Defining identifiability for improved flexibility of input data in the cardiovascular...
Aim: To perform an identifiability analysis on the parameters of an already designed functional model of the cardiovascular system. CMIV
Extending the cardiovascular functional avatar with enhanced modelling of blood pressure...
Include a blood pressure regulation system in a cardiovascular functional model to assure the validity of the method over a wide range of heart rates and blood pressures. CMIV
Automatic assessment of blood flow in the pulmonary veins using 4D Flow MRI
Develop a method to automatically extract and analyse blood flow curves from the pulmonary veins using 4D Flow MRI data, by exploiting atlas-generated segmentations. CMIV
Fusion of the cardiovascular lumped parameter and three-dimensional heart model
Aim: To evaluate the results of using a cardiovascular functional avatar with CT images as inputs, and to compare these results with MRI measurements. CMIV
Automated quantification of cardiac fat from MRI using machine learning
In this project we aim to implement a convolutional neural network to enable automated segmentation of the fat surrounding the heart from MR images.
PhD scholarships, postdoctoral fellowships and visiting professorships
The Danish Diabetes Academy (DDA) invites applications for co-financed (2/3) PhD scholarships, two-year and three-year postdoctoral fellowships and visiting professorships
Master project in Molecular Plasticity and Generation of Nerve Impulses