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:

MRXCAT2.0: Synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation
Stefano Buoso, T. A. Joyce, Nico Schulthess, et al.
Journal of Cardiovascular Magnetic Resonance (2023) Vol. 25, Iss. 1, pp. 25-25
Open Access | Times Cited: 6

Showing 6 citing articles:

Automatic analysis of 3D cardiac tagged magnetic resonance images using neural networks trained on synthetic data
Stefano Buoso, Christian T. Stoeck, Sebastian Kozerke
Journal of Cardiovascular Magnetic Resonance (2025), pp. 101869-101869
Open Access

DENSE-SIM: A modular pipeline for the evaluation of cine DENSE images with sub-voxel ground-truth strain
Hugo Barbaroux, Michael Loecher, Yannick Brackenier, et al.
Journal of Cardiovascular Magnetic Resonance (2025), pp. 101866-101866
Open Access

Recent Advances in Dental Panoramic X-Ray Synthesis and Its Clinical Applications
P S Anusree, Bikram Keshari Parida, Wonsang You
IEEE Access (2024) Vol. 12, pp. 141032-141051
Open Access | Times Cited: 1

Field camera input to virtual phantom (ViP) scanner acquisitions for quality assurance of derived MRI quantities: first implementation and proof-of-principle
Peter Gatehouse, Gabriella Captur, Sònia Nielles‐Vallespin, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2023) Vol. 37, Iss. 2, pp. 199-213
Closed Access | Times Cited: 1

AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning
Christian Weihsbach, Nora Vogt, Ziad Al-Haj Hemidi, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2296-2296
Open Access

Synthesizing Scalable CFD-Enhanced Aortic 4D Flow MRI for Assessing Accuracy and Precision of Deep-Learning Image Reconstruction and Segmentation Tasks
Pietro Dirix, Luuk Jacobs, Stefano Buoso, et al.
Lecture notes in computer science (2024), pp. 157-166
Closed Access

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