Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Variability and Standardization of Quantitative Imaging
Akifumi Hagiwara, Shohei Fujita, Yoshiharu Ohno, et al.
Investigative Radiology (2020) Vol. 55, Iss. 9, pp. 601-616
Open Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Artificial intelligence and machine learning in cancer imaging
Dow‐Mu Koh, Nikolaos Papanikolaou, Ulrich Bick, et al.
Communications Medicine (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 176
Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients
Nathalie Lassau, Samy Ammari, Émilie Chouzenoux, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 157
Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
David Nam, Julius Chapiro, Valérie Paradis, et al.
JHEP Reports (2022) Vol. 4, Iss. 4, pp. 100443-100443
Open Access | Times Cited: 140
Applying artificial intelligence for cancer immunotherapy
Zhijie Xu, Xiang Wang, Shuangshuang Zeng, et al.
Acta Pharmaceutica Sinica B (2021) Vol. 11, Iss. 11, pp. 3393-3405
Open Access | Times Cited: 64
Plant Genotype to Phenotype Prediction Using Machine Learning
Monica F. Danilevicz, Mitchell Gill, Robyn Anderson, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 56
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Lubomir M. Hadjiiski, H. Kenny, Heang‐Ping Chan, et al.
Medical Physics (2022) Vol. 50, Iss. 2
Open Access | Times Cited: 54
Benchmarking Feature Selection Methods in Radiomics
Aydın Demircioğlu
Investigative Radiology (2022) Vol. 57, Iss. 7, pp. 433-443
Closed Access | Times Cited: 46
Harmonization Strategies in Multicenter MRI-Based Radiomics
Elisavet Stamoulou, Constantinos Spanakis, Georgios C. Manikis, et al.
Journal of Imaging (2022) Vol. 8, Iss. 11, pp. 303-303
Open Access | Times Cited: 38
Automatic cephalometric landmark identification with artificial intelligence: An umbrella review of systematic reviews
Alessandro Polizzi, Rosalia Leonardi
Journal of Dentistry (2024) Vol. 146, pp. 105056-105056
Closed Access | Times Cited: 9
Comparing deep learning and handcrafted radiomics to predict chemoradiotherapy response for locally advanced cervical cancer using pretreatment MRI
Sung-Moon Jeong, Hosang Yu, Shin-Hyung Park, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Stability of Radiomic Features across Different Region of Interest Sizes—A CT and MR Phantom Study
Laura J. Jensen, Damon Kim, Thomas Elgeti, et al.
Tomography (2021) Vol. 7, Iss. 2, pp. 238-252
Open Access | Times Cited: 43
Association between Chest CT–defined Emphysema and Lung Cancer: A Systematic Review and Meta-Analysis
Xiaofei Yang, Hendrik Joost Wisselink, Rozemarijn Vliegenthart, et al.
Radiology (2022) Vol. 304, Iss. 2, pp. 322-330
Open Access | Times Cited: 36
Influence of Image Processing on Radiomic Features From Magnetic Resonance Imaging
Barbara Wichtmann, F Harder, Kilian Weiss, et al.
Investigative Radiology (2022)
Closed Access | Times Cited: 32
Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model
Xiaoling Ma, Liming Xia, Jun Chen, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 1949-1962
Closed Access | Times Cited: 32
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: 21
Age-Related Changes in Relaxation Times, Proton Density, Myelin, and Tissue Volumes in Adult Brain Analyzed by 2-Dimensional Quantitative Synthetic Magnetic Resonance Imaging
Akifumi Hagiwara, Kotaro Fujimoto, Koji Kamagata, et al.
Investigative Radiology (2020) Vol. 56, Iss. 3, pp. 163-172
Open Access | Times Cited: 48
Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain
Christopher R. Madan
Neuroinformatics (2021) Vol. 20, Iss. 1, pp. 109-137
Open Access | Times Cited: 38
Precision of MRI radiomics features in the liver and hepatocellular carcinoma
Guillermo Carbonell, Paul Kennedy, Octavia Bane, et al.
European Radiology (2021) Vol. 32, Iss. 3, pp. 2030-2040
Closed Access | Times Cited: 35
Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma
Catharina Silvia Lisson, Christoph Gerhard Lisson, Marc Fabian Mezger, et al.
Cancers (2022) Vol. 14, Iss. 8, pp. 2008-2008
Open Access | Times Cited: 22
Collaborative evaluation for performance assessment of medical imaging applications
Hasan Kassem, Akshita Singh, Alejandro Aristizabal, et al.
Elsevier eBooks (2025), pp. 205-222
Closed Access
Longitudinal Analysis of Amyloid PET and Brain MRI for Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: Findings from the ADNI Cohort
Do-Hoon Kim
Tomography (2025) Vol. 11, Iss. 3, pp. 37-37
Open Access
Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development
Daniel Navarro-Garcia, Alberto Villanueva Marcos, Regina G. H. Beets‐Tan, et al.
ESMO Real World Data and Digital Oncology (2025) Vol. 8, pp. 100120-100120
Closed Access
Age-related changes of human brain metabolism
Shufang Qian, Yi Ba, Le Xue, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access
Comparative diagnostic performance of [68 Ga]Ga-FAPI PET/CT and [18 F]FDGPET/CT in biliary tract cancers: a systematic review and meta-analysis
Ahmed Msherghi, Mohannad Abuajamieh, Moad Ekreer, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access
Repeatability and Reproducibility of Computed Tomography Radiomics for Pulmonary Nodules
Xueqing Peng, Shuyi Yang, Lingxiao Zhou, et al.
Investigative Radiology (2021) Vol. 57, Iss. 4, pp. 242-253
Open Access | Times Cited: 30
Page 1 - Next Page

Scroll to top