Characterization of Foundation Models for Longitudinal Similarity Measurement in Medical Video Data

Authors

• Luisa Neubig, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
• Deirde Larsen, East Carolina University, Greenville, NC
• Takeshi Ikuma, LSU Health Sciences Center - New OrleansFollow
• Melda Kunduk, Louisiana State University, Baton Rouge, LA
• Andreas M. Kist, Friedrich-Alexander-Universität Erlangen-Nürnberg

Document Type

Conference Proceeding

Publication Date

3-12-2026

Publication Title

Bildverarbeitung für die Medizin 2026 (BVM 2026)

Abstract

Bildverarbeitung für die Medizin (German Conference on Medical Image Computing), March 15-17, 2026, Lübeck, Germany

First Page

252

Last Page

258

Comments

Abstract Number: P25

Rights

© 2026 The author(s), exclusively licensed to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature.

Recommended Citation

Neubig, Luisa; Larsen, Deirde; Ikuma, Takeshi; Kunduk, Melda; and Kist, Andreas M., "Characterization of Foundation Models for Longitudinal Similarity Measurement in Medical Video Data" (2026). School of Medicine Faculty Publications. 4883.
https://digitalscholar.lsuhsc.edu/som_facpubs/4883
10.1007/978-3-658-51100-5_51