Doctoral project Danilo Babin

Cerebral blood flow modelling in support of patient-specific planning of minimally invasive brain interventions

Data Efficient Deep Learning Models for Biomedical Image Segmentation

Doctoral project Hrvoje Leventić

Doctoral project Mohammadjavad Sedghizadeh

Doctoral project Robbe De Muynck

Generative Deep Learning for Synthetic Neurovascular Data and Extended Reality Simulation

Hyperspectral Image Analysis for Real-time Tissue Oxygenation Measurements in Laparoscopic Surgery

Image analysis for neurovascular medicine

Multispectral Imaging and Machine Learning for Optical Biopsy in Abdominal Cancer Surgery

New computational approaches for analysis of brain-wide volumetric functional ultrasound imaging in behaving rodents

Optimization of Deep Learning Algorithms for the Cardiovascular System Image Processing Using Residual Units

Patient-Specific Planning of Minimally Invasive Brain Interventions based on Vascular-Hemodynamic Mapping

Genetic predictors of joint shape and cartilage mechanics