Biomedical image and signal analysis
Design of systems for computer-aided diagnosis and medical therapy
Medical informatics
Biomedical signal analysis
Physiological and behavioral biometrics
Music & biocybernetics
Systems for computer-aided diagnosis and therapy
Computer-aided medical therapy
Data analysis, including medical data
Artificial intelligence methods
Biomedical image and signal analysis
Artificial intelligence, machine learning, deep learning
Design of systems for computer-aided diagnosis
Medical image processing and analysis
Computer-aided diagnosis
Supporting the skin diseases diagnosis
Artificial intelligence and machine learning methods
Preclinical and clinical studies
Biocompatibility and hemocompatibility tests
Mechanical heart support, valve implants
Renal replacement therapy
Computational pathology and oncology
Artificial intelligence in the diagnosis and treatment of cancer
Biomarkers in personalized medicine
Bio-image informatics
Biomedical signal processing
HRV analysis
Biomedical electronics
Electrogastrography
Biomedical signal processing
HRV analysis
Biomedical electronics
Surgical robots
Image processing and analysis, including medical images
Systems for computer-aided diagnosis
Biomedical signal analysis
Speech signal analysis
Computer-aided diagnosis and therapy
Medical signal and image analysis
Biocybernetics and artificial intelligence
Data acquisition
Statistical analysis of biomedical data
Biomedical data processing
Pattern recognition
Telemedicine
Artificial intelligence
Drug desing and modeling
QSAR models
Data analysis, incl. medical data
Biomorphic materials
Medical image analysis
Computer-aided diagnosis
Supporting geriatric diagnosis
Medical image analysis
PACS and VNA systems
Biomedical signal analysis, including speech signal
Artificial intelligence, machine learning, deep learning
Design of computer-aided diagnosis systems for speech therapy
Computer vision in movement analysis
Computer-aided physiotherapy
Artificial intelligence, machine learning, deep learning
Biomorphic materials
Mathematical modeling in biomedicine
Biomedical signal processing
Elektrogastrography
Artificial intelligence and machine learning
Methods of statistical data analysis
Speech signal processing and analysis
Design of computer-aided diagnosis systems for speech therapy
Processing of digital radiological and histological images
Image navigation systems in surgical procedures
Archiving and transmission systems for radiological images
Artificial intelligence
Deep learning
Engineering support for physiotherapy
Behavioral and physiological profile of the patient during therapy
Hybrid systems for emotion assessment
Artificial intelligence and machine learning methods
Image processing, Insight Segmentation and Registration Toolkit
Electronics
Bioinformatics
Biomedical signal processing
Artificial intelligence and machine learning
Medical image and signal analysis
Image navigation systems in surgical procedures
Design of computer-aided diagnosis systems
Biomedical signal and image analysis
Computer-aided diagnosis systems for lower limb (knee arthroplasty, cruciate ligaments)
Biomedical signal analysis
Pain monitoring in physiotherapy
Speech signal analysis
Artificial intelligence, machine learning, deep learning
Biomedical signal processing
Image processing
Deep learning
Łukasiewicz – Kraków Institute of Technology
Roosevelta 118, 41-800 Zabrze, Poland
Biomedical electronics
Electrocardiography
Computer-aided diagnosis and therapy
Medical image analysis and processing
Supporting breast diseases diagnosis
Computer-aided medical therapy
Data analysis, including medical data
Artificial intelligence methods
Natural language processing methods
Linguistics
Immunogenetics
Certification of medical devices, in particular bio- and hemocompatibility tests
Mechanical heart support
Łukasiewicz – Kraków Institute of Technology
Roosevelta 118, 41-800 Zabrze, Poland
jan.mocha@kit.lukasiewicz.gov.pl
Biomedical electronics
Registration of physiological signals
Electroporation
Electromagnetic compatibility of electronic devices
Biomedical signal processing
Image processing
Pattern recognition
Medical image and signal analysis
Artificial intelligence, deep learning and machine learning
Design of computer-aided diagnosis systems
Biomorphic materials
Digital processing of biomedical signals
Medical informatics, diagnostics of the musculoskeletal system, acoustic signals of joints, medical equipment
Computer-aided diagnosis of dermatological diseases
Machine learning application in sign language analysis
Medical image analysis using artificial intelligence
Computer-aided physiotherapy
Signal processing and analysis
Personalized therapy systems design
Łukasiewicz – Kraków Institute of Technology
Roosevelta 118, 41-800 Zabrze, Poland
Biomedical signal processing
Biomedical electronics
Electrical bioimpedance analysis
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