Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Applications of artificial intelligence in nuclear medicine image generation
Zhibiao Cheng, Junhai Wen, Gang Huang, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 11, Iss. 6, pp. 2792-2822
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics
Virginia Liberini, Riccardo Laudicella, Michele Balma, et al.
European Radiology Experimental (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 44
Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions
Xin Li, Lei Zhang, Jingsi Yang, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 231-243
Closed Access | Times Cited: 11
Verification of image quality improvement of low-count bone scintigraphy using deep learning
Taisuke Murata, Takuma Hashimoto, Masahisa Onoguchi, et al.
Radiological Physics and Technology (2024) Vol. 17, Iss. 1, pp. 269-279
Closed Access | Times Cited: 6
The potential role of artificial intelligence in sustainability of nuclear medicine
Geoffrey Currie, K. Elizabeth Hawk, Eric Rohren
Radiography (2024) Vol. 30, pp. 119-124
Open Access | Times Cited: 6
Revolutionizing Radiology With Artificial Intelligence
Abhiyan Bhandari
Cureus (2024)
Open Access | Times Cited: 5
A review of state-of-the-art resolution improvement techniques in SPECT imaging
Zhibiao Cheng, Ping Chen, Jianhua Yan
EJNMMI Physics (2025) Vol. 12, Iss. 1
Open Access
Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review
Ioannis D. Apostolopoulos, Νικόλαος Παπαθανασίου, D. Apostolopoulos, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 11, pp. 3717-3739
Closed Access | Times Cited: 22
Quantitation of dynamic total-body PET imaging: recent developments and future perspectives
Fengyun Gu, Qi Wu
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 50, Iss. 12, pp. 3538-3557
Open Access | Times Cited: 14
A novel medical image enhancement algorithm based on CLAHE and pelican optimization
Yasser Radouane Haddadi, Boualem Mansouri, Fatima Zohra Idriss Khodja
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks
Neda Zaker, Kamal Haddad, Reza Faghihi, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 12, pp. 4048-4063
Open Access | Times Cited: 16
Synthesis of magnetic resonance images from computed tomography data using convolutional neural network with contextual loss function
Zhaotong Li, Xinrui Huang, Zeru Zhang, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 6, pp. 3151-3169
Open Access | Times Cited: 13
Deep learning enhanced ultra-fast SPECT/CT bone scan in patients with suspected malignancy: quantitative assessment and clinical performance
Na Qi, Boyang Pan, Qingyuan Meng, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 13, pp. 135012-135012
Open Access | Times Cited: 7
Empowering PET: harnessing deep learning for improved clinical insight
Alessia Artesani, Alessandro Bruno, Fabrizia Gelardi, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Deep-Learning-Based Framework for PET Image Reconstruction from Sinogram Domain
Zhiyuan Liu, Huihui Ye, Huafeng Liu
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8118-8118
Open Access | Times Cited: 9
The Development and Impact of China's Digital Transformation in the Medical Industry
Poshan Yu, Wenye Xue, Ramya Mahendran
Advances in business strategy and competitive advantage book series (2022), pp. 97-128
Closed Access | Times Cited: 8
Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning
P. Hendrik Pretorius, Junchi Liu, Kesava Kalluri, et al.
Journal of Nuclear Cardiology (2023) Vol. 30, Iss. 6, pp. 2427-2437
Closed Access | Times Cited: 4
Future trends for patient-specific dosimetry methodology in molecular radiotherapy
Johan Gustafsson, J. Taprogge
Physica Medica (2023) Vol. 115, pp. 103165-103165
Open Access | Times Cited: 4
Activity quantification and dosimetry in radiopharmaceutical therapy with reference to 177Lutetium
Keamogetswe Ramonaheng, Milani Qebetu, Honest Ndlovu, et al.
Frontiers in Nuclear Medicine (2024) Vol. 4
Closed Access | Times Cited: 1
SPECT-MPI iterative denoising during the reconstruction process using a two-phase learned convolutional neural network
F. Yousefzadeh, Mehran Yazdi, Seyed Mohammad Entezarmahdi, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
A Product’s Kansei Appearance Design Method Based on Conditional-Controlled AI Image Generation
Yuanjian Du, Xiaoxue Liu, Mobing Cai, et al.
Sustainability (2024) Vol. 16, Iss. 20, pp. 8837-8837
Open Access | Times Cited: 1
Super-resolution reconstruction for parallel-beam SPECT based on deep learning and transfer learning: a preliminary simulation study
Zhibiao Cheng, Junhai Wen, Jun Zhang, et al.
Annals of Translational Medicine (2022) Vol. 10, Iss. 7, pp. 396-396
Open Access | Times Cited: 6
Prior information-guided reconstruction network for positron emission tomography images
Zhiyuan Liu, Bo Wang, Huihui Ye, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 12, pp. 8230-8246
Open Access | Times Cited: 2
Super-resolution acquisition and reconstruction for cone-beam SPECT with low-resolution detector
Zhibiao Cheng, Lulu Xie, Cuixia Feng, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 217, pp. 106683-106683
Closed Access | Times Cited: 3
Generative adversarial network-created brain SPECTs of cerebral ischemia are indistinguishable to scans from real patients
Rudolf A. Werner, Takahiro Higuchi, Naoko Nose, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 3
Deep learning for medical image reconstruction
Jun Zhao, Qiu Huang, Dong Liang, et al.
Elsevier eBooks (2024), pp. 247-278
Closed Access
Page 1 - Next Page

Scroll to top