Kim-Celine Kahl

According to our database, Kim-Celine Kahl authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation.

Tristan Kirscher, Markus Bujotzek, Yannick Kirchhoff, Maximilian Rokuss, Fabian Isensee, Kim-Celine Kahl, Balint Kovacs, Klaus Maier-Hein

CoRR, May, 2026

Assessing Pancreatic Ductal Adenocarcinoma Vascular Invasion: the PDACVI Benchmark.

Meritxell Riera-Marin, O. K. Sikha, Júlia Rodríguez-Comas, Matthias S. May, Tristan Kirscher, Xavier Coubez, Philippe Meyer, Sylvain Faisan, Zhaohong Pan, Xiang Zhou, X. Liang, Cédric Hémon, Valentin Boussot, Jean-Louis Dillenseger, Jean-Claude Nunes, Kim-Celine Kahl, Carsten T. Lüth, Jeremias Traub, Pierre-Henri Conze, Maria Montserrat Duh, Anton Aubanell, Ruben de Figueiredo Cardoso, Saskia Egger-Hackenschmidt, Javier García López, Miguel Ángel González Ballester, Adrian Galdran

CoRR, April, 2026

Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging.

Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Klaus H. Maier-Hein, Fabian Isensee

Trans. Mach. Learn. Res., 2026

2025

nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation.

Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein

Trans. Mach. Learn. Res., 2025

SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks.

Kim-Celine Kahl, Selen Erkan, Jeremias Traub, Carsten T. Lüth, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger

Trans. Mach. Learn. Res., 2025

2024

ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.

Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger

Proceedings of the Twelfth International Conference on Learning Representations, 2024