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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:

Novel radiomics features from CCTA images for the functional evaluation of significant ischaemic lesions based on the coronary fractional flow reserve score
Wenchao Hu, Xiangjun Wu, Di Dong, et al.
The International Journal of Cardiovascular Imaging (2020) Vol. 36, Iss. 10, pp. 2039-2050
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective
Bettina Baeßler, Michael Götz, Charalambos Antoniades, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 27
Radiogenomics and Artificial Intelligence Approaches Applied to Cardiac Computed Tomography Angiography and Cardiac Magnetic Resonance for Precision Medicine in Coronary Heart Disease: A Systematic Review
Teresa Infante, Carlo Cavaliere, Bruna Punzo, et al.
Circulation Cardiovascular Imaging (2021) Vol. 14, Iss. 12, pp. 1133-1146
Open Access | Times Cited: 33
A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography
Francesca Lo Iacono, Riccardo Maragna, Gianluca Pontone, et al.
Frontiers in Radiology (2023) Vol. 3
Open Access | Times Cited: 12
Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment
Giulia Cundari, Livia Marchitelli, Giacomo Pambianchi, et al.
La radiologia medica (2024) Vol. 129, Iss. 3, pp. 380-400
Open Access | Times Cited: 4
Enhancing cardiovascular risk stratification: Radiomics of coronary plaque and perivascular adipose tissue – Current insights and future perspectives
Anna Corti, Francesca Lo Iacono, Francesca Ronchetti, et al.
Trends in Cardiovascular Medicine (2024)
Open Access | Times Cited: 4
Risk prediction for elderly cognitive impairment by radiomic and morphological quantification analysis based on a cerebral MRA imaging cohort
Xian Xu, Yanfeng Zhou, Shasha Sun, et al.
European Radiology (2025)
Closed Access
Machine Learning-Based Analysis of Coronary Ct Angiography Radiomic Features Improves the Identification of Functionally Significant Lesions
G Kalykakis, Nikolaos Anousakis‐Vlachochristou, Riccardo Liga, et al.
(2025)
Closed Access
Beyond plaque segmentation: a combined radiomics-deep learning approach for automated CAD-RADS classification
Francesca Lo Iacono, Francesca Ronchetti, Anna Corti, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Radiomics in Cardiovascular Disease Imaging: from Pixels to the Heart of the Problem
Gaia Spadarella, Teresa Perillo, Lorenzo Ugga, et al.
Current Cardiovascular Imaging Reports (2022) Vol. 15, Iss. 2, pp. 11-21
Open Access | Times Cited: 18
A Novel Data Augmentation Method for Radiomics Analysis Using Image Perturbations
Francesca Lo Iacono, Riccardo Maragna, Gianluca Pontone, et al.
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2401-2414
Open Access | Times Cited: 3
Cardiac computed tomography radiomics: a narrative review of current status and future directions
Jin Shang, Yan Guo, Yue Ma, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 6, pp. 3436-3453
Open Access | Times Cited: 14
Radiomic features of plaques derived from coronary CT angiography to identify hemodynamically significant coronary stenosis, using invasive FFR as the reference standard
Lin Li, Xi Hu, Xinwei Tao, et al.
European Journal of Radiology (2021) Vol. 140, pp. 109769-109769
Closed Access | Times Cited: 20
CT texture analysis of vulnerable plaques on optical coherence tomography
Qian Chen, Tao Pan, Xindao Yin, et al.
European Journal of Radiology (2021) Vol. 136, pp. 109551-109551
Closed Access | Times Cited: 17
A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease
Arshpreet Singh Badesha, Russell Frood, Marc A. Bailey, et al.
Tomography (2024) Vol. 10, Iss. 9, pp. 1455-1487
Open Access | Times Cited: 2
Quality assessment of radiomics research in cardiac CT: a systematic review
Suji Lee, Kyunghwa Han, Young Joo Suh
European Radiology (2022) Vol. 32, Iss. 5, pp. 3458-3468
Closed Access | Times Cited: 10
Artificial Intelligence in Cardiology and Atherosclerosis in the Context of Precision Medicine: A Scoping Review
Oliwia Kolaszyńska, Jacek Lorkowski
Applied Bionics and Biomechanics (2024) Vol. 2024, pp. 1-17
Open Access | Times Cited: 1
Test-retest repeatability of myocardial radiomic features from quantitative cardiac magnetic resonance T1 and T2 mapping
Daniela Marfisi, Marco Giannelli, Chiara Marzi, et al.
Magnetic Resonance Imaging (2024) Vol. 113, pp. 110217-110217
Closed Access | Times Cited: 1
Coronary CT Angiography-Based Radiomics to Predict Vessel-Specific Ischemia by Stress Dynamic CT Myocardial Perfusion Imaging
Hui Li, Lan Zhang, Run-Ze Wang, et al.
Academic Radiology (2024)
Closed Access | Times Cited: 1
Texture analysis of delayed contrast-enhanced computed tomography to diagnose cardiac sarcoidosis
Satonori Tsuneta, Noriko Oyama‐Manabe, Kenji Hirata, et al.
Japanese Journal of Radiology (2021) Vol. 39, Iss. 5, pp. 442-450
Closed Access | Times Cited: 8
Exploring the diagnostic effectiveness for myocardial ischaemia based on CCTA myocardial texture features
Hengyu Zhao, Lijie Yuan, Zhishang Chen, et al.
BMC Cardiovascular Disorders (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 6
Functional Coronary Artery Assessment: a Systematic Literature Review
Samuel A. Freitas, Débora Nienow, Cristiano André da Costa, et al.
Wiener klinische Wochenschrift (2021) Vol. 134, Iss. 7-8, pp. 302-318
Closed Access | Times Cited: 5
Assessing Left Ventricle Radiomic Features Robustness by Segmentation Perturbations
Francesca Lo Iacono, Gianluca Pontone, Valentina Corino
IFMBE proceedings (2024), pp. 356-362
Closed Access
The incremental value of CCTA-derived myocardial radiomics signature for ischemia diagnosis with reference to CT myocardial perfusion imaging
Mengmeng Zhu, Xiaomei Zhu, Shu-shen Lin, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1148
Open Access | Times Cited: 1
Precision diagnosis based on radiomics
Jie Tian, Di Dong, Zhenyu Liu, et al.
Elsevier eBooks (2021), pp. 99-174
Closed Access | Times Cited: 1
Prediction of myocardial ischemia in coronary heart disease patients using a CCTA–Based radiomic nomogram
Youchang Yang, Yang Dou, Zhiwei Wang, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access
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