44 citations · 120 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
Alain Jungo, Mauricio Reyes
Despite the recent improvements in overall accuracy, deep learning systems still exhibit low levels of robustness. Detecting possible failures is critical for a successful clinical…