activity
20182021
collaborators

5 papers

cs.CV2021

The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference

Fabian Balsiger, Alain Jungo, Naren Akash R J +12

The MICCAI conference has encountered tremendous growth over the last years in terms of the size of the community, as well as the number of contributions and their technical succes…

eess.IV2020

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…

eess.IV2019

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…

cs.CV2019

Learning Shape Representation on Sparse Point Clouds for Volumetric Image Segmentation

Fabian Balsiger, Yannick Soom, Olivier Scheidegger +1

Volumetric image segmentation with convolutional neural networks (CNNs) encounters several challenges, which are specific to medical images. Among these challenges are large volume…

cs.CV2018

Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks

Fabian Balsiger, Amaresha Shridhar Konar, Shivaprasad Chikop +4

Magnetic resonance fingerprinting (MRF) quantifies multiple nuclear magnetic resonance parameters in a single and fast acquisition. Standard MRF reconstructs parametric maps using…