24 results on '"F Jaeger"'
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2. Overcoming Common Flaws in the Evaluation of Selective Classification Systems.
3. ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.
4. Enhancing predictive imaging biomarker discovery through treatment effect analysis.
5. nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.
6. cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations.
7. 65 GOPS/neuron Photonic Tensor Core with Thin-film Lithium Niobate Photonics.
8. Understanding Silent Failures in Medical Image Classification.
9. Application-driven Validation of Posteriors in Inverse Problems.
10. RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement.
11. Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings.
12. Toward Realistic Evaluation of Deep Active Learning Algorithms in Image Classification.
13. CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization.
14. MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation.
15. Anatomy-informed Data Augmentation for Enhanced Prostate Cancer Detection.
16. A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification.
17. MONAI: An open-source framework for deep learning in healthcare.
18. nnDetection: A Self-configuring Method for Medical Object Detection.
19. nnU-Net for Brain Tumor Segmentation.
20. Reg R-CNN: Lesion Detection and Grading under Noisy Labels.
21. Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection.
22. nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.
23. Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images.
24. Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features.
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