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:
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)
Closed Access | Times Cited: 4
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)
Closed Access | Times Cited: 4
Showing 4 citing articles:
Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023)
Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107441-107441
Open Access | Times Cited: 77
Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107441-107441
Open Access | Times Cited: 77
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis
Benjamin Lambert, Florence Forbes, Senan Doyle, et al.
Artificial Intelligence in Medicine (2024) Vol. 150, pp. 102830-102830
Open Access | Times Cited: 47
Benjamin Lambert, Florence Forbes, Senan Doyle, et al.
Artificial Intelligence in Medicine (2024) Vol. 150, pp. 102830-102830
Open Access | Times Cited: 47
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis
Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, et al.
Lecture notes in computer science (2025), pp. 89-98
Closed Access
Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, et al.
Lecture notes in computer science (2025), pp. 89-98
Closed Access
The role of trustworthy and reliable AI for multiple sclerosis
Lorin Werthen‐Brabants, Tom Dhaene, Dirk Deschrijver
Frontiers in Digital Health (2025) Vol. 7
Open Access
Lorin Werthen‐Brabants, Tom Dhaene, Dirk Deschrijver
Frontiers in Digital Health (2025) Vol. 7
Open Access
Uncertainty Aware Segmentation Quality Assessment in Medical Images
O. K. Sikha, Adrián Galdrán, Meritxell Riera-Marín, et al.
(2024), pp. 1-5
Closed Access
O. K. Sikha, Adrián Galdrán, Meritxell Riera-Marín, et al.
(2024), pp. 1-5
Closed Access
