fabianbalsiger

cookiecutter

MiaLab

Medical Image Analysis Laboratory

minimal-annotation-muscle-segmentation

A minimal annotation pipeline for deep-learning segmentation of skeletal muscles

mrf-reconstruction-media2020

Code for the Medical Image Analysis paper Balsiger et al., Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting

mrf-reconstruction-midl2019

Code for the MIDL 2019 paper Balsiger et al., On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting

mrf-reconstruction-mlmir2020

Code for the Machine Learning for Medical Image Reconstruction (MLMIR) 2020 paper Balsiger and Jungo et al., Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks

musclesenseworkbench

Musclesense workbench is an open-source software package for MRI visualisation, processing, and analysis that is tailored for use in neuromuscular diseases research

point-cloud-segmentation-miccai2019

Code for the MICCAI 2019 paper Balsiger et al., Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

pymia

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

fabianbalsiger/point-cloud-segmentation-miccai2019

Code for the MICCAI 2019 paper Balsiger et al., Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation

fabianbalsiger/mrf-reconstruction-media2020

Code for the Medical Image Analysis paper Balsiger et al., Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting

fabianbalsiger/mrf-reconstruction-midl2019

Code for the MIDL 2019 paper Balsiger et al., On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting

fabianbalsiger/mrf-reconstruction-mlmir2020

Code for the Machine Learning for Medical Image Reconstruction (MLMIR) 2020 paper Balsiger and Jungo et al., Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks

fabianbalsiger/minimal-annotation-muscle-segmentation

A minimal annotation pipeline for deep-learning segmentation of skeletal muscles

fabianbalsiger/cookiecutter

fabianbalsiger/MiaLab

Medical Image Analysis Laboratory

fabianbalsiger/musclesenseworkbench

Musclesense workbench is an open-source software package for MRI visualisation, processing, and analysis that is tailored for use in neuromuscular diseases research

fabianbalsiger/pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

fabianbalsiger/qmrn-review

Methodologies and MR Parameters in Quantitative Magnetic Resonance Neurography: A Scoping Review

fabianbalsiger/rtd

fabianbalsiger/tensorflow

Computation using data flow graphs for scalable machine learning