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Research interests: artificial intelligence, image analysis, AI in medicine.
Mateusz Koryciński conducts research in the field of image processing. His scientific interests focus mainly on medical imaging data from magnetic resonance imaging (MRI). During his doctoral studies, he devised a tractography method to visualise nerve fibres near the surgical field, based on DTI (Diffusion Tensor Imaging) data. This method is currently being developed in many directions. One of them is a decision support system, currently in preparation, which will be used by neurosurgeons in preoperative planning. In this project, he actively collaborates with the Neurosurgery Department of the National Research Institute of Oncology in Warsaw.

From 2012 to 2017, he was a research assistant at the Max Planck Institute for Developmental Biology in Tuebingen, where he was involved in basic research in bioinformatics and protein evolution.

Participant and speaker at scientific conferences (including MICCAI, WiMob, PP-RAI), the Science for Society Congress, and study visits (MIT CSAIL, MathWorks). Author of publications on the use of machine learning methods for image analysis and medical data analysis.

mateusz.korycinski@nask.pl