ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data
Soumick Chatterjee(Human Technopole), Oliver Speck(Otto-von-Guericke University Magdeburg), Georg Rose(Otto-von-Guericke-Universität Magdeburg), Mario Breitkopf(Otto-von-Guericke-Universität Magdeburg), Chompunuch Sarasaen(Otto-von-Guericke-Universität Magdeburg), Andreas Nürnberger(Center for Behavioral Brain Sciences), Hadya Yassin(Hasso Plattner Institute)
Cited by 31
Related Papers
Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration
|The Lancet Neurology|2013|5.4k
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
|Medical Image Analysis|2020|785
Classification of brain tumours in MR images using deep spatiospatial models
|Scientific Reports|2022|113
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images
|Journal of Imaging|2024|28