HCC: comparison between 100 and 150 W technology systems
Carolina Lanza, Salvatore Alessio Angileri, Pierpaolo Biondetti, et al.
La radiologia medica (2024)
Closed Access
Dynamic changes of radiological and radiomics patterns based on MRI in viable hepatocellular carcinoma after transarterial chemoembolization
Weilang Wang, Shuhang Zhang, Bin‐Yan Zhong, et al.
Abdominal Radiology (2024)
Closed Access
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