Matija Milanic

Learn More
A widely used approach to solving the inverse problem in electrocardiography involves computing potentials on the epicardium from measured electrocardiograms (ECGs) on the torso surface. The main challenge of solving this electrocardiographic imaging (ECGI) problem lies in its intrinsic ill-posedness. While many regularization techniques have been developed(More)
Electrocardiographic imaging (ECGI) is a widely used method of computing potentials on the epicardium from measured or simulated potentials on the torso surface. The main challenge of the electrocardiographic imaging problem lies in its intrinsic ill-posedness, and many regularization techniques have been developed to smooth out the solution. It is still an(More)
It has been generally recognized that understanding the molecular basis of some important cellular processes is hampered by the lack of knowledge of forces that drive spontaneous formation/disruption of G-quadruplex structures in guanine-rich DNA sequences. According to numerous biophysical and structural studies G-quadruplexes may occur in the presence of(More)
We present a three-dimensional Monte Carlo model of optical transport in skin with a novel approach to treatment of side boundaries of the volume of interest. This represents an effective way to overcome the inherent limitations of "escape" and "mirror" boundary conditions and enables high-resolution modeling of skin inclusions with complex geometries and(More)
Rheumatoid arthritis (RA) is a disease that frequently leads to joint destruction. It has a high incidence rate worldwide, and the disease significantly reduces patients’ quality of life. Detecting and treating inflammatory arthritis before structural damage to the joint has occurred is known to be essential for preventing patient disability and pain.(More)
Regularization methodologies are an integral part in dealing with ill-posedness of inverse problem in electrocardiograhy, expressed in terms of potential distribution on the epicardium. In order to systematically evaluate various regularization techniques under controlled conditions, we employed progressively more complex idealized source models (from(More)
Current diagnosis of chronic wounds is based on visual inspection, collection of biopsies and analysis of extracted wound fluid. These methods are expensive, invasive, time consuming and often subjective. In this study a hyperspectral imaging system and a stereo vision system were combined to characterize and classify venous ulcers. It was shown that the(More)
  • 1