CBCT-IDDNet: a three-dimensional Res-UNet based image domain denoising network for clinical dose cone-beam computed tomography-winner of the International Conference on Acoustics, Speech, and Signal Processing-2024 challenge.
- DOI
- 10.21037/qims-24-1902
- Published
- 2025 Oct 1
- Container
- Quantitative imaging in medicine and surgery
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.21037/qims-24-1902,
title = {CBCT-IDDNet: a three-dimensional Res-UNet based image domain denoising network for clinical dose cone-beam computed tomography-winner of the International Conference on Acoustics, Speech, and Signal Processing-2024 challenge.},
author = {Zhao X and Wang X and Du Y and Peng Y},
year = {2025},
journal = {Quantitative imaging in medicine and surgery},
doi = {10.21037/qims-24-1902},
url = {https://doi.org/10.21037/qims-24-1902}
}RIS
TY - JOUR TI - CBCT-IDDNet: a three-dimensional Res-UNet based image domain denoising network for clinical dose cone-beam computed tomography-winner of the International Conference on Acoustics, Speech, and Signal Processing-2024 challenge. AU - Zhao X AU - Wang X AU - Du Y AU - Peng Y PY - 2025 JO - Quantitative imaging in medicine and surgery DO - 10.21037/qims-24-1902 UR - https://doi.org/10.21037/qims-24-1902 ER -
APA
X, Z., X, W., Y, D., & Y, P. (2025). CBCT-IDDNet: a three-dimensional Res-UNet based image domain denoising network for clinical dose cone-beam computed tomography-winner of the International Conference on Acoustics, Speech, and Signal Processing-2024 challenge.. Quantitative imaging in medicine and surgery. https://doi.org/10.21037/qims-24-1902
Source records
- pubmed · retrieved 2026-09-25T16:42:09.830Z