Name: David Haberl
Type: User
Company: Medical University of Vienna
Bio: Doctoral Researcher at the Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna. Medical image analysis and Machine learning
Location: Vienna, Austria
David Haberl's Projects
Implementation of a 3D CycleGAN
Computes the Standardized Uptake Values based on body weight of PET scans.
Official public repository of Gate
Towards automated Gate Benchmarks
User-oriented public repository of Gate (macros, examples and user contributions)
normalize the intensities of various MR image modalities
Classification CNN for 2D MNIST data
Classification CNN for 3D MNIST data.
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Classification CNN to predict colorectal cancer on PET slices in the transverse plane.
Various tools and scripts I need for my PhD