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:
A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices
Virginie Uhlmann, Laurène Donati, Daniel Sage
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 2, pp. 73-86
Closed Access | Times Cited: 9
Virginie Uhlmann, Laurène Donati, Daniel Sage
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 2, pp. 73-86
Closed Access | Times Cited: 9
Showing 9 citing articles:
Made to measure: An introduction to quantifying microscopy data in the life sciences
S J Culley, Alicia Cuber Caballero, Jemima J. Burden, et al.
Journal of Microscopy (2023) Vol. 295, Iss. 1, pp. 61-82
Open Access | Times Cited: 13
S J Culley, Alicia Cuber Caballero, Jemima J. Burden, et al.
Journal of Microscopy (2023) Vol. 295, Iss. 1, pp. 61-82
Open Access | Times Cited: 13
Progress and opportunities of foundation models in bioinformatics
Qing Li, Zhihang Hu, Yixuan Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 3
Qing Li, Zhihang Hu, Yixuan Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 3
Machine learning in microscopy – insights, opportunities and challenges
Inês Cunha, Emma Latron, Sebastian Bauer, et al.
Journal of Cell Science (2024) Vol. 137, Iss. 20
Closed Access | Times Cited: 3
Inês Cunha, Emma Latron, Sebastian Bauer, et al.
Journal of Cell Science (2024) Vol. 137, Iss. 20
Closed Access | Times Cited: 3
Defining the boundaries: challenges and advances in identifying cells in microscopy images
Nodar Gogoberidze, Beth A. Cimini
Current Opinion in Biotechnology (2023) Vol. 85, pp. 103055-103055
Open Access | Times Cited: 4
Nodar Gogoberidze, Beth A. Cimini
Current Opinion in Biotechnology (2023) Vol. 85, pp. 103055-103055
Open Access | Times Cited: 4
Contributions of deep learning to automated numerical modelling of the interaction of electric fields and cartilage tissue based on 3D images
Vien Lam, Július Zimmermann, Yilu Zhou, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 2
Vien Lam, Július Zimmermann, Yilu Zhou, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 2
Back to the future – 20 years of progress and developments in photonic microscopy and biological imaging
Marie Erard, Cyril Favard, Luke D. Lavis, et al.
Journal of Cell Science (2024) Vol. 137, Iss. 20
Closed Access
Marie Erard, Cyril Favard, Luke D. Lavis, et al.
Journal of Cell Science (2024) Vol. 137, Iss. 20
Closed Access
Think About Making Your Signal Processing Projects Compatible With Sustainable Development [From the Editor]
Christian Jutten
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 5, pp. 3-4
Open Access | Times Cited: 1
Christian Jutten
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 5, pp. 3-4
Open Access | Times Cited: 1
Defining the boundaries: challenges and advances in identifying cells in microscopy images
Nodar Gogoberidze, Beth A. Cimini
arXiv (Cornell University) (2023)
Open Access
Nodar Gogoberidze, Beth A. Cimini
arXiv (Cornell University) (2023)
Open Access
TechRxiv: Share Your Preprint Research With the World
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 5, pp. 4-4
Open Access
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 5, pp. 4-4
Open Access
