Zobrazeno 1 - 10
of 2 116
pro vyhledávání: '"Wagner, Birgit"'
Autor:
Ketabi, Sara, Wagner, Matthias W., Hawkins, Cynthia, Tabori, Uri, Ertl-Wagner, Birgit Betina, Khalvati, Farzad
Despite the promising performance of convolutional neural networks (CNNs) in brain tumor diagnosis from magnetic resonance imaging (MRI), their integration into the clinical workflow has been limited. That is mainly due to the fact that the features
Externí odkaz:
http://arxiv.org/abs/2411.00609
(1) Background: The aim of the present study was to examine symptom classes of major depressive disorder (MDD), prolonged grief disorder (PGD), and posttraumatic stress disorder (PTSD) in a sample of suicide-bereaved individuals, while accounting for
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A88436
https://ul.qucosa.de/api/qucosa%3A88436/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A88436/attachment/ATT-0/
Background: Police officers are at high risk for mental and physical health problems and suicidal ideation. The specific risk factors are numerous and concern stressful missions and administrative aspects of the police profession. So far, the police
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84490
https://ul.qucosa.de/api/qucosa%3A84490/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84490/attachment/ATT-0/
Autor:
Namdar, Khashayar, Wagner, Matthias W., Hawkins, Cynthia, Tabori, Uri, Ertl-Wagner, Birgit B., Khalvati, Farzad
Pediatric Low-Grade Neuroepithelial Tumors (PLGNT) are the most common pediatric cancer type, accounting for 40% of brain tumors in children, and identifying PLGNT molecular subtype is crucial for treatment planning. However, the gold standard to det
Externí odkaz:
http://arxiv.org/abs/2402.03547
Autor:
Zhou, Meng, Wagner, Matthias W, Tabori, Uri, Hawkins, Cynthia, Ertl-Wagner, Birgit B, Khalvati, Farzad
Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating realistic and diverse images that can augment training datasets. However,
Externí odkaz:
http://arxiv.org/abs/2310.01251
Autor:
Yoo, Jay J., Namdar, Khashayar, Wagner, Matthias W., Nobre, Liana, Tabori, Uri, Hawkins, Cynthia, Ertl-Wagner, Birgit B., Khalvati, Farzad
Segmentation of regions of interest (ROIs) for identifying abnormalities is a leading problem in medical imaging. Using machine learning for this problem generally requires manually annotated ground-truth segmentations, demanding extensive time and r
Externí odkaz:
http://arxiv.org/abs/2211.05269
Publikováno v:
Journal of Medical Internet Research, Vol 17, Iss 3, p e71 (2015)
BackgroundIn recent years, armed conflicts in the Middle East have resulted in high rates of exposure to traumatic events. Despite the increasing demand of mental health care provision, ongoing violence limits conventional approaches of mental health
Externí odkaz:
https://doaj.org/article/93b5086252a743cda3da0dc2de942762
