A reliable, fully-automatic pipeline for 3D motion correction and volume fusion enables investigation of smaller and lower-contrast OCT features

Ploner S, Won J, Takahashi H, Karbole W, Yaghy A, Marmalidou A, Schottenhamml J, Waheed NK, Fujimoto JG, Maier A (2024)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Event location: Seattle, WA US

URI: https://iovs.arvojournals.org/article.aspx?articleid=2794904

Open Access Link: https://iovs.arvojournals.org/article.aspx?articleid=2794904

Authors with CRIS profile

Stefan Ploner Lehrstuhl für Informatik 5 (Mustererkennung) Wenke Karbole Lehrstuhl für Informatik 5 (Mustererkennung) Julia Schottenhamml Department of Ophthalmology Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Massachusetts Institute of Technology (MIT) US United States (USA) (US) New England Eye Center US United States (USA) (US) Tufts University US United States (USA) (US)

How to cite

APA:

Ploner, S., Won, J., Takahashi, H., Karbole, W., Yaghy, A., Marmalidou, A.,... Maier, A. (2024). A reliable, fully-automatic pipeline for 3D motion correction and volume fusion enables investigation of smaller and lower-contrast OCT features. In Proceedings of the ARVO annual meeting 2024. Seattle, WA, US.

MLA:

Ploner, Stefan, et al. "A reliable, fully-automatic pipeline for 3D motion correction and volume fusion enables investigation of smaller and lower-contrast OCT features." Proceedings of the ARVO annual meeting 2024, Seattle, WA 2024.

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