Lightweight Container Orchestration for Reproducible AI and Deep Learning Segmentation of Coronary Arteries and the Aorta in Coronary CT Angiography

Michal Iwanski, Piotr Regulski, Piotr Wendykier

Open source

DOI: 10.3390/diagnostics16142214
Published: 2026-07-15
Container: Diagnostics
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/diagnostics16142214,
  title = {Lightweight Container Orchestration for Reproducible AI and Deep Learning Segmentation of Coronary Arteries and the Aorta in Coronary CT Angiography},
  author = {Michal Iwanski and Piotr Regulski and Piotr Wendykier},
  year = {2026},
  journal = {Diagnostics},
  doi = {10.3390/diagnostics16142214},
  url = {https://doi.org/10.3390/diagnostics16142214}
}

RIS

TY  - JOUR
TI  - Lightweight Container Orchestration for Reproducible AI and Deep Learning Segmentation of Coronary Arteries and the Aorta in Coronary CT Angiography
AU  - Michal Iwanski
AU  - Piotr Regulski
AU  - Piotr Wendykier
PY  - 2026
JO  - Diagnostics
DO  - 10.3390/diagnostics16142214
UR  - https://doi.org/10.3390/diagnostics16142214
ER  -

APA

Iwanski, M., Regulski, P., & Wendykier, P. (2026). Lightweight Container Orchestration for Reproducible AI and Deep Learning Segmentation of Coronary Arteries and the Aorta in Coronary CT Angiography. Diagnostics. https://doi.org/10.3390/diagnostics16142214

Source records

crossref · retrieved 2026-11-10T08:58:50.615Z