Jeremias Traub

According to our database, Jeremias Traub authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

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

Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation.

Maximilian Zenk, David Zimmerer, Fabian Isensee, Jeremias Traub, Tobias Norajitra, Paul F. Jäger, Klaus H. Maier-Hein

Medical Image Anal., 2025

2024

Overcoming Common Flaws in the Evaluation of Selective Classification Systems.

Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Representation Learning with Diffusion Models.

Jeremias Traub

CoRR, 2022

2020

dantro: a Python package for handling, transforming, and visualizing hierarchically structured data.

Yunus Sevinchan, Benjamin Herdeanu, Jeremias Traub

J. Open Source Softw., 2020