| Guided image generation with conditional invertible neural networks L Ardizzone, C Lüth, J Kruse, C Rother, U Köthe arXiv preprint arXiv:1907.02392, 2019 | 306* | 2019 |
| A call to reflect on evaluation practices for failure detection in image classification PF Jaeger, CT Lüth, L Klein, TJ Bungert International Conference on Learning Representations (ICLR), 2023, 2022 | 25 | 2022 |
| Navigating the pitfalls of active learning evaluation: A systematic framework for meaningful performance assessment C Lüth, T Bungert, L Klein, PF Jaeger Conference on Neural Information Processing Systems (NeurIPS), 2023, 2023 | 8* | 2023 |
| Cradl: Contrastive representations for unsupervised anomaly detection and localization CT Lüth, D Zimmerer, G Koehler, PF Jaeger, F Isensee, J Petersen, ... arXiv preprint arXiv:2301.02126, 2023 | 5 | 2023 |
| Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT SD Almeida, T Norajitra, CT Lüth, T Wald, V Weru, M Nolden, PF Jäger, ... European radiology, 1-14, 2023 | 3 | 2023 |
| cOOpD: reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations SD Almeida*, CT Lüth*, T Norajitra, T Wald, M Nolden, PF Jäger, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation KC Kahl*, CT Lüth*, M Zenk, K Maier-Hein, PF Jaeger, ... International Conference on Learning Representations (ICLR), 2024, 2024 | 2 | 2024 |
| Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation K Gotkowski, C Lüth, PF Jäger, S Ziegler, L Krämer, S Denner, S Xiao, ... arXiv preprint arXiv:2403.12834, 2024 | | 2024 |
| Capturing COPD heterogeneity: anomaly detection and parametric response mapping comparison for phenotyping on chest computed tomography SD Almeida, T Norajitra, CT Lüth, T Wald, V Weru, M Nolden, PF Jäger, ... Frontiers in Medicine 11, 1360706, 2024 | | 2024 |
| Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations: cOOpD SD Almeida, CT Lüth, T Norajitra, T Wald, M Nolden, PF Jäger, ... BVM Workshop, 115-115, 2024 | | 2024 |
| LATEC—A benchmark for large-scale attribution & attention evaluation in computer vision L Klein, U Schlegel, TJ Bungert, CT Lüth, M El-Assady, PF Jaeger | | 2023 |
| Contrastive Representations for Unsupervised Anomaly Detection and Localization CT Lüth, D Zimmerer, G Koehler, PF Jaeger, F Isenensee, KH Maier-Hein BVM Workshop, 246-252, 2023 | | 2023 |
| Probabilistic modeling of COPD imaging characteristics for disease severity prediction SD Almeida, T Norajitra, C Lueth, T Wald, T Kopytova, M Nolden, ... European Respiratory Journal 60 (suppl 66), 2022 | | 2022 |
| Unsupervised Anomaly Detection in the Wild D Zimmerer, D Paech, C Lüth, J Petersen, G Köhler, K Maier-Hein Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | | 2022 |
Paul F. JaegerInteractive Machine Learning Research Group at DKFZVerified email at dkfz.de
