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:
Constructing Synthetic Chorio-Retinal Patches using Generative Adversarial Networks
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
(2019)
Closed Access | Times Cited: 9
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
(2019)
Closed Access | Times Cited: 9
Showing 9 citing articles:
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation
Jiwoong Jeong, Amara Tariq, Tobiloba Adejumo, et al.
Journal of Digital Imaging (2022) Vol. 35, Iss. 2, pp. 137-152
Open Access | Times Cited: 108
Jiwoong Jeong, Amara Tariq, Tobiloba Adejumo, et al.
Journal of Digital Imaging (2022) Vol. 35, Iss. 2, pp. 137-152
Open Access | Times Cited: 108
A deep learning method for automatic segmentation of the bony orbit in MRI and CT images
Jared Hamwood, Beat Schmutz, Michael J. Collins, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 42
Jared Hamwood, Beat Schmutz, Michael J. Collins, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 42
Enhancing OCT patch-based segmentation with improved GAN data augmentation and semi-supervised learning
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18087-18105
Open Access | Times Cited: 3
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18087-18105
Open Access | Times Cited: 3
Data augmentation for patch-based OCT chorio-retinal segmentation using generative adversarial networks
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 13, pp. 7393-7408
Closed Access | Times Cited: 20
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 13, pp. 7393-7408
Closed Access | Times Cited: 20
Glaucoma classification based on scanning laser ophthalmoscopic images using a deep learning ensemble method
Dominika Sułot, David Alonso‐Caneiro, Paweł Ksieniewicz, et al.
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252339-e0252339
Open Access | Times Cited: 18
Dominika Sułot, David Alonso‐Caneiro, Paweł Ksieniewicz, et al.
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252339-e0252339
Open Access | Times Cited: 18
Segmentation of anterior segment boundaries in swept source OCT images
Yoel Garcia Marin, Marta K. Skrok, Damian Siedlecki, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 903-915
Closed Access | Times Cited: 11
Yoel Garcia Marin, Marta K. Skrok, Damian Siedlecki, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 3, pp. 903-915
Closed Access | Times Cited: 11
Image segmentation and analysis methods applied to anterior eye optical coherence tomography
Francisco Yoel Garcia Marin
(2024)
Open Access
Francisco Yoel Garcia Marin
(2024)
Open Access
Dual image and mask synthesis with GANs for semantic segmentation in optical coherence tomography
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
(2020), pp. 1-8
Closed Access | Times Cited: 2
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
(2020), pp. 1-8
Closed Access | Times Cited: 2
Semi-supervised learning with cross-localisation in shared GAN latent space for enhanced OCT data augmentation
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
(2022), pp. 1-7
Closed Access
Jason Kugelman, David Alonso‐Caneiro, Scott A. Read, et al.
(2022), pp. 1-7
Closed Access
