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Visualizing, Analyzing and Constructing L-System from Arborized 3D Model Using a Web Application
The focus of this paper is to combine 3D visualization, analysis and L-system abstraction into a single web application.
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
In this paper, we formulate registration and segmentation as a joint problem via a Multi-Task Learning (MTL) setting, allowing these tasks to leverage their strengths and mitigate their weaknesses through the sharing of beneficial information.
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
The obtained performance as well as the inference speed make this a promising candidate for daily re-contouring in adaptive radiotherapy, potentially reducing treatment-related side effects and improving quality-of-life after treatment.
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