Research in this field focuses on two aspects:
Biomedical imaging
Biomedical imaging, which encompasses research involving the design and application of imaging modalities producing images of the human body at different scales dedicated to a better understanding of human biology, anatomy, physiology, and diseases. It is also focused on practical aspects of research related to preventive medicine, medical diagnostics, human safety, and therapy support using different structural and functional studies. Particular research problems can be related to new imaging methods, procedures, and algorithms that involve new sensors, hardware, image reconstruction methods, etc. Examples include image reconstruction algorithms in computed tomography, parametric image synthesis in functional brain studies, dynamic active thermal imaging, Imaging methods in computed tomography and medical image processing, processing of visual and thermographic image sequences in order to extract medical signals and parameters (e.g. pulse).
His research topics are mainly related to medical imaging, image processing, machine learning and data mining methods, human-system interaction and quality of life technologies., etc.
Computer vision in medicine
Computer vision in medicine, which encompasses research involving the development of new methods and algorithms focused on image processing, analysis, recognition, or understanding designed to explain human biology, provide diagnostic information for physicians, automatic recognition of pathologies, etc. It is also focused on the development of modern artificial intelligence solutions for biomedical image interpretations using existing or developed machine learning algorithms. Examples include pathology recognition and classification, medical image segmentation, new visualization techniques for diagnosis and therapy, recognition of patterns, parameters, or signals from images or image sequences, etc.
Research in this field is carried out in cooperation with medical institutions as well as companies producing equipment and software for biomedical imaging and computer vision in medicine. New research topics in the presented fields are possible and can be discussed with a potential supervisor.
Keywords:
imaging systems, biomedical image reconstruction, biomedical image processing, biomedical image analysis, biomedical image recognition, biomedical image understanding, computer vision in medicine, machine learning in biomedical imaging
