
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:
Deep learning radiomics for focal liver lesions diagnosis on long-range contrast-enhanced ultrasound and clinical factors
Li Liu, Chunlin Tang, Lu Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 6, pp. 3213-3226
Open Access | Times Cited: 12
Li Liu, Chunlin Tang, Lu Li, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 6, pp. 3213-3226
Open Access | Times Cited: 12
Showing 12 citing articles:
Artificial intelligence in hepatocellular carcinoma diagnosis: a comprehensive review of current literature
Odysseas P. Chatzipanagiotou, Constantinos Loukas, Michail Vailas, et al.
Journal of Gastroenterology and Hepatology (2024) Vol. 39, Iss. 10, pp. 1994-2005
Open Access | Times Cited: 6
Odysseas P. Chatzipanagiotou, Constantinos Loukas, Michail Vailas, et al.
Journal of Gastroenterology and Hepatology (2024) Vol. 39, Iss. 10, pp. 1994-2005
Open Access | Times Cited: 6
Radiomics in Liver Research: A Paradigm Shift in Disease Detection and Staging
Le Huu Nhat Minh, Hien Quang Kha, Nghia Minh Tran, et al.
(2025), pp. 100016-100016
Open Access
Le Huu Nhat Minh, Hien Quang Kha, Nghia Minh Tran, et al.
(2025), pp. 100016-100016
Open Access
Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultrasound Videos
Yuming Shao, Yingnan Dang, Yuejuan Cheng, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2183-2183
Open Access | Times Cited: 10
Yuming Shao, Yingnan Dang, Yuejuan Cheng, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2183-2183
Open Access | Times Cited: 10
Artificial intelligence techniques in liver cancer
Lulu Wang, Mostafa Fatemi, Azra Alizad
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Lulu Wang, Mostafa Fatemi, Azra Alizad
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
Development and validation of a fully automated system using deep learning for opportunistic osteoporosis screening using low-dose computed tomography scans
Xinyi Niu, Yilin Huang, Xinyu Li, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 8, pp. 5294-5305
Open Access | Times Cited: 8
Xinyi Niu, Yilin Huang, Xinyu Li, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 8, pp. 5294-5305
Open Access | Times Cited: 8
Diagnostic Performance of an Artificial Intelligence Model Based on Contrast-Enhanced Ultrasound in Patients with Liver Lesions: A Comparative Study with Clinicians
Cristiana Marinela Urhuț, Larisa Săndulescu, Costin Teodor Streba, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3387-3387
Open Access | Times Cited: 7
Cristiana Marinela Urhuț, Larisa Săndulescu, Costin Teodor Streba, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3387-3387
Open Access | Times Cited: 7
LI-RADS LR-5 on contrast-enhanced ultrasonography has satisfactory diagnostic specificity for hepatocellular carcinoma: a systematic review and meta-analysis
Hongyu Jin, Yunshi Cai, Man Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 2, pp. 957-969
Open Access | Times Cited: 6
Hongyu Jin, Yunshi Cai, Man Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 2, pp. 957-969
Open Access | Times Cited: 6
Deep learning radiomics for prediction of axillary lymph node metastasis in patients with clinical stage T1–2 breast cancer
Wei Wei, Qiang Ma, Huijun Feng, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 8, pp. 4995-5011
Open Access | Times Cited: 5
Wei Wei, Qiang Ma, Huijun Feng, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 8, pp. 4995-5011
Open Access | Times Cited: 5
Artificial intelligence for contrast-enhanced ultrasound of the liver: a systematic review
James Brooks, Michael Kallenbach, Iuliana-Pompilia Radu, et al.
Digestion (2024), pp. 1-18
Open Access | Times Cited: 1
James Brooks, Michael Kallenbach, Iuliana-Pompilia Radu, et al.
Digestion (2024), pp. 1-18
Open Access | Times Cited: 1
Advancements in Artificial Intelligence-Enhanced Imaging Diagnostics for the Management of Liver Disease—Applications and Challenges in Personalized Care
Naoshi Nishida
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1243-1243
Open Access | Times Cited: 1
Naoshi Nishida
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1243-1243
Open Access | Times Cited: 1
Deep Learning Based Hybrid Classifier for Analyzing Hepatitis C in Ultrasound Images
Hussein Al-ogaili
Wasit Journal of Computer and Mathematics Science (2022) Vol. 1, Iss. 4, pp. 1-9
Open Access | Times Cited: 2
Hussein Al-ogaili
Wasit Journal of Computer and Mathematics Science (2022) Vol. 1, Iss. 4, pp. 1-9
Open Access | Times Cited: 2