DECODE.
A simulation and optimisation system for drug-coated balloons supporting the treatment of peripheral artery disease
Agreement number: 956470
Project goal.
Within the project, the company will carry out research into the measurement of anatomical structures in medical images in holographic space, and into the automatic segmentation of arteries in CT data using the CarnaLife Holo application.
The company is required to allocate the funding to research, training, networking, project management activities and other indirect costs, as well as to the costs of employing and supporting two doctoral candidates who will conduct research in cooperation with the company.
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.
The project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 956470.