Kirschke Lab

University Hospital Munich \Klinikum rechts der Isar\

Bayern (DE2) · Germany

ERC-funded
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ERC Consolidator Grant · 2021

Biomechanical modelling and computational imaging to identify different causes of back pain in large epidemiological studies

Chronic back pain is a major burden and source of disability worldwide. It is primarily attributed to different biomechanical factors, but can also have inflammatory, neurological or psychological causes. Clinical findings and conventional imaging cannot reliably distinguish different causes of back pain. In contrast, individual biomechanical models can quantify diverse (pathologic) loading patterns and thus could be used to distinguish different aetiologies of back pain, to better understand individual pathophysiology and guide preventive strategies. During my recent ERC-StG “iBack”, I developed quantitative imaging methods and deep-learning based image processing to automatically generate…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.

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