Robust environment perception for the Audi Autonomous Driving Cup. - Florian Kuhnt; Micha Pfeiffer; Peter Zimmer; David Zimmerer; Jan-Markus Gomer; Vitali Kaiser; Ralf Kohlhaas; J. Marius Zöllner (ITSC, 2016)

Spiking Convolutional Deep Belief Networks. - Jacques Kaiser; David Zimmerer; Juan Camilo Vasquez Tieck; Stefan Ulbrich; Arne Roennau; Rüdiger Dillmann (ICANN (2), 2017)

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. - Tobias Roß; David Zimmerer; Anant Suraj Vemuri; Fabian Isensee; Sebastian Bodenstedt; Fabian Both; Philip Kessler; Martin Wagner 001; Beat Müller; Hannes Kenngott; Stefanie Speidel; Klaus H. Maier-Hein; et al. (CoRR, 2017)

Advanced Deep Learning Methods. - Paul Jäger 002; Fabian Isensee; Jens Petersen; David Zimmerer; Jakob Wasserthal; Klaus Hermann Maier-Hein (Bildverarbeitung für die Medizin, 2018)

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. - Tobias Roß; David Zimmerer; Anant Suraj Vemuri; Fabian Isensee; Manuel Wiesenfarth; Sebastian Bodenstedt; Fabian Both; Philip Kessler; Martin Wagner 001; Beat Müller; Hannes Kenngott; Stefanie Speidel; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. - Fabian Isensee; Jens Petersen; André Klein; David Zimmerer; Paul F. Jaeger; Simon Kohl; Jakob Wasserthal; Gregor Köhler; Tobias Norajitra; Sebastian J. Wirkert; Klaus H. Maier-Hein (CoRR, 2018)

Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. - David Zimmerer; Simon A. A. Kohl; Jens Petersen; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2018)

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation. - Fabian Isensee; Jens Petersen; André Klein; David Zimmerer; Paul F. Jaeger; Simon Kohl; Jakob Wasserthal; Gregor Köhler; Tobias Norajitra; Sebastian J. Wirkert; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2019)

Unsupervised Anomaly Localization Using Variational Auto-Encoders. - David Zimmerer; Fabian Isensee; Jens Petersen; Simon Kohl; Klaus H. Maier-Hein (MICCAI (4), 2019)

High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection. - David Zimmerer; Jens Petersen; Klaus H. Maier-Hein (CoRR, 2019)

A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. - David Zimmerer; Jens Petersen; Simon A. A. Kohl; Klaus H. Maier-Hein (CoRR, 2019)

Abstract: Unsupervised Anomaly Localization Using Variational Auto-Encoders. - David Zimmerer; Fabian Isensee; Jens Petersen; Simon Kohl; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2020)

Continuous-Time Deep Glioma Growth Models. - Jens Petersen; Fabian Isensee; Gregor Köhler; Paul F. Jäger; David Zimmerer; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Vollmuth; Klaus H. Maier-Hein (MICCAI (3), 2021)

GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data. - Jens Petersen; Gregor Köhler; David Zimmerer; Fabian Isensee; Paul F. Jäger; Klaus H. Maier-Hein (UAI, 2021)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data. - Jens Petersen; Gregor Köhler; David Zimmerer; Fabian Isensee; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 2021)

Realistic Evaluation of FixMatch on Imbalanced Medical Image Classification Tasks. - Maximilian Zenk; David Zimmerer; Fabian Isensee; Paul F. Jäger; Jakob Wasserthal; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2022)

Unsupervised Anomaly Detection in the Wild. - David Zimmerer; Daniel Paech; Carsten T. Lüth; Jens Petersen; Gregor Köhler; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2022)

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (IEEE Trans. Medical Imaging, 2022)

Unsupervised Learning for Anomaly Detection in Medical Images. - David Zimmerer (2022)

Contrastive Representations for Unsupervised Anomaly Detection and Localization. - Carsten T. Lüth; David Zimmerer; Gregor Köhler; Paul F. Jaeger; Fabian Isensee; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2023)

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. - David Zimmerer; Peter M. Full; Fabian Isensee; Paul Jäger 002; Tim Adler; Jens Petersen; Gregor Köhler; Tobias Roß; Annika Reinke; Antanas Kascenas; Bjørn Sand Jensen; Alison Q. O'Neil; et al. (Bildverarbeitung für die Medizin, 2023)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization. - Carsten T. Lüth; David Zimmerer; Gregor Köhler; Paul F. Jaeger; Fabian Isensee; Jens Petersen; Klaus H. Maier-Hein (CoRR, 2023)

SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model. - Saikat Roy; Tassilo Wald; Gregor Köhler; Maximilian Rokuss; Nico Disch; Julius Holzschuh; David Zimmerer; Klaus H. Maier-Hein (CoRR, 2023)

Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency. - Tassilo Wald; Constantin Ulrich; Fabian Isensee; David Zimmerer; Gregor Köhler; Michael Baumgartner 001; Klaus H. Maier-Hein (CoRR, 2023)

Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement. - Gregor Köhler; Tassilo Wald; Constantin Ulrich; David Zimmerer; Paul F. Jaeger; Jörg K. H. Franke; Simon Kohl; Fabian Isensee; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2024)

Back to the Future: Challenges of Sparse and Irregular Medical Image Time Series. - Nico Disch; Robin Peretzke; Saikat Roy; Constantin Ulrich; David Zimmerer; Rainer Stiefelhagen; Jens Kleesiek; Klaus H. Maier-Hein (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Beyond Heatmaps: A Comparative Analysis of Metrics for Anomaly Localization in Medical Images. - David Zimmerer; Klaus H. Maier-Hein (UNSURE@MICCAI, 2024)

Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. - Tassilo Wald; Constantin Ulrich; Priyank Jaini; Gregor Köhler; David Zimmerer; Stefan Denner; Fabian Isensee; Michael Baumgartner 001; Klaus H. Maier-Hein (NeurIPS, 2024)

RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. - Gregor Köhler; Tassilo Wald; Constantin Ulrich; David Zimmerer; Paul F. Jaeger; Jörg K. H. Franke; Simon Kohl; Fabian Isensee; Klaus H. Maier-Hein (WACV, 2024)

Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology. - Stefan Denner; David Zimmerer; Dimitrios Bounias; Markus Bujotzek; Shuhan Xiao; Lisa Kausch; Philipp Schader; Tobias Penzkofer; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 2024)

Visual Prompt Engineering for Medical Vision Language Models in Radiology. - Stefan Denner; Markus Bujotzek; Dimitrios Bounias; David Zimmerer; Raphael Stock; Paul F. Jäger; Klaus H. Maier-Hein (CoRR, 2024)

Leveraging foundation models for content-based image retrieval in radiology. - Stefan Denner; David Zimmerer; Dimitrios Bounias; Markus Bujotzek; Shuhan Xiao; Raphael Stock; Lisa Kausch; Philipp Schader; Tobias Penzkofer; Paul F. Jäger; Klaus H. Maier-Hein (Comput. Biol. Medicine, 2025)

Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation. - Maximilian Zenk; David Zimmerer; Fabian Isensee; Jeremias Traub; Tobias Norajitra; Paul F. Jäger; Klaus H. Maier-Hein (Medical Image Anal., 2025)

nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection. - Alexandra Ertl; Shuhan Xiao; Stefan Denner; Robin Peretzke; David Zimmerer; Peter Neher; Fabian Isensee; Klaus H. Maier-Hein (CoRR, 2025)