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Autoencoders for unsupervised anomaly segmentation in brain MR images: A comparative study.

, , , , and . Medical Image Anal., (2021)

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CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGAN., , , , , , , , and . CoRR, (2022)(Predictable) Performance Bias in Unsupervised Anomaly Detection., , , , , , , and . CoRR, (2023)FedCostWAvg: A new averaging for better Federated Learning., , , , , , , and . CoRR, (2021)The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma., , , , , , , , , and 50 other author(s). CoRR, (2023)The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients., , , , , , , , , and 7 other author(s). CoRR, (2021)Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations., , , , , , , , , and 2 other author(s). MICCAI (8), volume 14227 of Lecture Notes in Computer Science, page 173-183. Springer, (2023)ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations., , , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 666-679. PMLR, (2023)SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI., , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 718-727. Springer, (2020)ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset., , , , , , , , , and 15 other author(s). CoRR, (2022)Multi-contrast MRI Super-resolution via Implicit Neural Representations., , , , , , , , , and 2 other author(s). CoRR, (2023)