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Conference and Workshop Papers
- 2024
[c8]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: 115- [c7]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 - 2023
- [c6]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: 246-252 - [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 - [c4]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: 33-43 - [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 - 2022
- [c2]David Zimmerer, Daniel Paech, Carsten T. Lüth, Jens Petersen, Gregor Köhler, Klaus H. Maier-Hein:
Unsupervised Anomaly Detection in the Wild. Bildverarbeitung für die Medizin 2022: 26-31 - 2020
- [c1]Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. GCPR 2020: 373-387
Informal and Other Publications
- 2024
- [i11]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 abs/2401.08501 (2024) - [i10]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 abs/2403.12834 (2024) - [i9]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) - [i8]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) - [i7]Kenza Amara, Lukas Klein, Carsten T. Lüth, Paul Jäger, Hendrik Strobelt, Mennatallah El-Assady:
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities. CoRR abs/2410.01690 (2024) - 2023
- [i6]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 abs/2301.02126 (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) - [i4]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 abs/2307.07254 (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) - 2021
- [i2]Lynton Ardizzone, Jakob Kruse, Carsten T. Lüth, Niels Bracher, Carsten Rother, Ullrich Köthe:
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation. CoRR abs/2105.02104 (2021) - 2019
- [i1]Lynton Ardizzone, Carsten T. Lüth, Jakob Kruse, Carsten Rother, Ullrich Köthe:
Guided Image Generation with Conditional Invertible Neural Networks. CoRR abs/1907.02392 (2019)
Coauthor Index
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