Elisabeth Hoppe

Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series

Elisabeth Hoppe, Jens Wetzl, Felix Lugauer et al. · Studies in health technology and informatics · 2017 · 81 citations

Convolutional Neural Network, Engineering, Machine Learning +18

Accurate fatty acid composition estimation of adipose tissue in the abdomen based on bipolar multi‐echo MRI

Manuel Schneider, Gemini Janas, Felix Lugauer et al. · Magnetic Resonance in Medicine · 2018 · 25 citations

Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging

Elisabeth Hoppe, Jens Wetzl, Seung Su Yoon et al. · IEEE Transactions on Medical Imaging · 2021 · 13 citations

Engineering, Biomedical Engineering, Diagnostic Imaging +16

Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks

Elisabeth Hoppe, Florian Thamm, Gregor Körzdörfer et al. · arXiv (Cornell University) · 2019 · 12 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19