Improving Clinical Reliability of Diffusion-Based Dermatology Image Synthesis Through Synthetic Note Alignment and Post-Generation Filtering.

Marini N, Liang Z, Rajaraman S, Xue Z, Antani S

DOI: 10.1109/coins69995.2026.11715620
Published: 2026
Container: IEEE International Conference on Omni-layer Intelligent Systems : COINS. IEEE International Conference on Omni-layer Intelligent Systems
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1109/coins69995.2026.11715620,
  title = {Improving Clinical Reliability of Diffusion-Based Dermatology Image Synthesis Through Synthetic Note Alignment and Post-Generation Filtering.},
  author = {Marini N and Liang Z and Rajaraman S and Xue Z and Antani S},
  year = {2026},
  journal = {IEEE International Conference on Omni-layer Intelligent Systems : COINS. IEEE International Conference on Omni-layer Intelligent Systems},
  doi = {10.1109/coins69995.2026.11715620},
  url = {https://doi.org/10.1109/coins69995.2026.11715620}
}

RIS

TY  - JOUR
TI  - Improving Clinical Reliability of Diffusion-Based Dermatology Image Synthesis Through Synthetic Note Alignment and Post-Generation Filtering.
AU  - Marini N
AU  - Liang Z
AU  - Rajaraman S
AU  - Xue Z
AU  - Antani S
PY  - 2026
JO  - IEEE International Conference on Omni-layer Intelligent Systems : COINS. IEEE International Conference on Omni-layer Intelligent Systems
DO  - 10.1109/coins69995.2026.11715620
UR  - https://doi.org/10.1109/coins69995.2026.11715620
ER  -

APA

N, M., Z, L., S, R., Z, X., & S, A. (2026). Improving Clinical Reliability of Diffusion-Based Dermatology Image Synthesis Through Synthetic Note Alignment and Post-Generation Filtering.. IEEE International Conference on Omni-layer Intelligent Systems : COINS. IEEE International Conference on Omni-layer Intelligent Systems. https://doi.org/10.1109/coins69995.2026.11715620

Source records

pubmed · retrieved 2026-11-10T16:33:04.494Z