1. Kidney segmentation in renal magnetic resonance imaging - current status and prospectsFrank G. Zöllner, Marek Kociński, Laura L. Hansen, Alena-Kathrin Golla, Amira Šerifović-Trbalić, A. Lundervold, Andrzej Materka, Peter Rogelj, 2021, review article Keywords: renal MRI, image segmentation, deep learning Published in RUP: 04.06.2021; Views: 843; Downloads: 40 Link to full text |
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3. Image registration in dynamic renal MRI-current status and prospectsFrank G. Zöllner, Amira Šerifović-Trbalić, Gordian Kabelitz, Marek Kociński, Andrzej Materka, Peter Rogelj, 2020, review article Keywords: kidney disease, image registration, dynamic MRI, DCE-MRI, ASL Published in RUP: 18.03.2020; Views: 954; Downloads: 77 Link to full text |
4. Thermally modified (TM) beech wood : compression properties, fracture toughness and cohesive law in mode II obtained from the three-point end-notched flexure (3ENF) testVáclav Sebera, Miguel Redon, Martin Brabec, David Děcký, Petr Čermák, Jan Tippner, Jaromír Milch, 2019, original scientific article Keywords: beech, brittleness of wood, cohesive law, compliance-based beam method (CBBM), compressive elastic modulus, digital image correlation (DIC), equiva-lent crack length approach (ECLA), fracture, mode II, thermal modification, thermally modified wood (TMW), three-point end-notched flexure (3ENF) Published in RUP: 18.07.2019; Views: 1900; Downloads: 115 Link to full text |
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9. Ellipsoid segmentation model for analyzing light-attenuated 3D confocal image stacks of fluorescent multi-cellular spheroidsMichaël Barbier, Steffen Jaensch, Frans Cornelissen, Suzana Vidic, Kjersti Gjerde, Ronald de Hoogt, Ralph Graeser, Emmanuel Gustin, Yolanda T. Chong, 2016, original scientific article Keywords: 3D models, segmentation, confocal microscope, image analysis, fluorescence Published in RUP: 08.08.2016; Views: 2908; Downloads: 175 Link to full text |
10. Interactions between person's cognition, food and biological processes over multidisciplinary interventionMaša Černelič Bizjak, Mojca Stubelj, Zala Jenko Pražnikar, 2015, original scientific article Abstract: The aim of the present study was to explore interactions between food, cognition and biological processes in relation to health. Therefore, we assessenergy intake, total fat, protein and carbohydrate intake and negative cognition about body image and inflammation biomarkers over 6-month multidisciplinary intervention. The participants were evaluated at baseline and after the 6-month of intervention. 33 overweight and 33 obese adults completed a 6-month intervention trial to evaluate the effects of an individual dietary programme based on individual's resting metabolic rate on anthropometry, metabolic profile, and inflammation. Pearson's correlations were performed to investigate the possible associations between reductions in obesity, inflammation, dietary intakes with decrease in body dissatisfaction. Furthermore, hierarchical multiple regression analyses revealed that relative changes in obesity indicators accounted for 23% of the variation in reduction of inflammation biomarker C- reactive protein, changes in composition of diet 13% of variation and changes in negative cognition explained an additional 8% of the variation in inflammation level of CRP. Together the independent variables accounted for 44% of the variance in inflammation level of CRP. The important findings of the present study were that reduction in carbohydrate intake and increase in protein intake in diet, with more positive cognition about body image,significantly predicted a reduction in level of inflammation biomarker, measured with CRP. Changes in energy intake and total fat intake and physical activity did not predicted reduction of inflammation. Keywords: cognition, inflammation, CRP, intervention, image, obesity Published in RUP: 14.10.2015; Views: 3967; Downloads: 120 Link to full text |