Jeremias Traub

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging.
CoRR
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jäger, Klaus H. Maier-Hein, Fabian Isensee
2026 J jnl
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging.
Trans. Mach. Learn. Res.
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Klaus H. Maier-Hein, Fabian Isensee
2025 J jnl
Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation.
Medical Image Anal.
Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein
2025 J jnl
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks.
Trans. Mach. Learn. Res.
Kim-Celine Kahl, Selen Erkan, Jeremias Traub, Carsten T. Lüth, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger
2025 J jnl
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation.
CoRR
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
2025 J jnl
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation.
Trans. Mach. Learn. Res.
Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
2024 J jnl
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation.
CoRR
Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein
2024 A* conf
Overcoming Common Flaws in the Evaluation of Selective Classification Systems.
NeurIPS
Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger
2024 J jnl
Overcoming Common Flaws in the Evaluation of Selective Classification Systems.
CoRR
Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger
2024 J jnl
SURE-VQA: Systematic Understanding of Robustness Evaluation in Medical VQA Tasks.
CoRR
Kim-Celine Kahl, Selen Erkan, Jeremias Traub, Carsten T. Lüth, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger
2022 J jnl
Representation Learning with Diffusion Models.
CoRR
Jeremias Traub
2020 J jnl
dantro: a Python package for handling, transforming, and visualizing hierarchically structured data.
J. Open Source Softw.
Yunus Sevinchan, Benjamin Herdeanu, Jeremias Traub