Fabian Balsiger
Postdoctoral researcher
PhD
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Biosketch
• MSc in Biomedical Engineering, University of Bern, Bern, CH
• PhD in Biomedical Engineering, University of Bern, Bern, Switzerland
Research interests
• Machine learning
• Image reconstruction and image segmentation
• Magnetic resonance fingerprinting
• Magnetic resonance neurography
• Neuromuscular diseases
Projects
• High-resolution Magnetic Resonance Fingerprinting for Peripheral Nerves
• Rapid Exploratory Imaging for High-resolution and Whole Extremity Coverage in MR Neurography
• pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis https://github.com/rundherum/pymia
• The MICCAI Hackathon https://miccai-hackathon.com/
Funding
• 2020. Nachwuchsförderungs-Projektpool, University of Bern, Bern, CH
• 2019. Doc.Mobility Fellowship, Swiss National Science Foundation (SNFS)
Prizes and awards
• 2021. Best PhD Thesis Award, Graduate School for Cellular and Biomedical Sciences (GCB), University of Bern, Bern, CH
• 2019. ISMRM Summa Cum Laude Award, International Society for Magnetic Resonance in Medicine (ISMRM)
Selected publications
Jungo A., Scheidegger O., Reyes M., Balsiger F. “pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis”, Computer Methods and Programs in Biomedicine, 2020.
Balsiger F., Jungo A., Scheidegger O., Carlier P. G., Reyes M.*, Marty B.* “Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting”, Medical Image Analysis, 2020.
Balsiger F., Soom Y., Scheidegger O., Reyes M. “Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation”, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019.
Balsiger F., Steindel C., Arn M., Wagner B., Grunder L., El-Koussy M., Valenzuela W., Reyes M., Scheidegger O. “Segmentation of Peripheral Nerves from Magnetic Resonance Neurography: A Fully-automatic, Deep Learning-based Approach”, Frontiers in Neurology, 2018.