Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Anna Latysheva"'
Autor:
Pitt Niehusmann, Henning Leske, Vigdis Nygaard, Hege G. Russnes, Sen Zhao, Anna Latysheva, Ulrikke Straume Wiig, Birute Stankuniene, Aina Ulvmoen
Publikováno v:
Acta Oncologica, Vol 63, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/1383b9794ce14970967604ea592810c1
Autor:
Jon André Ottesen, Darvin Yi, Elizabeth Tong, Michael Iv, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Atle Bjørnerud, Greg Zaharchuk, Endre Grøvik
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2023)
IntroductionManagement of patients with brain metastases is often based on manual lesion detection and segmentation by an expert reader. This is a time- and labor-intensive process, and to that end, this work proposes an end-to-end deep learning segm
Externí odkaz:
https://doaj.org/article/bec8b73eb0fa4d7f918f7a95d9a3719f
Autor:
Endre Grøvik, Darvin Yi, Michael Iv, Elizabeth Tong, Line Brennhaug Nilsen, Anna Latysheva, Cathrine Saxhaug, Kari Dolven Jacobsen, Åslaug Helland, Kyrre Eeg Emblem, Daniel L. Rubin, Greg Zaharchuk
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)
Abstract The purpose of this study was to assess the clinical value of a deep learning (DL) model for automatic detection and segmentation of brain metastases, in which a neural network is trained on four distinct MRI sequences using an input-level d
Externí odkaz:
https://doaj.org/article/6170801e8ab643338693ba66c6b19279
Autor:
Jasmin Čolić, Anna Latysheva, Tyler R. Bassett, Christian Imboden, Klaus Bader, Martin Hatzinger, Thorsten Mikoteit, Andrea Hans Meyer, Roselind Lieb, Andrew T. Gloster, Jürgen Hoyer
Publikováno v:
Clinical Psychology in Europe, Vol 2, Iss 4 (2020)
[Background] Post-event processing (PEP) after social interactions (SIs) contributes to the persistence of social phobia (SP). This study investigated whether PEP as a transdiagnostic process also occurs in major depressive disorder (MDD) and control
Externí odkaz:
https://doaj.org/article/6f6f074080634aff99c3e55b072692a8
Autor:
Jasmin Čolić, Tyler Ray Bassett, Anna Latysheva, Christian Imboden, Klaus Bader, Martin Hatzinger, Thorsten Mikoteit, Andrea Hans Meyer, Roselind Lieb, Andrew Gloster, Jürgen Hoyer
Publikováno v:
Journal of Social and Clinical Psychology. 41:105-127
Introduction: Embarrassment is a social affect. Once experienced in social interactions (SIs), it can be a precursor of clinical symptoms like depersonalization and ruminative thinking. This experience sampling study investigated predictors of embarr
Autor:
Anna Latysheva
Publikováno v:
Bulletin of the South Ural State University series "Economics and Management". 16:141-149
In the conditions of Russia's transition to the market model of economic management and the global financial crisis, those economic entities, which have several business segments, successfully operate because they diversify their risks. In this conne
Autor:
Siri Fløgstad Svensson, Skarphéðinn Halldórsson, Anna Latysheva, Elies Fuster-Garcia, Trine Hjørnevik, Jorunn Fraser-Green, Robin Anthony Birkeland Bugge, Jack Grinband, Sverre Holm, Ralph Sinkus, Einar Osland Vik-Mo, Kyrre Eeg Emblem
BackgroundThe biomechanical tissue properties of glioblastoma tumors are heterogeneous, but the molecular mechanisms involved and the biological implications are poorly understood. Here, we combine magnetic resonance elastography (MRE) measurement of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1605764979fbef018f10d15f5bafc297
https://doi.org/10.1101/2022.11.07.22282021
https://doi.org/10.1101/2022.11.07.22282021
Autor:
Michael, Åslaug Helland, Daniel L. Rubin, Darvin Yi, Anna Latysheva, Line Brennhaug Nilsen, Endre Grøvik, Cathrine Saxhaug, Elizabeth Tong, Kari Dolven Jacobsen, Greg Zaharchuk, Kyrre E. Emblem
Publikováno v:
Medical Physics. 48:6020-6035
Purpose Magnetic resonance (MR) imaging is an essential diagnostic tool in clinical medicine. Recently, a variety of deep-learning methods have been applied to segmentation tasks in medical images, with promising results for computer-aided diagnosis.
Autor:
Åslaug Helland, Kari Dolven Jacobsen, Endre Grøvik, Greg Zaharchuk, Michael, Kyrre E. Emblem, Daniel L. Rubin, Elizabeth Tong, Line Brennhaug Nilsen, Cathrine Saxhaug, Darvin Yi, Anna Latysheva
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)
npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)
The purpose of this study was to assess the clinical value of a deep learning (DL) model for automatic detection and segmentation of brain metastases, in which a neural network is trained on four distinct MRI sequences using an input-level dropout la
Publikováno v:
MedRxiv preprin server