MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation.
- DOI
- 10.3390/bioengineering13030281
- Published
- 2026 Feb 27
- Container
- Bioengineering (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13030281,
title = {MedScanGAN: Synthetic PET \& CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation.},
author = {Samaras AD and Apostolopoulos ID and Papandrianos N},
year = {2026},
journal = {Bioengineering (Basel, Switzerland)},
doi = {10.3390/bioengineering13030281},
url = {https://doi.org/10.3390/bioengineering13030281}
}RIS
TY - JOUR TI - MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation. AU - Samaras AD AU - Apostolopoulos ID AU - Papandrianos N PY - 2026 JO - Bioengineering (Basel, Switzerland) DO - 10.3390/bioengineering13030281 UR - https://doi.org/10.3390/bioengineering13030281 ER -
APA
AD, S., ID, A., & N, P. (2026). MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13030281
Source records
- pubmed · retrieved 2026-09-26T23:29:04.965Z