2 papers
eess.IV2026
Fast Multi-Stack Slice-to-Volume Reconstruction via Multi-Scale Unrolled Optimization
Margherita Firenze, Sean I. Young, Clinton J. Wang +5
Fully convolutional networks have become the backbone of modern medical imaging due to their ability to learn multi-scale representations and perform end-to-end inference. Yet thei…
eess.IV2024
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging
Paul Weiser, Georg Langs, Wolfgang Bogner +11
Introduction: Altered neurometabolism is an important pathological mechanism in many neurological diseases and brain cancer, which can be mapped non-invasively by Magnetic Resonanc…