The results suggest that extending this approach to full treatment prediction is feasible but requires further investigation, and the acceleration of 4D treatment generation via pencil beam weight prediction takes us one step closer to the feasibility of treating mobile targets with simplified, gantry-less and magnet-f...
Nair N. von Muehlenen, Florentin Bieder, P. Cattin· 0 citations
A three-stage framework that consists of an implicit neural representation (INR) for estimating missing parts of the truncated projection data, an iterative reconstruction for generating a secondary volumetric image with improved anatomical consistency and a fast diffusion model for image enhancement is proposed.
Susanne Schaub, Florentin Bieder, Matheus L. Oliveira et al.· 0 citations
A fully automated multimodal deep learning framework that jointly analyzes 3D contrast enhanced CT and structured clinical information to classify patients into the three National Comprehensive Cancer Network resectability categories (upfront resectable, borderline resectable, locally advanced).
V. Ochs, C. Kuemmerli, Florentin Bieder et al.· 0 citations
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