Piotr S. Szczepaniak

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Since the early 1990s, artificial neural networks play an increasing role in the development of new biomedical systems. In United States, over last decades, the granted biomedical patents that explicitly refer to artificial neural networks in their title, abstract or key references amount to about 50% of the total number of granted biomedical patents with a(More)
BACKGROUND Formation of compact and poorly lysable clots has been reported in thromboembolic disorders. Little is known about clot properties in bleeding disorders. OBJECTIVES We hypothesized that more permeable and lysis-sensitive fibrin clots can be detected in women with heavy menstrual bleeding (HMB). METHODS We studied 52 women with HMB of unknown(More)
Recently, Fourier and cosine discrete transformations have been proposed for textual document ranking. The advantage of the methods is that not only the count of a frequency term within documents used; the spatial information about presence of the term is also considered. Here, this novel approach is used to improve performance of classifiers
The most difficult procedure of image processing [3] is the task of image segmentation. The popular but well-motivated opinion is that medical images are particularly hard to analyze [1]. One of the most promising methods of image segmentation is the active contour approach [2,4,5,7-11]. Originally, active contour methods were developed as tools for(More)
Recent studies have emphasized the role of perivascular inflammation in cardiovascular disease. We studied mechanisms of perivascular leukocyte infiltration in angiotensin II (Ang II)-induced hypertension and their links to vascular dysfunction. Chronic Ang II infusion in mice increased immune cell content of T cells (255 ± 130 to 1664 ± 349 cells/mg; P <(More)
Heart failure is the most common reason of death nowadays, but if the medical help is given directly, the patient’s life may be saved in many cases. Numerous heart diseases can be detected by means of analyzing electrocardiograms (ECG). This work concentrates on extracting characteristic features from ECG’s. The features are used to detect life-threating(More)