Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Carlos Uziel Perez Malla"'
Autor:
Raheleh Sheibani-Tezerji, Carlos Uziel Perez Malla, Anna Malzer, Katarina Misura, Jessica Kalla, Loan Tran, Gabriel Wasinger, Gerda Egger
The identification of molecular determinants of prostate cancer development and progression represents a major clinical and biological undertaking. We integrated transcriptomic data of primary localized and advanced prostate cancer from two cancer da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b531a352d78dde1732fd71fa04994303
https://doi.org/10.1101/2023.03.02.530740
https://doi.org/10.1101/2023.03.02.530740
Autor:
Loan Tran, Raheleh Sheibani Tezerji, Carlos Uziel Perez Malla, Anna Malzer, Ajna Logo, Katarina Misura, Theresia Mair, Thomas Dillinger, Madeleine Kuroll, Velina Atanasova, Julijan Kabiljo, Helga Schachner, Katharina Wöran, Judith Stift, Helmut Dolznig, Walter Pulverer, Michael Bergmann, Gerda Egger
Publikováno v:
Cancer Research. 82:A011-A011
Colorectal cancer (CRC) is a major cause of cancer-related deaths worldwide. Here, we established human patient-derived colorectal cancer organoid cultures (PDOs) to decipher the patient-specific DNA methylation profile and drug sensitivity towards 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaa96af9452ea3e1637f48b3b7c56142
https://doi.org/10.1158/1538-7445.cancepi22-a011
https://doi.org/10.1158/1538-7445.cancepi22-a011
Autor:
Muhammad Febrian Rachmadi, Taku Komura, Carlos Uziel Perez Malla, Maria del C. Valdés-Hernández
Publikováno v:
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics, Vol 13 (2019)
Pérez Malla, C U, Valdés Hernández, M D C, Rachmadi, M F & Komura, T 2019, ' Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme ', Frontiers in Neuroinformatics, vol. 13, 33 . https://doi.org/10.3389/fninf.2019.00033
Frontiers in Neuroinformatics, Vol 13 (2019)
Pérez Malla, C U, Valdés Hernández, M D C, Rachmadi, M F & Komura, T 2019, ' Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme ', Frontiers in Neuroinformatics, vol. 13, 33 . https://doi.org/10.3389/fninf.2019.00033
Magnetic resonance (MR) perfusion imaging non-invasively measures cerebral perfusion, which describes the blood’s passage through the brain’s vascular network. Therefore it is widely used to assess cerebral ischaemia. Convolutional Neural Network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c0d0d56d4f452b44bd74dbfc4f72493
https://pubmed.ncbi.nlm.nih.gov/31191282
https://pubmed.ncbi.nlm.nih.gov/31191282
Autor:
Thomas Dillinger, Raheleh Sheibani-Tezerji, Walter Pulverer, Ines Stelzer, Melanie R. Hassler, Janine Scheibelreiter, Carlos Uziel Pérez Malla, Madeleine Kuroll, Sandra Domazet, Elisa Redl, Sarah Ely, Stefanie Brezina, Andreas Tiefenbacher, Katharina Rebhan, Nicolai Hübner, Bernhard Grubmüller, Markus Mitterhauser, Marcus Hacker, Andreas Weinhaeusel, Judit Simon, Markus Zeitlinger, Andrea Gsur, Gero Kramer, Shahrokh F. Shariat, Lukas Kenner, Gerda Egger
Publikováno v:
Molecular Cancer, Vol 21, Iss 1, Pp 1-8 (2022)
Externí odkaz:
https://doaj.org/article/e7cd2e9f7a7d44b397802c49e598064c
Autor:
Carlos Uziel Pérez Malla, Maria del C. Valdés Hernández, Muhammad Febrian Rachmadi, Taku Komura
Publikováno v:
Frontiers in Neuroinformatics, Vol 13 (2019)
Magnetic resonance (MR) perfusion imaging non-invasively measures cerebral perfusion, which describes the blood's passage through the brain's vascular network. Therefore, it is widely used to assess cerebral ischaemia. Convolutional Neural Networks (
Externí odkaz:
https://doaj.org/article/3a1f7d208d15491f8c3abdf2d0ba48b1