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Confidence-Based Out-of-Distribution Detection: A Comparative Study and Analysis.

, , , и . UNSURE/PIPPI@MICCAI, том 12959 из Lecture Notes in Computer Science, стр. 122-132. Springer, (2021)

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Towards continual learning in medical imaging., , и . CoRR, (2018)Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment., , , и . MLMI@MICCAI (2), том 14349 из Lecture Notes in Computer Science, стр. 253-263. Springer, (2023)Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation., , , , и . IPMI, том 12729 из Lecture Notes in Computer Science, стр. 415-427. Springer, (2021)A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling., , , , , , , , , и 5 other автор(ы). MIDL, том 121 из Proceedings of Machine Learning Research, стр. 241-261. PMLR, (2020)Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift., , , , и . DART/FAIR@MICCAI, том 12968 из Lecture Notes in Computer Science, стр. 123-132. Springer, (2021)On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging., и . UNSURE@MICCAI, том 14291 из Lecture Notes in Computer Science, стр. 136-146. Springer, (2023)Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing., , , , , , , и . IPMI, том 11492 из Lecture Notes in Computer Science, стр. 221-234. Springer, (2019)Semi-Supervised Learning for Deep Causal Generative Models., , и . CoRR, (2024)Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI., , , и . MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, том 14394 из Lecture Notes in Computer Science, стр. 168-181. Springer, (2023)Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores., , , , и . MICCAI (8), том 13437 из Lecture Notes in Computer Science, стр. 693-703. Springer, (2022)