Abstract: nnU-Net Revisited - Call for Rigorous Validation in 3D Medical Image Segmentation.
Proceedings of the Bildverarbeitung für die Medizin 2025, 2025
Unlocking the Potential of Digital Pathology: Novel Baselines for Compression.
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CoRR, 2024
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Overcoming Common Flaws in the Evaluation of Selective Classification Systems.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Mitigating False Predictions in Unreasonable Body Regions.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection.
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Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.
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Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Abstract: Object Detection for Breast Diffusion-weighted Imaging.
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Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency.
CoRR, 2023
Transformer Utilization in Medical Image Segmentation Networks.
CoRR, 2023
MultiTalent: A Multi-dataset Approach to Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Anatomy-Informed Data Augmentation for Enhanced Prostate Cancer Detection.
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Taming Detection Transformers for Medical Object Detection.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023
Accurate Detection of Mediastinal Lesions with nnDetection.
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022
Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy.
Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022
Abstract: nnDetection - A Self-configuring Method for Medical Object Detection.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022
nnDetection: A Self-configuring Method for Medical Object Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis.
J. Open Source Softw., 2019
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019