Projects
H2020: CSA: EURAMED rocc-n-roll: title EURopeAn MEDical application and Radiation prOteCtion Concept: strategic research agenda aNd ROadmap interLinking to heaLth and digitisation aspects Vrije Universiteit Brussel
and coordinated European approach to research and innovation in medical applications of ionising radiation and related radiation protection based on stakeholder consensus and existing activities in the field (incl. existing SRAs of radiation protection platforms.
An in vitro system for the testing of cardiovascular medical devices KU Leuven
Model-based analysis of 3D+time cardiac medical images, using a hybrid segmentation and registration approach. KU Leuven
Hunting for patient subtypes through image-based phenotypes as biomarkers for major gene effects in medical disorders KU Leuven
To develop a framework for gene-centric image data integration analytics and support a patient stratification strategy that identifies major gene effects with potential applications in a variety of medical disorders. This expands our previous work on rare monogenetic/ complex diseases in craniofacial and neurodevelopmental disorders, using available extensive datasets of different imaging modalities on individuals and patient groups. ...
Diffeomorphic hybrid non-rigid registration, modelled using agentgenerated spatio-temporal velocity fields and applications in computational anatomy and medical image computing. KU Leuven
Study and development of advanced image processing and machine learning techniques for the automatic processing of medical image data and applications in morphometric and forensic studies.
Spatial Representation in Models of Images and Text with Applications to Medical Document Indexing and Autonomous Driving KU Leuven
The project addresses the problem of interaction between the autonomous systems and the users in a way where the visual and language information are used to complement and reinforce one another, by learning representations that jointly capture the meaning of language and the visual reality and that allow visual situations to be translated into language and language into visuals. The approach is based on the use of neural networks, or more ...
Explainable machine learning, predictive modelling, and causal inference, applied to medical data Hasselt University
MOLECULAR DIAGNOSTICS IN AUTISM SPECTRUM DISORDER: NEXT GENERATION SEQUENCING AND FACIAL PHENOTYPING IN MEDICAL GENETICS KU Leuven
Despite considerable progress in the genetics of autism spectrum disorder (ASD) in the past decade, molecular diagnostics for patients with ASD remains a great challenge due to the complex genetic architecture of ASD. In clinical genetics, an etiological distinction is usually made between ASD patients with Mendelian causes (i.e. driven by a highly penetrant rare variant) and patients with multifactorial causes (i.e. driven by many genetic ...
The European medical isotope programme: Production of high purity isotopes by mass separation KU Leuven
PRISMAP - The European medical isotope programme: Production of high purity isotopes by mass separation proposes to federate a consortium of the key European intense neutron sources, isotope mass separation facilities and high-power accelerators and cyclotrons, with leading biomedical research institutes and hospitals active in the translation of the emerging radionuclides into medical diagnosis and treatment. PRISMAP will create a ...