44 citations · 139 across the 7 of their papers we have counts for
4 papers · 1 filter
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
Florian Kofler, Ivan Ezhov, Fabian Isensee +16
Metrics optimized in complex machine learning tasks are often selected in an ad-hoc manner. It is unknown how they align with human expert perception. We explore the correlations b…
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Alain Jungo, Olivier Scheidegger, Mauricio Reyes +1
Background and Objective: Deep learning enables tremendous progress in medical image analysis. One driving force of this progress are open-source frameworks like TensorFlow and PyT…
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
Fabian Balsiger, Alain Jungo, Olivier Scheidegger +2
Magnetic resonance fingerprinting (MRF) enables fast and multiparametric MR imaging. Despite fast acquisition, the state-of-the-art reconstruction of MRF based on dictionary matchi…
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting
Fabian Balsiger, Alain Jungo, Olivier Scheidegger +3
Magnetic resonance fingerprinting (MRF) provides a unique concept for simultaneous and fast acquisition of multiple quantitative MR parameters. Despite acquisition efficiency, adop…