David Haberl's repositories
ComputeSUV
Computes the Standardized Uptake Values based on body weight of PET scans.
mnist3D_CNN
Classification CNN for 3D MNIST data.
PET_slices_CNN
Classification CNN to predict colorectal cancer on PET slices in the transverse plane.
3DCycleGAN
Implementation of a 3D CycleGAN
mnist2D_CNN
Classification CNN for 2D MNIST data
GateBenchmarks
Towards automated Gate Benchmarks
GateContrib
User-oriented public repository of Gate (macros, examples and user contributions)
intensity-normalization
normalize the intensities of various MR image modalities
MOOSE
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.
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Language:PythonApache-2.0000