1 code implementation • 7 Oct 2020 • Alain Jungo, Olivier Scheidegger, Mauricio Reyes, Fabian Balsiger
While data handling and evaluation are independent of the deep learning framework used, they can easily be integrated into TensorFlow and PyTorch pipelines.
1 code implementation • 10 Aug 2020 • Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Benjamin Marty, Mauricio Reyes
Here, we revisit NN-based MRF reconstruction to jointly learn the forward process from MR parameters to fingerprints and the backward process from fingerprints to MR parameters by leveraging invertible neural networks (INNs).
1 code implementation • 9 Nov 2019 • Fabian Balsiger, Alain Jungo, Olivier Scheidegger, Pierre G. Carlier, Mauricio Reyes, Benjamin Marty
Here, we propose a convolutional neural network-based reconstruction, which enables both accurate and fast reconstruction of parametric maps, and is adaptable based on the needs of spatial regularization and the capacity for the reconstruction.
1 code implementation • 5 Jun 2019 • Fabian Balsiger, Yannick Soom, Olivier Scheidegger, Mauricio Reyes
By synthetic experiments, we further show the capability of our approach in learning an explicit anatomical shape representation.
no code implementations • 17 Jul 2018 • Fabian Balsiger, Amaresha Shridhar Konar, Shivaprasad Chikop, Vimal Chandran, Olivier Scheidegger, Sairam Geethanath, Mauricio Reyes
Magnetic resonance fingerprinting (MRF) quantifies multiple nuclear magnetic resonance parameters in a single and fast acquisition.