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Christoph Baur

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
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
GANs for medical image analysis
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI
Adversarial Networks for Camera Pose Regression and Refinement
Fusing unsupervised and supervised deep learning for white matter lesion segmentation
Staingan: Stain style transfer for digital histological images
Deep autoencoding models for unsupervised anomaly segmentation in brain MR images
GANs for medical image analysis
Generating highly realistic images of skin lesions with GANs
Semi-supervised deep learning for fully convolutional networks
Aggnet: deep learning from crowds for mitosis detection in breast cancer histology images
Cathnets: detection and single-view depth prediction of catheter electrodes