Markus Hüllebrand

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

Rina D. Rudyanto, Sjoerd Kerkstra, Eva M. van Rikxoort et al. · Medical Image Analysis · 2014 · 155 citations · Full text

Computed Tomography, Image Analysis, Engineering +15

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge

Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo et al. · IEEE Journal of Biomedical and Health Informatics · 2023 · 61 citations · Full text

Convolutional Neural Network, Medical Image Segmentation, Engineering +23

Carotid geometry is an independent predictor of wall thickness – a 3D cardiovascular magnetic resonance study in patients with high cardiovascular risk

Christoph Strecker, Axel J. Krafft, Lilli Kaufhold et al. · Journal of Cardiovascular Magnetic Resonance · 2020 · 42 citations · Full text

Carotid Geometry and Wall Shear Stress Independently Predict Increased Wall Thickness—A Longitudinal 3D MRI Study in High-Risk Patients

Christoph Strecker, Axel J. Krafft, Lilli Kaufhold et al. · Frontiers in Cardiovascular Medicine · 2021 · 32 citations · Full text

Perfect Match: Radiomics and Artificial Intelligence in Cardiac Imaging

Bettina Baeßler, Sandy Engelhardt, Amar Hekalo et al. · Circulation Cardiovascular Imaging · 2024 · 23 citations

Artificial Intelligence, Engineering, Cardiovascular Diseases +17