Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Andre Wirries"'
Publikováno v:
Diagnostics, Vol 12, Iss 4, p 836 (2022)
In recent years, applications using artificial intelligence have been gaining importance in the diagnosis and treatment of spinal diseases. In our review, we describe the basic features of artificial intelligence which are currently applied in the fi
Externí odkaz:
https://doaj.org/article/202b6c4d359d45ada8c7110e495e5aed
Autor:
Christoph Neuner, Roland Coras, Ingmar Blümcke, Alexander Popp, Sven M. Schlaffer, Andre Wirries, Michael Buchfelder, Samir Jabari
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 13 (2021)
Background: Processing whole-slide images (WSI) to train neural networks can be intricate and labor intensive. We developed an open-source library dealing with recurrent tasks in the processing of WSI and helping with the training and evaluation of n
Externí odkaz:
https://doaj.org/article/3de65950f13b4505bb6aa46086633bf9
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 14, Iss 1, Pp 1-21 (2019)
Abstract Study design This study is a comparative, literature review. Objective The aim of this study is to provide a comparative analysis of open vs. minimally invasive TLIF using a literature review and a meta-analysis. Summary of background data L
Externí odkaz:
https://doaj.org/article/d9c6bee8731e4f0dae01cb159001f068
Autor:
André Wirries, Florian Geiger, Ahmed Hammad, Martin Bäumlein, Julia Nadine Schmeller, Ingmar Blümcke, Samir Jabari
Publikováno v:
Biomedicines, Vol 10, Iss 6, p 1319 (2022)
The treatment options for neuropathic pain caused by lumbar disc herniation have been debated controversially in the literature. Whether surgical or conservative therapy makes more sense in individual cases can hardly be answered. We have investigate
Externí odkaz:
https://doaj.org/article/eec0410d36014e0ca8739dd50d8cbc40
Autor:
André Wirries, Florian Geiger, Ahmed Hammad, Andreas Redder, Ludwig Oberkircher, Steffen Ruchholtz, Ingmar Bluemcke, Samir Jabari
Publikováno v:
Diagnostics, Vol 11, Iss 11, p 1934 (2021)
Patients with back pain are common and present a challenge in everyday medical practice due to the multitude of possible causes and the individual effects of treatments. Predicting causes and therapy efficien cy with the help of artificial intelligen
Externí odkaz:
https://doaj.org/article/01cc7a365c33491e8bf35bd05d1831db