An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation.

Kalaie S, Bulpitt A, Frangi AF, Gooya A

DOI: 10.1109/tmi.2025.3562756
Published: 2025 Aug
Container: IEEE transactions on medical imaging
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tmi.2025.3562756,
  title = {An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation.},
  author = {Kalaie S and Bulpitt A and Frangi AF and Gooya A},
  year = {2025},
  journal = {IEEE transactions on medical imaging},
  doi = {10.1109/tmi.2025.3562756},
  url = {https://doi.org/10.1109/tmi.2025.3562756}
}

RIS

TY  - JOUR
TI  - An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation.
AU  - Kalaie S
AU  - Bulpitt A
AU  - Frangi AF
AU  - Gooya A
PY  - 2025
JO  - IEEE transactions on medical imaging
DO  - 10.1109/tmi.2025.3562756
UR  - https://doi.org/10.1109/tmi.2025.3562756
ER  -

APA

S, K., A, B., AF, F., & A, G. (2025). An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation.. IEEE transactions on medical imaging. https://doi.org/10.1109/tmi.2025.3562756

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pubmed · retrieved 2026-09-26T04:15:40.244Z