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Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency.

, , , , , , and . CoRR, (2023)

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cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations., , , , , , , , , and . CoRR, (2023)RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement., , , , , , , , and . CoRR, (2023)Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency., , , , , , and . CoRR, (2023)nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation., , , , , , and . CoRR, (2024)Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement., , , , , , , , and . Bildverarbeitung für die Medizin, page 219. Springer, (2024)Taming Detection Transformers for Medical Object Detection., , , , and . Bildverarbeitung für die Medizin, page 183-188. Springer, (2023)Temporal Feature Networks for CNN based Object Detection., , and . IV, page 1478-1484. IEEE, (2021)cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations., , , , , , , , , and . MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 33-43. Springer, (2023)RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement., , , , , , , , and . WACV, page 799-807. IEEE, (2024)Extending nnU-Net Is All You Need., , , and . Bildverarbeitung für die Medizin, page 12-17. Springer, (2023)