Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Pál Novák"'
Autor:
Ibolyka Dudás, Leona Schultz, Márton Benke, Ákos Szücs, Pál Novák Kaposi, Attila Szijártó, Pál Maurovich-Horvat, Bettina Katalin Budai
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Background Spectral imaging of photon-counting detector CT (PCD-CT) scanners allows for generating virtual non-contrast (VNC) reconstruction. By analyzing 12 abdominal organs, we aimed to test the reliability of VNC reconstructions in preser
Externí odkaz:
https://doaj.org/article/104b7726791940858a83112538d52b9b
Autor:
Zita Zsombor, Boglárka Zsély, Aladár D. Rónaszéki, Róbert Stollmayer, Bettina K. Budai, Lőrinc Palotás, Viktor Bérczi, Ildikó Kalina, Pál Maurovich Horvat, Pál Novák Kaposi
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1138 (2024)
(1) Background: Open-source software tools are available to estimate proton density fat fraction (PDFF). (2) Methods: We compared four algorithms: complex-based with graph cut (GC), magnitude-based (MAG), magnitude-only estimation with Rician noise m
Externí odkaz:
https://doaj.org/article/e8e9e274d98b4471a6273e1aa36c7c8f
Autor:
Pál Novák
Publikováno v:
Közigazgatási és Infokommunikációs Jogi PhD Tanulmányok, Vol 4, Iss 1 (2023)
E-sports offer a career opportunity, a life goal, for many people. In this industry, the pressing question of whether it qualifies as a sport or not often arises, but one aspect rarely examined within professional boundaries is the legal standpoint.
Externí odkaz:
https://doaj.org/article/67322880cfc746b1aaf61e2354cb3b27
Autor:
Pál Novák Kaposi, Zita Zsombor, Aladár D. Rónaszéki, Bettina K. Budai, Barbara Csongrády, Róbert Stollmayer, Ildikó Kalina, Gabriella Győri, Viktor Bérczi, Klára Werling, Pál Maurovich-Horvat, Anikó Folhoffer, Krisztina Hagymási
Publikováno v:
Diagnostics, Vol 13, Iss 21, p 3353 (2023)
We aimed to develop a non-linear regression model that could predict the fat fraction of the liver (UEFF), similar to magnetic resonance imaging proton density fat fraction (MRI-PDFF), based on quantitative ultrasound (QUS) parameters. We measured an
Externí odkaz:
https://doaj.org/article/e009ad8577794582b13a2cc867bc496f
Autor:
Bettina Katalin Budai, Róbert Stollmayer, Aladár Dávid Rónaszéki, Borbála Körmendy, Zita Zsombor, Lõrinc Palotás, Bence Fejér, Attila Szendrõi, Eszter Székely, Pál Maurovich-Horvat, Pál Novák Kaposi
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
IntroductionThis study aimed to construct a radiomics-based machine learning (ML) model for differentiation between non-clear cell and clear cell renal cell carcinomas (ccRCC) that is robust against institutional imaging protocols and scanners.Materi
Externí odkaz:
https://doaj.org/article/d8f08b9efde544eca3fd579fd84fa3c9
Autor:
Bettina Katalin Budai, Ambrus Tóth, Petra Borsos, Veronica Grace Frank, Sonaz Shariati, Bence Fejér, Anikó Folhoffer, Ferenc Szalay, Viktor Bérczi, Pál Novák Kaposi
Publikováno v:
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background CT texture analysis (CTTA) has been successfully used to assess tissue heterogeneity in multiple diseases. The purpose of this work is to demonstrate the value of three-dimensional CTTA in the evaluation of diffuse liver disease.
Externí odkaz:
https://doaj.org/article/188732680e9e478284b2558f8a41a01d
Autor:
Zita Zsombor, Aladár D. Rónaszéki, Barbara Csongrády, Róbert Stollmayer, Bettina K. Budai, Anikó Folhoffer, Ildikó Kalina, Gabriella Győri, Viktor Bérczi, Pál Maurovich-Horvat, Krisztina Hagymási, Pál Novák Kaposi
Publikováno v:
Medicina, Vol 59, Iss 3, p 469 (2023)
Background and Objectives: This study aims to evaluate artificial intelligence-calculated hepatorenal index (AI-HRI) as a diagnostic method for hepatic steatosis. Materials and Methods: We prospectively enrolled 102 patients with clinically suspected
Externí odkaz:
https://doaj.org/article/88c03b965180467599fc868d39736254
Autor:
Róbert Stollmayer, Bettina Katalin Budai, Aladár Rónaszéki, Zita Zsombor, Ildikó Kalina, Erika Hartmann, Gábor Tóth, Péter Szoldán, Viktor Bérczi, Pál Maurovich-Horvat, Pál Novák Kaposi
Publikováno v:
Cells, Vol 11, Iss 9, p 1558 (2022)
Liver tumors constitute a major part of the global disease burden, often making regular imaging follow-up necessary. Recently, deep learning (DL) has increasingly been applied in this research area. How these methods could facilitate report writing i
Externí odkaz:
https://doaj.org/article/8329d365809d4588bd0b593f04d8289e
Akademický článek
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Autor:
Kaposi, Pál Novák1 (AUTHOR) kaposi.pal@semmelweis.hu, Zsombor, Zita1 (AUTHOR) ronaszeki.aladar.david@semmelweis.hu, Rónaszéki, Aladár D.1 (AUTHOR) budai.bettina@med.semmelweis-univ.hu, Budai, Bettina K.1 (AUTHOR) csongrady.barbara@stud.semmelweis.hu, Csongrády, Barbara1 (AUTHOR) stollmayer.robert@stud.semmelweis.hu, Stollmayer, Róbert1 (AUTHOR) kalina.ildiko@semmelweis.hu, Kalina, Ildikó1 (AUTHOR) gyori.gabriella@semmelweis.hu, Győri, Gabriella1 (AUTHOR) berczi.viktor@semmelweis.hu, Bérczi, Viktor1 (AUTHOR) maurovich-horvat.pal@med.semmelweis-univ.hu, Werling, Klára2 (AUTHOR) werling.klara@med.semmelweis-univ.hu, Maurovich-Horvat, Pál1 (AUTHOR), Folhoffer, Anikó3 (AUTHOR) folhoffer.aniko@med.semmelweis-univ.hu, Hagymási, Krisztina2 (AUTHOR) hagymasi.krisztina@med.semmelweis-univ.hu
Publikováno v:
Diagnostics (2075-4418). Nov2023, Vol. 13 Issue 21, p3353. 15p.