MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences.

Wang CY, Sadrieh FK, Shen YT, Chen SE, Kim S, Chen V, Raghavendra A, Wang D, Saeedi O, Tao Y.

DOI: 10.1364/boe.516481
Published: 2024-04-30
Container: Biomed Opt Express
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1364/boe.516481,
  title = {MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences.},
  author = {Wang CY and  Sadrieh FK and  Shen YT and  Chen SE and  Kim S and  Chen V and  Raghavendra A and  Wang D and  Saeedi O and  Tao Y.},
  year = {2024},
  journal = {Biomed Opt Express},
  doi = {10.1364/boe.516481},
  url = {https://doi.org/10.1364/boe.516481}
}

RIS

TY  - JOUR
TI  - MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences.
AU  - Wang CY
AU  -  Sadrieh FK
AU  -  Shen YT
AU  -  Chen SE
AU  -  Kim S
AU  -  Chen V
AU  -  Raghavendra A
AU  -  Wang D
AU  -  Saeedi O
AU  -  Tao Y.
PY  - 2024
JO  - Biomed Opt Express
DO  - 10.1364/boe.516481
UR  - https://doi.org/10.1364/boe.516481
ER  -

APA

CY, W., FK, S., YT, S., SE, C., S, K., V, C., A, R., D, W., O, S., & Y., T. (2024). MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences.. Biomed Opt Express. https://doi.org/10.1364/boe.516481

Source records

europe-pmc · retrieved 2026-09-25T02:50:20.674Z