Can we really trust generative models in healthcare? A systematic review of uncertainty quantification in generative AI for medical imaging
- DOI
- 10.1016/j.cmpb.2026.109560
- Published
- 2026-10
- Container
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2026.109560,
title = {Can we really trust generative models in healthcare? A systematic review of uncertainty quantification in generative AI for medical imaging},
author = {Alen Shahini and Silvia Seoni and Alessandra Manzin and Martina Oria and Anjan Gudigar and U Raghavendra and Abdulkadir Sengur and Rajendra Acharya and Massimo Salvi},
year = {2026},
journal = {Computer Methods and Programs in Biomedicine},
doi = {10.1016/j.cmpb.2026.109560},
url = {https://doi.org/10.1016/j.cmpb.2026.109560}
}RIS
TY - JOUR TI - Can we really trust generative models in healthcare? A systematic review of uncertainty quantification in generative AI for medical imaging AU - Alen Shahini AU - Silvia Seoni AU - Alessandra Manzin AU - Martina Oria AU - Anjan Gudigar AU - U Raghavendra AU - Abdulkadir Sengur AU - Rajendra Acharya AU - Massimo Salvi PY - 2026 JO - Computer Methods and Programs in Biomedicine DO - 10.1016/j.cmpb.2026.109560 UR - https://doi.org/10.1016/j.cmpb.2026.109560 ER -
APA
Shahini, A., Seoni, S., Manzin, A., Oria, M., Gudigar, A., Raghavendra, U., Sengur, A., Acharya, R., & Salvi, M. (2026). Can we really trust generative models in healthcare? A systematic review of uncertainty quantification in generative AI for medical imaging. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2026.109560
Source records
- crossref · retrieved 2026-09-25T08:03:27.383Z