Leveraging Last-Known-Well Times for Radiomics-Based Stroke Onset Estimation from Non-contrast CT

Vorberg L, Rist L, Ditt H, Maier A, Taubmann O (2025)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2025

Publisher: Springer

Series: Lecture Notes in Computer Science

City/Town: Cham

Pages Range: 52-61

Conference Proceedings Title: Image Analysis in Stroke Diagnosis and Interventions

Event location: Daejeon KR

DOI: 10.1007/978-3-032-07945-9_6

Authors with CRIS profile

Linda Vorberg Lehrstuhl für Informatik 5 (Mustererkennung) Leonhard Rist Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Siemens Healthineers DE Germany (DE)

How to cite

APA:

Vorberg, L., Rist, L., Ditt, H., Maier, A., & Taubmann, O. (2025). Leveraging Last-Known-Well Times for Radiomics-Based Stroke Onset Estimation from Non-contrast CT. In Image Analysis in Stroke Diagnosis and Interventions (pp. 52-61). Daejeon, KR: Cham: Springer.

MLA:

Vorberg, Linda, et al. "Leveraging Last-Known-Well Times for Radiomics-Based Stroke Onset Estimation from Non-contrast CT." Proceedings of the 5th International Workshop SWITCH 2025, Daejeon Cham: Springer, 2025. 52-61.

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