As you delve into this section, you will discover a comprehensive overview of the research areas that drive innovation and advancement within our laboratory. These research areas encompass a wide range of topics, each addressing unique challenges and contributing to the broader goal of improving technology in healthcare and enhancing quality of life.
By showcasing these research areas, the webpage highlights the department’s commitment to interdisciplinary collaboration and innovation. Biomedical engineering is a rapidly evolving field that relies on the synergy between diverse disciplines, such as engineering, biology, medicine, and computer science. This integration allows us to approach healthcare challenges from multiple angles, foster novel solutions, and drive advancements in medical technology.
Whether it’s developing innovative medical devices, improving diagnostic imaging techniques, unraveling the complexities of the human body, or leveraging data analytics for precision medicine, the research areas presented on this webpage represent the cutting edge of biomedical engineering. They reflect the department’s dedication to fostering intellectual curiosity, pushing the boundaries of knowledge, and translating scientific discoveries into tangible improvements in healthcare.
Automatic alignment and fusion of medical data from different imaging systems and modalities (CT, MRI, PET, PET, SPECT, portal images, fundus camera).
Digital processing techniques combined with bio-inspired computing techniques for automatic categorization of medical signals, such as electroencephalograms and medical images, in order to support the diagnostic process.
Processing of various types of biosignals, in order to find quantifiable information related to specific characteristics that describe, or are directly or indirectly related to particular diseases or conditions.
This research area includes a variety of topics mainly concerning medical data management.
Medical imaging covers a wide range of algorithms and applications focusing on the processing of medical imaging data.
The development of algorithms and tools for multidimensional visualization of medical imaging data from different imaging systems.
