Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Denis Krajnc"'
Autor:
Laszlo Papp, Sazan Rasul, Clemens P. Spielvogel, Denis Krajnc, Nina Poetsch, Adelheid Woehrer, Eva-Maria Patronas, Boglarka Ecsedi, Julia Furtner, Markus Mitterhauser, Ivo Rausch, Georg Widhalm, Thomas Beyer, Marcus Hacker, Tatjana Traub-Weidinger
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionAmino-acid positron emission tomography (PET) is a validated metabolic imaging approach for the diagnostic work-up of gliomas. This study aimed to evaluate sex-specific radiomic characteristics of L-[S-methyl-11Cmethionine (MET)-PET image
Externí odkaz:
https://doaj.org/article/e7b98d09cc804db6aebfc134547b8950
Autor:
Denis Krajnc, Clemens P. Spielvogel, Marko Grahovac, Boglarka Ecsedi, Sazan Rasul, Nina Poetsch, Tatjana Traub-Weidinger, Alexander R. Haug, Zsombor Ritter, Hussain Alizadeh, Marcus Hacker, Thomas Beyer, Laszlo Papp
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundThis study proposes machine learning-driven data preparation (MLDP) for optimal data preparation (DP) prior to building prediction models for cancer cohorts.MethodsA collection of well-established DP methods were incorporated for building t
Externí odkaz:
https://doaj.org/article/9d72d02d75c847db9917f42867b12f8f
Autor:
Ena Hasimbegovic, Laszlo Papp, Marko Grahovac, Denis Krajnc, Thomas Poschner, Waseem Hasan, Martin Andreas, Christoph Gross, Andreas Strouhal, Georg Delle-Karth, Martin Grabenwöger, Christopher Adlbrecht, Markus Mach
Publikováno v:
Journal of Personalized Medicine, Vol 11, Iss 11, p 1062 (2021)
Transcatheter aortic valve replacement (TAVR) has rapidly become a viable alternative to the conventional isolated surgical aortic valve replacement (iSAVR) for treating severe symptomatic aortic stenosis. However, data on younger patients is scarce
Externí odkaz:
https://doaj.org/article/d6695260055c474b95d1d171dae217a8
Autor:
Gabriel Giardina, Alexander Micko, Daniela Bovenkamp, Arno Krause, Fabian Placzek, Laszlo Papp, Denis Krajnc, Clemens P. Spielvogel, Michael Winklehner, Romana Höftberger, Greisa Vila, Marco Andreana, Rainer Leitgeb, Wolfgang Drexler, Stefan Wolfsberger, Angelika Unterhuber
Publikováno v:
Cancers, Vol 13, Iss 13, p 3234 (2021)
Pituitary adenomas count among the most common intracranial tumors. During pituitary oncogenesis structural, textural, metabolic and molecular changes occur which can be revealed with our integrated ultrahigh-resolution multimodal imaging approach in
Externí odkaz:
https://doaj.org/article/ab6b2dff335348e0bf36510307a63dd9
Autor:
Denis Krajnc, Laszlo Papp, Thomas S. Nakuz, Heinrich F. Magometschnigg, Marko Grahovac, Clemens P. Spielvogel, Boglarka Ecsedi, Zsuzsanna Bago-Horvath, Alexander Haug, Georgios Karanikas, Thomas Beyer, Marcus Hacker, Thomas H. Helbich, Katja Pinker
Publikováno v:
Cancers, Vol 13, Iss 6, p 1249 (2021)
Background: This study investigated the performance of ensemble learning holomic models for the detection of breast cancer, receptor status, proliferation rate, and molecular subtypes from [18F]FDG-PET/CT images with and without incorporating data pr
Externí odkaz:
https://doaj.org/article/b98d193197ef4281a14f841935ddb536
Autor:
Meixin Zhao, Kilian Kluge, Laszlo Papp, Marko Grahovac, Shaomin Yang, Chunting Jiang, Denis Krajnc, Clemens P. Spielvogel, Boglarka Ecsedi, Alexander Haug, Shiwei Wang, Marcus Hacker, Weifang Zhang, Xiang Li
Publikováno v:
European Radiology. 32:7056-7067
This study investigates the ability of machine learning (ML) models trained on clinical data and 2-deoxy-2-[18F]fluoro-D-glucose(FDG) positron emission tomography/computed tomography (PET/CT) radiomics to predict overall survival (OS), tumor grade (T
Autor:
Laszlo Papp, David Haberl, Boglarka Ecsedi, Clemens Spielvogel, Denis Krajnc, Marko Grahovac, Sasan Moradi, Wolfgang Drexler
Modern artificial intelligence (AI) approaches mainly rely on neural network (NN) or deep NN methodologies. However, these approaches require large amounts of data to train, given, that the number of their trainable parameters has a polynomial relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30b1abcee47ad9c74b051b89fa5b2cae
https://doi.org/10.21203/rs.3.rs-2384764/v1
https://doi.org/10.21203/rs.3.rs-2384764/v1
Autor:
Marko Grahovac, Bernhard Grubmüller, Laszlo Papp, Clemens P. Spielvogel, Wolfgang Wadsak, Boglarka Ecsedi, S.F. Shariat, Markus Hartenbach, Thomas H. Helbich, Alexander Haug, Martin Susani, Markus Mitterhauser, Martina Hamboeck, Sabrina Hartenbach, D Mohamad, Reza Agha Mohammadi Sareshgi, Peter R. Mazal, Gero Kramer, Lukas Kenner, Thomas Beyer, M Hacker, Pascal A. T. Baltzer, Ivo Rausch, Denis Krajnc
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging
Purpose Risk classification of primary prostate cancer in clinical routine is mainly based on prostate-specific antigen (PSA) levels, Gleason scores from biopsy samples, and tumor-nodes-metastasis (TNM) staging. This study aimed to investigate the di
Autor:
Clemens P. Spielvogel, Stefan Stoiber, Laszlo Papp, Denis Krajnc, Marko Grahovac, Elisabeth Gurnhofer, Karolina Trachtova, Vojtech Bystry, Asha Leisser, Bernhard Jank, Julia Schnoell, Lorenz Kadletz, Gregor Heiduschka, Thomas Beyer, Marcus Hacker, Lukas Kenner, Alexander R. Haug
Publikováno v:
European journal of nuclear medicine and molecular imaging.
Purpose Head and neck squamous cell carcinomas (HNSCCs) are a molecularly, histologically, and clinically heterogeneous set of tumors originating from the mucosal epithelium of the oral cavity, pharynx, and larynx. This heterogeneous nature of HNSCC
Autor:
Robert Wille, Denis Krajnc, Christoph Brandner, Wolfgang Drexler, Stefan Hillmich, Laszlo Papp, Clemens P. Spielvogel, Sasan Moradi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Scientific Reports
Scientific Reports
Quantum machine learning has experienced significant progress in both software and hardware development in the recent years and has emerged as an applicable area of near-term quantum computers. In this work, we investigate the feasibility of utilizin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eafcaf1f83da90f7c06e9f768c82d211
https://doi.org/10.21203/rs.3.rs-942360/v1
https://doi.org/10.21203/rs.3.rs-942360/v1