Carsten T. Lüth

28 papers A* 5Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance.
CoRR
Vanessa Emanuela Guarino, Claudia Winklmayr, Jannik Franzen, Josef Lorenz Rumberger, Manuel Pfeuffer, Sonja Greven, Klaus H. Maier-Hein, Carsten T. Lüth, Christoph Karg, Dagmar Kainmueller
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
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 — conf
Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD.
Bildverarbeitung für die Medizin
Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein
2024 J jnl
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation.
CoRR
Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee
2024 A* conf
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.
NeurIPS
Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jaeger
2024 J jnl
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics.
CoRR
Lukas Klein, Carsten T. Lüth, Udo Schlegel, Till J. Bungert, Mennatallah El-Assady, Paul F. Jäger
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
2024 A* conf
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.
ICLR
Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger
2024 J jnl
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.
CoRR
Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger
2024 J jnl
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities.
CoRR
Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady
2023 A* conf
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.
ICLR
Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert
2023 J jnl
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization.
CoRR
Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein
2023 — conf
Contrastive Representations for Unsupervised Anomaly Detection and Localization.
Bildverarbeitung für die Medizin
Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
2023 A* conf
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment.
NeurIPS
Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger
2023 J jnl
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification.
CoRR
Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger
2023 — conf
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations.
MICCAI (5)
Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein
2023 J jnl
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations.
CoRR
Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jaeger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein
2022 J jnl
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.
CoRR
Paul F. Jaeger, Carsten T. Lüth, Lukas Klein, Till J. Bungert
2022 — conf
Unsupervised Anomaly Detection in the Wild.
Bildverarbeitung für die Medizin
David Zimmerer, Daniel Paech, Carsten T. Lüth, Jens Petersen, Gregor Köhler, Klaus H. Maier-Hein
2021 J jnl
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.
CoRR
Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
2020 — conf
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation.
GCPR
Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe
2019 J jnl
Guided Image Generation with Conditional Invertible Neural Networks.
CoRR
Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe