Dr Mateusz Koryciński

Research interests: artificial intelligence, image analysis, AI in medicine

Mateusz Korycinski’s research interests mainly focus on image processing and the analysis of medical imaging data from Magnetic Resonance Imaging (MRI). During his PhD, he developed a tractography method to envision nerve fibres near the surgical field from Diffusion Tensor Imaging (DTI) data. The technique is currently being developed in various directions. One of them is the decision support system, which neurosurgeons will use in preoperative planning. He is actively cooperating in this project with the Department of Neurosurgery at the National Cancer Institute in Warsaw.

Previously, from 2012 to 2017, he was a research assistant at the Max-Planck Institute for Developmental Biology in Tuebingen. He was engaged there in basic research in bioinformatics and protein evolution.

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

mateusz.korycinski@nask.pl

Selected Publications

Articles

Mateusz Korycinski, Konrad Ciecierski, Ewa Niewiadomska-Szynkiewicz, "Neural fiber prediction with deep learning", 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Thessaloniki, Greece, 2022, 1-5.

See publication

Mateusz Koryciński, Konrad Ciecierski, “Tractography methods in preoperative neurosurgical planning”, Journal of Telecommunications and Information Technology, 3, 2021, 78–85.

See publication

Kamila Lis, Mateusz Koryciński, Konrad Ciecierski, "Classification of masked image data", PLOS One, 16(7), 2021, e0254181.

See publication