modelowania oraz oceny perfuzji nerek

Publikacje

Najważniejsze publikacje, które powstały w wyniku realizacji projektu:

Publikacje w czasopismach:

1. Klepaczko Artur, Szczypinski Piotr, Strzelecki Michał, Stefanczyk Ludomir: Simulation of phase contrast angiography for renal arterial models. BIOMEDICAL ENGINEERING ONLINE, 2018, vol. 17, nr 41.
2. Klepaczko Artur, Szczypinski Piotr, Eikefjord Eli, Rorvik J., Lundervold Arvid: Estimating glomerular filtration rate of the kidney based on texture analysis of DCE-MRI images. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 2017, rocznik 30, nr 1, s. 388-389.
3. Klepaczko Artur, Szczypinski Piotr, Strzelecki Michał, Stefanczyk Ludomir: Towards simulation of 3D Phase Contrast imaging of kidney vasculatures. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 2017, rocznik 30, nr 1, s. 521-522.
4. Klepaczko Artur, Szczypinski Piotr, Deistung Andreas, Reichenbach J., Materka Andrzej: Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2016, rocznik 137.

Referaty konferencyjne:

1. Klepaczko Artur, Stefańczyk Ludomir, Predicting MR image appearance for realistic models of stenosed carotid and renal arteries, IEEE Conference Signal Processing: Algorithms, Architectures, Arrangements, and Applications, 2016, s. 327-332.
2. Korczyńska-Czurak Izabela, Klepaczko Artur, Szczypiński Piotr, Vessel tree surface modeling for blood flow simulation, IEEE Conference Signal Processing: Algorithms, Architectures, Arrangements, and Applications, 2017, s. 111-115.
3. Jurek Jakub i in., CFR-based clustering of pharmacokinetic curves from Dynamic Contrast-Enhanced MR images, IEEE Conference Signal Processing: Algorithms, Architectures, Arrangements, and Applications, 2018, s. 174-179.
4. Klepaczko Artur, Muszelska Martyna, Eikefjord Eli, Rørvik Jarle, Lundervold Arvid, Automated determination of arterial input function in DCE-MR images of the kidneyIEEE Conference Signal Processing: Algorithms, Architectures, Arrangements, and Applications, 2018, s. 280-285.
5. Klepaczko Artur, Skulimowski Piotr, Strzelecki Michał, Stefańczyk Ludomir, Eikefjord Eli, Rørvik Jarle, Lundervold Arvid, Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidneyIEEE Conference Signal Processing: Algorithms, Architectures, Arrangements, and Applications, 2018, s. 292-297.
6. Strzelecki Michał, Klepaczko Artur, Muszelska Martyna, Eikefjord Eli, Rørvik Jarle, Lundervold Arvid, An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneysIEEE Conference Signal Processing: Algorithms, Architectures, Arrangements, and Applications, 2018, s. 286-291.
7. Kociołek Marcin, Szczypiński Piotr, Klepaczko Artur, Functional kidney analysis based on textured DCE-MRI images, 7th International Conference Information Technology in Biomedicine (przyjęte do publikacji), 2019.
8. Szczypiński Piotr, Klepaczko Artur, Deformable mesh for regularization of three-dimensional image registration, 7th International Conference Information Technology in Biomedicine (przyjęte do publikacji), 2019.