Objective of the project

As part of the project, the company will conduct research on the measurement of anatomical structures in medical images in holographic space and automatic segmentation of arteries in CT data using the CarnaLife Holo application.

The Company is obliged to use the grant for conducting research, training, networking, project management activities and other indirect costs as well as costs related to hiring and maintaining two PhD students who will conduct research in cooperation with the Company.

Official website of the project: decodeitn.eu

Scientific publications:

[1] Zulfiqar M, Stanuch M, Wodzinski M, Skalski A. DRU-Net: “Pulmonary Artery Segmentation via Dense Residual U-Network with Hybrid Loss Function. Sensors. 2023; 23(12):5427.

[2] H. Saeed and A. Skalski, “A Robust Deterministic-Based Automatic Vessel Centerline Extraction Algorithm in 3-D Binary Volumes,” 2023 IEEE International Conference on Imaging Systems and Techniques (IST), Copenhagen, Denmark, 2023, pp. 1-6, doi: 10.1109/IST59124.2023.10355715.

[3] M. Zulfiqar, M. Stanuch and A. Skalski, “Preoperative planning for Coronary Artery Disease using 3D Segmentation and Mixed Reality,” 2023 IEEE International Conference on Imaging Systems and Techniques (IST), Copenhagen, Denmark, 2023, pp. 1-6, doi: 10.1109/IST59124.2023.10355732.