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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:

Image enhancement of whole-body oncology [18F]-FDG PET scans using deep neural networks to reduce noise
Abolfazl Mehranian, Scott D. Wollenweber, Matthew Walker, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 49, Iss. 2, pp. 539-549
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine
Sudipta Roy, Tanushree Meena, Se‐Jung Lim
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2549-2549
Open Access | Times Cited: 108
An Improved YOLOv5-Based Underwater Object-Detection Framework
Jian Zhang, Jinshuai Zhang, Kexin Zhou, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3693-3693
Open Access | Times Cited: 53
Deep learning-based PET image denoising and reconstruction: a review
Fumio Hashimoto, Yuya Onishi, Kibo Ote, et al.
Radiological Physics and Technology (2024) Vol. 17, Iss. 1, pp. 24-46
Open Access | Times Cited: 26
Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
Cameron Dennis Pain, Gary F. Egan, Zhaolin Chen
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 9, pp. 3098-3118
Open Access | Times Cited: 59
[18F]FDG-PET/CT Radiomics and Artificial Intelligence in Lung Cancer: Technical Aspects and Potential Clinical Applications
Reyhaneh Manafi‐Farid, Emran Askari, Isaac Shiri, et al.
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 6, pp. 759-780
Open Access | Times Cited: 54
PET image denoising based on denoising diffusion probabilistic model
Kuang Gong, Keith A. Johnson, Georges El Fakhri, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 51, Iss. 2, pp. 358-368
Closed Access | Times Cited: 41
Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers
Abolfazl Mehranian, Scott D. Wollenweber, Kevin M. Bradley, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access | Times Cited: 1
New PET technologies – embracing progress and pushing the limits
Nicolas Aide, Charline Lasnon, Adam L. Kesner, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 9, pp. 2711-2726
Open Access | Times Cited: 53
Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT
Kathleen Weyts, Charline Lasnon, Renaud Ciappuccini, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 11, pp. 3750-3760
Open Access | Times Cited: 35
Deep learning–based time-of-flight (ToF) image enhancement of non-ToF PET scans
Abolfazl Mehranian, Scott D. Wollenweber, Matthew Walker, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 11, pp. 3740-3749
Open Access | Times Cited: 32
Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges
Muhammad Waqar Azeem, Shumaila Javaid, Ruhul Amin Khalil, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 850-850
Open Access | Times Cited: 20
Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space
Maryam Fallahpoor, Subrata Chakraborty, Biswajeet Pradhan, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107880-107880
Closed Access | Times Cited: 18
Deep learning-assisted PET imaging achieves fast scan/low-dose examination
Yan Xing, Wenli Qiao, Taisong Wang, et al.
EJNMMI Physics (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 25
Advances in PET/CT Technology: An Update
Nicolas Aide, Charline Lasnon, Cédric Desmonts, et al.
Seminars in Nuclear Medicine (2021) Vol. 52, Iss. 3, pp. 286-301
Open Access | Times Cited: 32
An artificial intelligence-driven image quality assessment system for whole-body [18F]FDG PET/CT
Chi Qi, Shuo Wang, Haojun Yu, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 50, Iss. 5, pp. 1318-1328
Closed Access | Times Cited: 20
Phantom study and clinical application of total-body 18F-FDG PET/CT imaging: How to use small voxel imaging better?
Chi Qi, Xiuli Sui, Haojun Yu, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 4
Role of emerging theranostic technologies in precision oncology: revolutionizing cancer diagnosis and treatment
Biruk Demisse Ayalew, Abdullah, Saim Mahmood Khan, et al.
ONCOLOGIE (2025)
Closed Access
Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation
Lara Bonney, Gijsbert M. Kalisvaart, Floris H. P. van Velden, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Effects of a deep learning-based image quality enhancement method on a digital-BGO PET/CT system for 18F-FDG whole-body examination
Kenta Miwa, Shin Yamagishi, Shun Kamitaki, et al.
EJNMMI Physics (2025) Vol. 12, Iss. 1
Open Access
Deep progressive learning achieves whole-body low-dose 18F-FDG PET imaging
Taisong Wang, Wenli Qiao, Ying Wang, et al.
EJNMMI Physics (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 16
Investigation of PET image quality with acquisition time/bed and enhancement of lesion quantification accuracy through deep progressive learning
杨阳 YANG Yang, Shihao Chen, Ming Qi, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Data-driven gating (DDG)-based motion match for improved CTAC registration
Ella L. Cook, Kuan‐Hao Su, Geoff S. Higgins, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans
Mehdi Amini, Yazdan Salimi, Ghasem Hajianfar, et al.
Clinical Nuclear Medicine (2024) Vol. 49, Iss. 12, pp. 1079-1090
Open Access | Times Cited: 3
Underwater Target Detection Based on Parallel High-Resolution Networks
Zhengwei Bao, Ying Guo, Ji‐Yu Wang, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7337-7337
Open Access | Times Cited: 7
Sequential deep learning image enhancement models improve diagnostic confidence, lesion detectability, and image reconstruction time in PET
Meghi Dedja, Abolfazl Mehranian, Kevin M. Bradley, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
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