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ORCIDCarsten T. Lüth
- > Home > Persons > Carsten T. Lüth
Publications
- 2026
[i14]Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jäger, Klaus H. Maier-Hein, Fabian Isensee:
Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging. CoRR abs/2601.13677 (2026)- 2025
- [j1]Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation. Trans. Mach. Learn. Res. 2025 (2025) - [i13]Carsten T. Lüth, Jeremias Traub, Kim-Celine Kahl, Till J. Bungert, Lukas Klein, Lars Krämer, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein:
nnActive: A Framework for Evaluation of Active Learning in 3D Biomedical Segmentation. CoRR abs/2511.19183 (2025) - 2024
- [c8]Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jaeger:
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics. NeurIPS 2024 - [c7]Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jaeger:
Overcoming Common Flaws in the Evaluation of Selective Classification Systems. NeurIPS 2024 - [i10]Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein
, Lena Maier-Hein, Paul F. Jaeger:
Overcoming Common Flaws in the Evaluation of Selective Classification Systems. CoRR abs/2407.01032 (2024) - [i9]Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jäger:
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics. CoRR abs/2409.16756 (2024) - 2023
- [c5]Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert:
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification. ICLR 2023 - [c3]Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger:
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment. NeurIPS 2023 - [i5]Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger:
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification. CoRR abs/2301.10625 (2023) - 2022
- [i3]Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert:
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification. CoRR abs/2211.15259 (2022)
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