Gregor Köhler
Orcid: 0000-0002-5263-6786
According to our database1,
Gregor Köhler
authored at least 21 papers
between 2018 and 2024.
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Bibliography
2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency.
CoRR, 2023
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model.
CoRR, 2023
CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
2022
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.
IEEE Trans. Medical Imaging, 2022
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
2021
GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data.
CoRR, 2021
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2019
CoRR, 2019
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
CoRR, 2018