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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:

Deep‐learning model observer for a low‐contrast hepatic metastases localization task in computed tomography
Hao Gong, Joel G. Fletcher, Jay P. Heiken, et al.
Medical Physics (2021) Vol. 49, Iss. 1, pp. 70-83
Open Access | Times Cited: 12

Showing 12 citing articles:

No-reference perceptual CT image quality assessment based on a self-supervised learning framework
Wonkyeong Lee, Eunbyeol Cho, Wonjin Kim, et al.
Machine Learning Science and Technology (2022) Vol. 3, Iss. 4, pp. 045033-045033
Open Access | Times Cited: 15
Annotation-Efficient Deep Learning Model for Pancreatic Cancer Diagnosis and Classification Using CT Images: A Retrospective Diagnostic Study
Thanaporn Viriyasaranon, Jung Won Chun, Young Hwan Koh, et al.
Cancers (2023) Vol. 15, Iss. 13, pp. 3392-3392
Open Access | Times Cited: 8
Unsupervised Visual Representation Learning Based on Segmentation of Geometric Pseudo-Shapes for Transformer-Based Medical Tasks
Thanaporn Viriyasaranon, Sang Myung Woo, Jang‐Hwan Choi
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 4, pp. 2003-2014
Closed Access | Times Cited: 7
A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective
Wonjin Kim, Sun-Young Jeon, Gyuri Byun, et al.
Biomedical Engineering Letters (2024) Vol. 14, Iss. 6, pp. 1153-1173
Closed Access | Times Cited: 2
Study on analytical noise propagation in convolutional neural network methods used in computed tomography imaging
Xiaoyue Guo, Li Zhang, Yuxiang Xing
Nuclear Science and Techniques (2022) Vol. 33, Iss. 6
Closed Access | Times Cited: 11
UNet and MobileNet CNN-based model observers for CT protocol optimization: comparative performance evaluation by means of phantom CT images
F. Valeri, Maurizio Bartolucci, E. Cantoni, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. S1
Open Access | Times Cited: 5
Image quality evaluation in deep‐learning‐based CT noise reduction using virtual imaging trial methods: Contrast‐dependent spatial resolution
Zhongxing Zhou, Hao Gong, Scott S. Hsieh, et al.
Medical Physics (2024) Vol. 51, Iss. 8, pp. 5399-5413
Closed Access | Times Cited: 1
A deep learning anthropomorphic model observer for a detection task in PET
Muhan Shao, Darrin Byrd, Jhimli Mitra, et al.
Medical Physics (2024) Vol. 51, Iss. 10, pp. 7093-7107
Closed Access | Times Cited: 1
State-of-the-Art Deep Learning CT Reconstruction Algorithms in Abdominal Imaging
Achille Mileto, Lifeng Yu, Jonathan W. Revels, et al.
Radiographics (2024) Vol. 44, Iss. 12
Closed Access | Times Cited: 1
Probabilistic U-Net model observer for the DDC method in CT scan protocol optimization
David Stocker, Christian Sömmer, Sarah Gueng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 115026-115026
Closed Access
GREAT- IQA: Integrating Global Perception and Local Task-Specific Information for CT Image Quality Assessment
Qi Gao, Hongming Shan, Dong Zeng
(2023), pp. 386-394
Closed Access | Times Cited: 1
Self-trained deep convolutional neural network for noise reduction in CT
Zhongxing Zhou, Akitoshi Inoue, Cynthia H. McCollough, et al.
Journal of Medical Imaging (2023) Vol. 10, Iss. 04
Open Access
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