research
∙
07/31/2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
Data uncertainties, such as sensor noise or occlusions, can introduce ir...
share
research
∙
05/01/2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data
Uncertainty quantification in medical images has become an essential add...
research
∙
11/06/2022
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray
Deep learning-based pose estimation algorithms can successfully estimate...
research
∙
08/09/2022
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows
Melanoma is a serious form of skin cancer with high mortality rate at la...
research
∙
08/06/2022