6 citations · 6 across the 3 of their papers we have counts for
4 papers
Meta-learning Slice-to-Volume Reconstruction in Fetal Brain MRI using Implicit Neural Representations
Maik Dannecker, Thomas Sanchez, Meritxell Bach Cuadra +6
High-resolution slice-to-volume reconstruction (SVR) from multiple motion-corrupted low-resolution 2D slices constitutes a critical step in image-based diagnostics of moving subjec…
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
Maik Dannecker, Vanessa Kyriakopoulou, Lucilio Cordero-Grande +3
We introduce a conditional implicit neural atlas (CINA) for spatio-temporal atlas generation from Magnetic Resonance Images (MRI) of the neurotypical and pathological fetal brain,…
Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction
Chen Qin, Jinming Duan, Kerstin Hammernik +7
Purpose: To introduce a novel deep learning based approach for fast and high-quality dynamic multi-coil MR reconstruction by learning a complementary time-frequency domain network…
Integrated and efficient diffusion-relaxometry using ZEBRA
Jana Hutter, Paddy J Slator, Daan C Christiaens +6
The emergence of multiparametric diffusion models combining diffusion and relaxometry measurements provide powerful new ways to explore tissue microstructure with the potential to…