Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Skalski Andrzej"'
Publikováno v:
Metrology and Measurement Systems, Vol 24, Iss 1, Pp 3-18 (2017)
Minimally invasive procedures for the kidney tumour removal require a 3D visualization of topological relations between kidney, cancer, the pelvicalyceal system and the renal vascular tree. In this paper, a novel methodology of the pelvicalyceal syst
Externí odkaz:
https://doaj.org/article/a36820d21c7640b18dd19f940f10081c
Publikováno v:
Metrology and Measurement Systems, Vol 24, Iss 1, Pp 101-112 (2017)
With development of medical diagnostic and imaging techniques the sparing surgeries are facilitated. Renal cancer is one of examples. In order to minimize the amount of healthy kidney removed during the treatment procedure, it is essential to design
Externí odkaz:
https://doaj.org/article/ef82540f6d134e61aeeeed4c403f6519
Autor:
Skalski Andrzej, Machura Bartosz
Publikováno v:
Metrology and Measurement Systems, Vol 22, Iss 4, Pp 469-478 (2015)
This paper presents a comprehensive metrological analysis of the Microsoft Kinect motion sensor performed using a proprietary flat marker. The designed marker was used to estimate its position in the external coordinate system associated with the sen
Externí odkaz:
https://doaj.org/article/668c22c71aff44e9baeb240bf3126874
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 25, Iss 3, Pp 631-643 (2015)
Automatic detection of voice pathologies enables non-invasive, low cost and objective assessments of the presence of disorders, as well as accelerating and improving the process of diagnosis and clinical treatment given to patients. In this work, a v
Externí odkaz:
https://doaj.org/article/5aed07aaff8f4d68b9d1e0036e9eb414
Autor:
Saeed, Hassan1,2 (AUTHOR) hsaeed@agh.edu.pl, Skalski, Andrzej1,2 (AUTHOR) skalski@agh.edu.pl
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6441. 19p.
Autor:
Wodzinski, Marek, Daniol, Mateusz, Socha, Miroslaw, Hemmerling, Daria, Stanuch, Maciej, Skalski, Andrzej
The goal of this work is to propose a robust, fast, and fully automatic method for personalized cranial defect reconstruction and implant modeling. We propose a two-step deep learning-based method using a modified U-Net architecture to perform the de
Externí odkaz:
http://arxiv.org/abs/2204.06310
Autor:
Wodzinski, Marek, Skalski, Andrzej
In this paper, we present a short description of the method proposed to ANHIR challenge organized jointly with the IEEE ISBI 2019 conference. We propose a method consisting of preprocessing, initial alignment, nonrigid registration algorithms and a m
Externí odkaz:
http://arxiv.org/abs/1904.00982
Publikováno v:
In Microelectronics Reliability September 2022 136
Autor:
Sikorska, Miroslawa, Skalski, Andrzej, Wodzinski, Marek, Witkowski, Alexander, Pellacani, Giovanni, Ludzik, Joanna
Publikováno v:
In Biocybernetics and Biomedical Engineering July-September 2021 41(3):880-890
Publikováno v:
Cancers; May2024, Vol. 16 Issue 10, p1894, 15p