9 Result(s)
within
Chapter
Daniel Stromer
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Chapter and Conference Paper
Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging
Chronic wounds including diabetic and arterial/venous insufficiency injuries have become a major burden for healthcare systems worldwide. Demographic changes suggest that wound care will play an even bigger ro...
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Chapter and Conference Paper
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging
Neuromuscular diseases (NMDs) cause a significant burden for both healthcare systems and society. They can lead to severe progressive muscle weakness, muscle degeneration, contracture, deformity and progressiv...
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Chapter and Conference Paper
Abstract: Maximum A-posteriori Signal Recovery for OCT Angiography Image Generation
Optical coherence tomography angiography (OCTA) is a clinically promising modality to image retinal vasculature. For this end, optical coherence tomography (OCT) volumes are repeatedly scanned and intensity ch...
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Chapter and Conference Paper
Abstract: Automatic Dementia Screening and Scoring by Applying Deep Learning on Clock-drawing Tests
Dementia is one of the most common neurological syndromes in the world. Usually, diagnoses are made based on paper-and-pencil tests and scored by personal judgments of experts. This technique can introduce err...
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Chapter and Conference Paper
Compressed Sensing for Optical Coherence Tomography Angiography Volume Generation
Optical coherence tomography angiography (OCTA) is an increasingly popular modality for imaging of the retinal vasculature. Repeated optical coherence tomography (OCT) scans of the retina allow the computation...
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Chapter and Conference Paper
Segmentation of Fat and Fascias in Canine Ultrasound Images
The connective tissue between fat and muscle termed fascia has been of interest to the recent clinical and biological research. However, in the canine and human medicine, the anatomic knowledge is still limite...
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Chapter and Conference Paper
Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model
This paper investigates the application of the shift-variant data loss (SVDL) model in image quality assessment for a state-of-theart reconstruction technique, the weighted total variation (wTV), in limited an...
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Chapter and Conference Paper
Data Completeness Estimation for 3D C-Arm Scans with Rotated Detector to Enlarge the Lateral Field-of-View
In this paper, we describe a method to enlarge the field-ofview of those scan modes by rotating the detector such that instead of the detector width the diagonal of the detector limits the lateral field-of-vie...
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Chapter
Approximation der Projektionsmatrizen einer C-Bogen 3D-Fahrt anhand der Odometriedaten
Bei aktuellen boden-montierten C-Bogen Röntgengeräten wird durch eine neue Motorsteuerungstechnologie die Aufnahme der Odometriedaten ermöglicht. In dieser Arbeit wird ein Algorithmus beschrieben, der anhand e...
