Carsten T. Lüth

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Active Learning

Image Classification

Failure Detection

One Class Support Vector Machines

Top Venues

Bildverarbeitung für die Medizin

Publications

Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation. CoRR (2024)
Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation. ICLR (2024)
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
Abstract: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations - cOOpD. Bildverarbeitung für die Medizin (2024)
Kim-Celine Kahl, Carsten T. Lüth, Maximilian Zenk, Klaus H. Maier-Hein, Paul F. Jaeger
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation. CoRR (2024)
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 (2024)
Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
Contrastive Representations for Unsupervised Anomaly Detection and Localization. Bildverarbeitung für die Medizin (2023)
Carsten T. Lüth, David Zimmerer, Gregor Köhler, Paul F. Jaeger, Fabian Isensee, Jens Petersen, Klaus H. Maier-Hein
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. CoRR (2023)
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)
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
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations. MICCAI (5) (2023)
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
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations. CoRR (2023)
Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul F. Jaeger
Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification. CoRR (2023)
Carsten T. Lüth, Till J. Bungert, Lukas Klein, Paul Jaeger
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment. NeurIPS (2023)
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 (2022)