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:
State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma
Anna Castaldo, Davide Raffaele De Lucia, Giuseppe Pontillo, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1194-1194
Open Access | Times Cited: 21
Anna Castaldo, Davide Raffaele De Lucia, Giuseppe Pontillo, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1194-1194
Open Access | Times Cited: 21
Showing 21 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
Zhiyuan Bo, Jiatao Song, Qikuan He, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108337-108337
Open Access | Times Cited: 16
Current Imaging Diagnosis of Hepatocellular Carcinoma
Evangelos Chartampilas, Vasileios Rafailidis, Vivian Georgopoulou, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 3997-3997
Open Access | Times Cited: 49
Evangelos Chartampilas, Vasileios Rafailidis, Vivian Georgopoulou, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 3997-3997
Open Access | Times Cited: 49
Application of CT-based radiomics combined with laboratory tests such as AFP and PIVKA-II in preoperative prediction of pathologic grade of hepatocellular carcinoma
Meng–Huang Wu, Haijia Yu, Shiyu Pang, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Meng–Huang Wu, Haijia Yu, Shiyu Pang, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review
Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, et al.
Gastroenterology Review (2024) Vol. 19, Iss. 3, pp. 221-230
Open Access | Times Cited: 4
Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, et al.
Gastroenterology Review (2024) Vol. 19, Iss. 3, pp. 221-230
Open Access | Times Cited: 4
Imaging diagnosis of hepatocellular carcinoma: Future directions with special emphasis on hepatobiliary magnetic resonance imaging and contrast-enhanced ultrasound
Junghoan Park, Jeong Min Lee, Tae-Hyung Kim, et al.
Clinical and Molecular Hepatology (2021) Vol. 28, Iss. 3, pp. 362-379
Open Access | Times Cited: 25
Junghoan Park, Jeong Min Lee, Tae-Hyung Kim, et al.
Clinical and Molecular Hepatology (2021) Vol. 28, Iss. 3, pp. 362-379
Open Access | Times Cited: 25
MRI-Based Radiomic Features Help Identify Lesions and Predict Histopathological Grade of Hepatocellular Carcinoma
Valentina Brancato, Nunzia Garbino, Marco Salvatore, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1085-1085
Open Access | Times Cited: 18
Valentina Brancato, Nunzia Garbino, Marco Salvatore, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1085-1085
Open Access | Times Cited: 18
Machine Learning-Based CEMRI Radiomics Integrating LI-RADS Features Achieves Optimal Evaluation of Hepatocellular Carcinoma Differentiation
Haifeng Liu, Yang Lu, Qing Wang, et al.
Journal of Hepatocellular Carcinoma (2023) Vol. Volume 10, pp. 2103-2115
Open Access | Times Cited: 9
Haifeng Liu, Yang Lu, Qing Wang, et al.
Journal of Hepatocellular Carcinoma (2023) Vol. Volume 10, pp. 2103-2115
Open Access | Times Cited: 9
Benign focal liver lesions: The role of magnetic resonance imaging
Marco Gatti, Cesare Maino, Davide Tore, et al.
World Journal of Hepatology (2022) Vol. 14, Iss. 5, pp. 923-943
Open Access | Times Cited: 14
Marco Gatti, Cesare Maino, Davide Tore, et al.
World Journal of Hepatology (2022) Vol. 14, Iss. 5, pp. 923-943
Open Access | Times Cited: 14
The impact of radiomics for human papillomavirus status prediction in oropharyngeal cancer: systematic review and radiomics quality score assessment
Gaia Spadarella, Lorenzo Ugga, Giuseppina Calareso, et al.
Neuroradiology (2022) Vol. 64, Iss. 8, pp. 1639-1647
Open Access | Times Cited: 10
Gaia Spadarella, Lorenzo Ugga, Giuseppina Calareso, et al.
Neuroradiology (2022) Vol. 64, Iss. 8, pp. 1639-1647
Open Access | Times Cited: 10
Role of gadoxetic acid-enhanced liver magnetic resonance imaging in the evaluation of hepatocellular carcinoma after locoregional treatment
Marco Gatti, Cesare Maino, Fatemeh Darvizeh, et al.
World Journal of Gastroenterology (2022) Vol. 28, Iss. 26, pp. 3116-3131
Open Access | Times Cited: 8
Marco Gatti, Cesare Maino, Fatemeh Darvizeh, et al.
World Journal of Gastroenterology (2022) Vol. 28, Iss. 26, pp. 3116-3131
Open Access | Times Cited: 8
Dictionary learning LASSO for feature selection with application to hepatocellular carcinoma grading using contrast enhanced magnetic resonance imaging
Lei Lei, Lixin Du, Yinglong He, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
Lei Lei, Lixin Du, Yinglong He, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
Imaging at the nexus: how state of the art imaging techniques can enhance our understanding of cancer and fibrosis
Alireza Baniasadi Dahooiyeh, Jeeban P. Das, Conor M. Prendergast, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 1
Alireza Baniasadi Dahooiyeh, Jeeban P. Das, Conor M. Prendergast, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 1
CT radiomics-based biomarkers can predict response to immunotherapy in hepatocellular carcinoma
Liang Qi, Yahui Zhu, Jinxin Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Liang Qi, Yahui Zhu, Jinxin Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Contrast phase recognition in liver computer tomography using deep learning
Bruno Aragão Rocha, Lorena Carneiro Ferreira, Luis Gustavo Rocha Vianna, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Bruno Aragão Rocha, Lorena Carneiro Ferreira, Luis Gustavo Rocha Vianna, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 6
Implications of ultrasound-based deep learning model for preoperatively differentiating combined hepatocellular-cholangiocarcinoma from hepatocellular carcinoma and intrahepatic cholangiocarcinoma
Jianan Chen, Weibin Zhang, Jingwen Bao, et al.
Abdominal Radiology (2023) Vol. 49, Iss. 1, pp. 93-102
Closed Access | Times Cited: 2
Jianan Chen, Weibin Zhang, Jingwen Bao, et al.
Abdominal Radiology (2023) Vol. 49, Iss. 1, pp. 93-102
Closed Access | Times Cited: 2
Preoperative CT-based radiomics combined with AFP, PIVKA-II and other laboratory tests can be used to predict the pathological grade of hepatocellular carcinoma
Meng–Huang Wu, Haijia Yu, Shiyu Pang, et al.
Research Square (Research Square) (2024)
Closed Access
Meng–Huang Wu, Haijia Yu, Shiyu Pang, et al.
Research Square (Research Square) (2024)
Closed Access
Imaging of Hepatobiliary Cancer
Benjamin W. Carney, M.C. Larson, Michael T. Corwin, et al.
Current Problems in Cancer (2023) Vol. 47, Iss. 2, pp. 100964-100964
Closed Access | Times Cited: 1
Benjamin W. Carney, M.C. Larson, Michael T. Corwin, et al.
Current Problems in Cancer (2023) Vol. 47, Iss. 2, pp. 100964-100964
Closed Access | Times Cited: 1
Current state of radiomics in hepatobiliary and pancreatic malignancies
Mahip Grewal, Taha M. Ahmed, Ammar A. Javed
Artificial Intelligence Surgery (2023) Vol. 3, Iss. 4, pp. 217-32
Open Access | Times Cited: 1
Mahip Grewal, Taha M. Ahmed, Ammar A. Javed
Artificial Intelligence Surgery (2023) Vol. 3, Iss. 4, pp. 217-32
Open Access | Times Cited: 1
Artificial intelligence and its role in guiding liver-directed therapy for hepatocellular carcinoma: Is it ready for prime time?
Elena Panettieri, Andrea Campisi, Valentina Bianchi, et al.
Hepatoma Research (2022) Vol. 8, pp. 41-41
Open Access | Times Cited: 1
Elena Panettieri, Andrea Campisi, Valentina Bianchi, et al.
Hepatoma Research (2022) Vol. 8, pp. 41-41
Open Access | Times Cited: 1
The roadmap to the adoption of computational intelligence in cancer diagnosis: The clinical-radiological perspective
Federica Vernuccio, Roberto Cannella, Roberto Lagalla, et al.
Elsevier eBooks (2023), pp. 3-11
Closed Access
Federica Vernuccio, Roberto Cannella, Roberto Lagalla, et al.
Elsevier eBooks (2023), pp. 3-11
Closed Access
Computer-Aided Diagnosis for Liver Tumor Feature Extraction
B. Shilpa, T. Y. Satheesha
(2023), pp. 1-5
Closed Access
B. Shilpa, T. Y. Satheesha
(2023), pp. 1-5
Closed Access
