Projects
Advanced datamining algorithms for mass spectral imaging data in a biomedical context. KU Leuven
Boosting biomedical imaging data analysis via advanced machine learning KU Leuven
Mass spectrometry imaging (MSI) is a promising, label-free molecular imaging technology, which enables mapping the spatial distribution of hundreds to thousands of biomolecules in a tissue within a single experiment. Additionally, as it is a label-free and untargeted molecular imaging technology, it does not require prior knowledge about the tissue or target-specific reagents. Due to those outstanding characteristics, MSI is becoming ...
Compact representation of biomedical signals. KU Leuven
Strengthening Phytopharmaceutical and OMICs Research as well as Biomedical Education in Three Cuban Institutes by Defining the Clinical and Molecular Effect of a Cuban Curcumin Nano-formulation (Curmeric) on Dengue Infection. University of Antwerp
StUDyS: Developing crucial Statistical methods for Understanding major complex Dynamic Systems in natural, biomedical and social sciences Hasselt University
Predictive clustering for structured biomedical data. KU Leuven
In many areas of science, data is generated at an increasing pace, calling for adequate data mining tools to extract useful knowledge. Challenges encountered include the scale and the complexity (structure) of the data. An increasing number of new applications, including the analysis of complex biomedical data, motivate the adaptation of existing, and the design of new methodologies. In this project, we will develop new data mining methods to ...
Multi-modal signal processing algorithms for extraction of coupled sources in combined audio and EEG recordings. KU Leuven
One in five experiences hearing loss. The World Health Organization estimates that this number will increase to one in four in 2050. Luckily, effective hearing devices such as hearing aids and cochlear implants exist with advanced noise suppression and speaker enhancement algorithms that can significantly improve the quality of life of people suffering from hearing loss. State-of-the-art hearing devices, however, underperform in a so-called ...
Automated image feature extraction and computer vision for quantitative brain tumour diagnosis Ghent University
Yearly, about 35.000 brain tumours are diagnosed. While for patient stratification, a correct diagnosis is of utmost importance, there is growing evidence that quantitative diagnosis is more accurate. This project will implement fully automatic image feature extraction for an improved diagnosis. This will eventually result in better personalized treatment and patient stratification, thereby improving patient outcome and decreasing healthcare ...
The DUCK project: Distraction from learning by Unrelated auditory events assessed by Computational modeling and Knowledge extraction from single-trial electroencephalography (EEG) Ghent University
The human brain is remarkable capable to suppress, focus on, and switch between auditory streams, but the underlying interplay of neurophysiology and acoustics remains unclear. The DUCK project aims to develop a human-mimicking computational approach applicable in real-world learning conditions. To assess and validate the included stages of auditory processing, single-trial electroencephalography (EEG) will be used in ecological valid ...