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eess.IV2021
Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering
Karthik Shetty, Annette Birkhold, Norbert Strobel +4
Many minimally invasive interventional procedures still rely on 2D fluoroscopic imaging. Generating a patient-specific 3D model from these X-ray projection data would allow to impr…
eess.IV2019
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
Bernhard Egger, Markus D. Schirmer, Florian Dubost +3
We propose and demonstrate a joint model of anatomical shapes, image features and clinical indicators for statistical shape modeling and medical image analysis. The key idea is to…