Benedikt Wiestler

Latest

• Federated disentangled representation learning for unsupervised brain anomaly detection
• Federated disentangled representation learning for unsupervised brain anomaly detection
• ROAM: Random layer mixup for semi-supervised learning in medical images
• Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
• Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
• FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation
• Federated Disentangled Representation Learning for Unsupervised Brain Anomaly Detection
• Modeling Healthy Anatomy with Artificial Intelligence for Unsupervised Anomaly Detection in Brain MRI
• Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri
• Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
• SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI
• Fusing unsupervised and supervised deep learning for white matter lesion segmentation
• Deep autoencoding models for unsupervised anomaly segmentation in brain MR images