Projects

BrainDrugs website We aim to develop transparent predictive computer-based models to aid in identifying structural MRI abnormalities in epileptic patients. This includes establishing a text-mining model to automatically label radiology reports, as well as comparing MRI features identified by our deep learning image-based model proposal with the outcomes of existing task-specific methods in epilepsy research.

Development of biomarkers capable of robustly capturing age-related biological changes. Description Aging is associated with a wide range of molecular and structural changes throughout an individual’s lifespan, resulting in the deterioration of physical abilities and increased risk of disease.

Website By using major depressive disorder (MDD) risk scoring algorithms as a use case, we will illustrate how different levels of label bias affect trustworthy AI algorithms; we will estimate the magnitude of the bias and illustrate how it can be accounted for.

NIBS-CP website In NIBS-CP, we investigate the development of the brain and motor function in developing infants and infants at risk of cerebral palsy. Description In NIBS-CP, we investigate the development of the brain and motor function in infants.

OpenNeuroPET website Share, Curate and Analyze Brain Positron Emission Tomography Data Description Molecular neuroimaging, e.g., positron emission tomography (PET) and single photon emission tomography (SPECT), is an in vivo brain scanning modality that uniquely can be used to investigate neuropharmacological effects and brain diseases in vivo.

TRUSTMIND website AI algorithms for mental health screening based on a collaboration between experts in AI, neuroscience, medicine and ethics. Description The mental health system in Europe faces challenges, with extensive waiting times for diagnostic psychiatric appointments, and in Denmark, a national average waiting time of 92 weeks to see a specialist.