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Test-time adaptable neural networks for robust medical image segmentation - Ender Konukoglu
Test-time Adaptable Neural Networks for Robust Medical Image Segmentation | JRC Workshop 2021
R&D – Towards Trustworthy ML in Medical Image Analysis, Ender Konukoglu, Prof. Dr., ETHZ
Ender Konukoglu: "On Bayesian models with networks for reconstruction and detection"
MICCAI 2022: MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
MIDL 2021, I5, Karani et. al., Short Oral
Robust Visual Recognition by Test-Time Adaptation
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Unsupervised learning for Abdominal MRI Segmentation using 3D Attention W-Net
Andreanne Lemay - Impact of soft segmentation training on medical image segmentation
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
