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2020 – today
- 2021
[j2]Artur Klepaczko
, Eli Eikefjord, Arvid Lundervold:
Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics. Sensors 21(20): 6714 (2021)- [c4]Artur Klepaczko, Eli Eikefjord, Arvid Lundervold:
Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images. ICCS (3) 2021: 609-622
2010 – 2019
- 2018
- [c3]Artur Klepaczko, Martyna Muszelska, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold:
Automated determination of arterial input function in DCE-MR images of the kidney. SPA 2018: 280-285 - [c2]Michal Strzelecki, Artur Klepaczko, Martyna Muszelska, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold:
An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneys. SPA 2018: 286-291 - [c1]Artur Klepaczko, Piotr Skulimowski, Michal Strzelecki, Ludomir Stefanczyk, Eli Eikefjord, Jarle Rørvik, Arvid Lundervold:
Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney. SPA 2018: 292-297 - 2014
- [j1]Erlend Hodneland, Erik A. Hanson, Arvid Lundervold, Jan Modersitzki, Eli Eikefjord, Antonella Munthe-Kaas:
Segmentation-Driven Image Registration-Application to 4D DCE-MRI Recordings of the Moving Kidneys. IEEE Trans. Image Process. 23(5): 2392-2404 (2014)
Coauthor Index
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