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:

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation
Kuang Gong, Jiahui Guan, Kyungsang Kim, et al.
IEEE Transactions on Medical Imaging (2018) Vol. 38, Iss. 3, pp. 675-685
Open Access | Times Cited: 245

Showing 1-25 of 245 citing articles:

Introduction to Radiomics
Marius E. Mayerhoefer, Andrzej Materka, Georg Langs, et al.
Journal of Nuclear Medicine (2020) Vol. 61, Iss. 4, pp. 488-495
Open Access | Times Cited: 1153
Deep learning for tomographic image reconstruction
Ge Wang, Jong Chul Ye, Bruno De Man
Nature Machine Intelligence (2020) Vol. 2, Iss. 12, pp. 737-748
Closed Access | Times Cited: 405
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
Proceedings of the IEEE (2019) Vol. 108, Iss. 1, pp. 86-109
Open Access | Times Cited: 275
DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem
Ida Häggström, C. Ross Schmidtlein, Gabriele Campanella, et al.
Medical Image Analysis (2019) Vol. 54, pp. 253-262
Open Access | Times Cited: 269
PET Image Reconstruction Using Deep Image Prior
Kuang Gong, Ciprian Catana, Jinyi Qi, et al.
IEEE Transactions on Medical Imaging (2018) Vol. 38, Iss. 7, pp. 1655-1665
Open Access | Times Cited: 244
PET image denoising using unsupervised deep learning
Jianan Cui, Kuang Gong, Ning Guo, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2019) Vol. 46, Iss. 13, pp. 2780-2789
Open Access | Times Cited: 221
PET Image Denoising Using a Deep Neural Network Through Fine Tuning
Kuang Gong, Jiahui Guan, Chih‐Chieh Liu, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2018) Vol. 3, Iss. 2, pp. 153-161
Open Access | Times Cited: 205
FISTA-Net: Learning a Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging
Jinxi Xiang, Yonggui Dong, Yunjie Yang
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 5, pp. 1329-1339
Open Access | Times Cited: 190
Deep Learning for PET Image Reconstruction
Andrew J. Reader, Guillaume Corda-D’Incan, Abolfazl Mehranian, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2020) Vol. 5, Iss. 1, pp. 1-25
Open Access | Times Cited: 182
Quantitative susceptibility mapping using deep neural network: QSMnet
Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, et al.
NeuroImage (2018) Vol. 179, pp. 199-206
Open Access | Times Cited: 174
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
Hossein Arabi, Habib Zaidi
European Journal of Hybrid Imaging (2020) Vol. 4, Iss. 1
Open Access | Times Cited: 154
Supervised learning with cyclegan for low-dose FDG PET image denoising
Long Zhou, Joshua Schaefferkoetter, Ivan Weng Keong Tham, et al.
Medical Image Analysis (2020) Vol. 65, pp. 101770-101770
Closed Access | Times Cited: 146
Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications
Dimitris Visvikis, Catherine Cheze Le Rest, Vincent Jaouen, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2019) Vol. 46, Iss. 13, pp. 2630-2637
Closed Access | Times Cited: 145
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: 24
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET
Inês Domingues, Gisèle Pereira, Pedro Martins, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 6, pp. 4093-4160
Closed Access | Times Cited: 136
An investigation of quantitative accuracy for deep learning based denoising in oncological PET
Wenzhuo Lu, John A. Onofrey, Yihuan Lu, et al.
Physics in Medicine and Biology (2019) Vol. 64, Iss. 16, pp. 165019-165019
Closed Access | Times Cited: 121
Subsecond total-body imaging using ultrasensitive positron emission tomography
Xuezhu Zhang, Simon R. Cherry, Zhaoheng Xie, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 5, pp. 2265-2267
Open Access | Times Cited: 119
Model-Based Deep Learning PET Image Reconstruction Using Forward–Backward Splitting Expectation–Maximization
Abolfazl Mehranian, Andrew J. Reader
IEEE Transactions on Radiation and Plasma Medical Sciences (2020) Vol. 5, Iss. 1, pp. 54-64
Open Access | Times Cited: 114
Dynamic PET Image Denoising Using Deep Convolutional Neural Networks Without Prior Training Datasets
Fumio Hashimoto, Hiroyuki Ohba, Kibo Ote, et al.
IEEE Access (2019) Vol. 7, pp. 96594-96603
Open Access | Times Cited: 110
A survey on deep learning in medical image reconstruction
Emmanuel Ahishakiye, Martin B. van Gijzen, Julius Tumwiine, et al.
Intelligent Medicine (2021) Vol. 1, Iss. 3, pp. 118-127
Open Access | Times Cited: 100
Machine Learning in PET: From Photon Detection to Quantitative Image Reconstruction
Kuang Gong, Eric Berg, Simon R. Cherry, et al.
Proceedings of the IEEE (2019) Vol. 108, Iss. 1, pp. 51-68
Open Access | Times Cited: 89
Artificial Intelligence and Machine Learning in Nuclear Medicine: Future Perspectives
Robert Seifert, Manuel Weber, Emre Kocakavuk, et al.
Seminars in Nuclear Medicine (2020) Vol. 51, Iss. 2, pp. 170-177
Closed Access | Times Cited: 88
Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images
Kuang Gong, Jaewon Yang, Kyungsang Kim, et al.
Physics in Medicine and Biology (2018) Vol. 63, Iss. 12, pp. 125011-125011
Open Access | Times Cited: 84
DPIR-Net: Direct PET Image Reconstruction Based on the Wasserstein Generative Adversarial Network
Zhanli Hu, Hengzhi Xue, Qiyang Zhang, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2020) Vol. 5, Iss. 1, pp. 35-43
Closed Access | Times Cited: 83
Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods
Tonghe Wang, Yang Lei, Yabo Fu, et al.
Physica Medica (2020) Vol. 76, pp. 294-306
Open Access | Times Cited: 82
Page 1 - Next Page

Scroll to top