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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:

Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction
Kieren G. Hollingsworth
Physics in Medicine and Biology (2015) Vol. 60, Iss. 21, pp. R297-R322
Open Access | Times Cited: 227

Showing 1-25 of 227 citing articles:

Learning a variational network for reconstruction of accelerated MRI data
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, et al.
Magnetic Resonance in Medicine (2017) Vol. 79, Iss. 6, pp. 3055-3071
Open Access | Times Cited: 1469
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
Guang Yang, Simiao Yu, Hao Dong, et al.
IEEE Transactions on Medical Imaging (2017) Vol. 37, Iss. 6, pp. 1310-1321
Open Access | Times Cited: 991
AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis
Yutong Chen, Carola‐Bibiane Schönlieb, Píetro Lió, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 2, pp. 224-245
Open Access | Times Cited: 80
Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
Matteo Maspero, M.H.F. Savenije, Anna M. Dinkla, et al.
Physics in Medicine and Biology (2018) Vol. 63, Iss. 18, pp. 185001-185001
Open Access | Times Cited: 161
Vision 20/20: Magnetic resonance imaging‐guided attenuation correction in PET/MRI: Challenges, solutions, and opportunities
Abolfazl Mehranian, Hossein Arabi, Habib Zaidi
Medical Physics (2016) Vol. 43, Iss. 3, pp. 1130-1155
Open Access | Times Cited: 142
Noncontrast MR angiography: An update
Robert R. Edelman, Ioannis Koktzoglou
Journal of Magnetic Resonance Imaging (2018) Vol. 49, Iss. 2, pp. 355-373
Open Access | Times Cited: 105
Compressed Sensing–Sensitivity Encoding (CS-SENSE) Accelerated Brain Imaging: Reduced Scan Time without Reduced Image Quality
Justin E. Vranic, Nathan Cross, Y. Wang, et al.
American Journal of Neuroradiology (2018) Vol. 40, Iss. 1, pp. 92-98
Open Access | Times Cited: 100
Sparse Reconstruction Techniques in Magnetic Resonance Imaging
Alice C. Yang, Madison Kretzler, Sonja Sudarski, et al.
Investigative Radiology (2016) Vol. 51, Iss. 6, pp. 349-364
Open Access | Times Cited: 99
Improving resolution of MR images with an adversarial network incorporating images with different contrast
Ki Hwan Kim, Won‐Joon Do, Sung‐Hong Park
Medical Physics (2018) Vol. 45, Iss. 7, pp. 3120-3131
Closed Access | Times Cited: 94
Deep learning for accelerated and robust MRI reconstruction
Reinhard Heckel, Mathews Jacob, Akshay Chaudhari, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2024) Vol. 37, Iss. 3, pp. 335-368
Open Access | Times Cited: 15
Five-minute knee MRI: An AI-based super resolution reconstruction approach for compressed sensing. A validation study on healthy volunteers
Robert Terzis, Thomas Dratsch, Robert Hahnfeldt, et al.
European Journal of Radiology (2024) Vol. 175, pp. 111418-111418
Open Access | Times Cited: 14
Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities
Dongsong Zhang, Changjian Wang, Tianhua Chen, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102788-102788
Closed Access | Times Cited: 11
Clinical Feasibility of 3-Dimensional Magnetic Resonance Cholangiopancreatography Using Compressed Sensing
Jeong Hee Yoon, Sang Min Lee, Hyo‐Jin Kang, et al.
Investigative Radiology (2017) Vol. 52, Iss. 10, pp. 612-619
Closed Access | Times Cited: 77
Neurite orientation dispersion and density imaging of mouse brain microstructure
Nian Wang, Jieying Zhang, Gary P. Cofer, et al.
Brain Structure and Function (2019) Vol. 224, Iss. 5, pp. 1797-1813
Open Access | Times Cited: 68
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
Yiling Liu, Qiegen Liu, Minghui Zhang, et al.
IEEE Transactions on Computational Imaging (2019) Vol. 6, pp. 434-446
Open Access | Times Cited: 65
Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease – A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI
Gustav J. Strijkers, Ericky Caldas de Almeida Araújo, Noura Azzabou, et al.
Journal of Neuromuscular Diseases (2019) Vol. 6, Iss. 1, pp. 1-30
Open Access | Times Cited: 64
Biomarkers of Duchenne muscular dystrophy: current findings
Cristina Al‐Khalili Szigyarto, Pietro Spitali
Degenerative Neurological and Neuromuscular Disease (2018) Vol. Volume 8, pp. 1-13
Open Access | Times Cited: 63
Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers
Akshay Chaudhari, Kathryn J. Stevens, Jeff Wood, et al.
Journal of Magnetic Resonance Imaging (2019) Vol. 51, Iss. 3, pp. 768-779
Open Access | Times Cited: 60
New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions
Jean‐Christophe Brisset, Stéphane Kremer, Salem Hannoun, et al.
Journal of Neuroradiology (2020) Vol. 47, Iss. 4, pp. 250-258
Open Access | Times Cited: 60
Fast T2‐Weighted Imaging With Deep Learning‐Based Reconstruction: Evaluation of Image Quality and Diagnostic Performance in Patients Undergoing Radical Prostatectomy
Jae Chun Park, Kye Jin Park, Mi Yeon Park, et al.
Journal of Magnetic Resonance Imaging (2021) Vol. 55, Iss. 6, pp. 1735-1744
Closed Access | Times Cited: 44
QSM Throughout the Body
Alexey Dimov, Jiahao Li, Thanh D. Nguyen, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 57, Iss. 6, pp. 1621-1640
Closed Access | Times Cited: 17
Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
Jo Schlemper, Guang Yang, Pedro Ferreira, et al.
Lecture notes in computer science (2018), pp. 295-303
Closed Access | Times Cited: 59
SIRF: Synergistic Image Reconstruction Framework
Evgueni Ovtchinnikov, Richard Brown, Christoph Kolbitsch, et al.
Computer Physics Communications (2019) Vol. 249, pp. 107087-107087
Open Access | Times Cited: 52
Advances in PET/MR instrumentation and image reconstruction
Jorge Cabello, Sibylle Ziegler
British Journal of Radiology (2016) Vol. 91, Iss. 1081
Open Access | Times Cited: 51
A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers
Andra-Iza Iuga, Philip Rauen, Florian Siedek, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1146
Open Access | Times Cited: 15
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