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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:

MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images
Woojin Jung, Hyunsoo Lee, Minkook Seo, et al.
European Radiology (2022) Vol. 33, Iss. 4, pp. 2686-2698
Closed Access | Times Cited: 16

Showing 16 citing articles:

Novel Techniques in Imaging Congenital Heart Disease
Ritu Sachdeva, Aimee K. Armstrong, Rima Arnaout, et al.
Journal of the American College of Cardiology (2024) Vol. 83, Iss. 1, pp. 63-81
Open Access | Times Cited: 13
A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2024) Vol. 8, Iss. 4, pp. 333-347
Open Access | Times Cited: 9
Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning
Shanshan Wang, Ruoyou Wu, Sen Jia, et al.
Magnetic Resonance in Medicine (2024) Vol. 92, Iss. 2, pp. 496-518
Open Access | Times Cited: 8
Deep Learning-based Image Enhancement Techniques for Fast MRI in Neuroimaging
Roh‐Eul Yoo, Seung Hong Choi
Magnetic Resonance in Medical Sciences (2024) Vol. 23, Iss. 3, pp. 341-351
Open Access | Times Cited: 7
Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy
Pae Sun Suh, Ji Eun Park, Yun Hwa Roh, et al.
Korean Journal of Radiology (2024) Vol. 25, Iss. 4, pp. 374-374
Open Access | Times Cited: 5
Unsupervised denoising of photoacoustic images based on the Noise2Noise network
Yanda Cheng, Wenhan Zheng, Robert W. Bing, et al.
Biomedical Optics Express (2024) Vol. 15, Iss. 8, pp. 4390-4390
Open Access | Times Cited: 4
Accelerated intracranial time-of-flight MR angiography with image-based deep learning image enhancement reduces scan times and improves image quality at 3-T and 1.5-T
Young Hun Jeon, Chanrim Park, Kyung Hoon Lee, et al.
Neuroradiology (2025)
Open Access
A prior embedding-driven architecture for long distance blind iris recognition
Qi Xiong, Xinman Zhang, Jun Shen
Biomedical Signal Processing and Control (2025) Vol. 109, pp. 108048-108048
Closed Access
Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques
Minkook Seo, Woojin Jung, Geunu Jeong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Deep Learning–Based Reconstruction of 3D T1 SPACE Vessel Wall Imaging Provides Improved Image Quality with Reduced Scan Times: A Preliminary Study
Girish Bathla, Steven A. Messina, David F. Black, et al.
American Journal of Neuroradiology (2024) Vol. 45, Iss. 11, pp. 1655-1660
Closed Access | Times Cited: 1
Proposal for standardization of laparoscopic D3 lymphadenectomy for right colon cancer
Álvaro García‐Granero, Alejandro Gil-Catalán, Sebastián Jerí‐McFarlane, et al.
Techniques in Coloproctology (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
Reliability of brain volume measures of accelerated 3D T1-weighted images with deep learning-based reconstruction
Woojin Jung, Geunu Jeong, Sohyun Kim, et al.
Neuroradiology (2024)
Open Access | Times Cited: 1
Comparison of image quality and lesion conspicuity between conventional and deep learning reconstruction in gadoxetic acid-enhanced liver MRI
Jeong Hee Yoon, Jeong Eun Lee, So Hyun Park, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A deep learning-based model (DeepMPM) to help predict survival in patients with malignant pleural mesothelioma
Wěi Li, Minghang Zhang, Siyu Cai, et al.
Translational Cancer Research (2023) Vol. 12, Iss. 10, pp. 2887-2897
Open Access | Times Cited: 3
Quantitative analysis of deep learning-based denoising model efficacy on optical coherence tomography images with different noise levels
Furkan Kırık, Farid İskandarov, K. Ertürk, et al.
Photodiagnosis and Photodynamic Therapy (2023) Vol. 45, pp. 103891-103891
Open Access | Times Cited: 1
Self-Supervised Image Denoising Methods: an Application in Fetal MRI
Ana Cláudia Souza Vidal de Negreiros, Gilson A. Giraldi, Heron Werner, et al.
(2023), pp. 137-141
Open Access | Times Cited: 1
Special Issue: Artificial Intelligence in Advanced Medical Imaging
Jia‐Qi Huang, Qingliang Jiao, Ming Liu
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1229-1229
Open Access
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