- 4D Flat Panel Conebeam CTA for Analysis of the Angioarchitecture of Cerebral AVMs with a Novel Software Prototype
4D flat panel conebeam CTA reconstructions allow detailed analysis of the nidal angioarchitecture of AVMs. Further improvements in temporal resolution and automated reconstruction techniques are needed to use the method generally in clinical practice.
- Development and Practical Implementation of a Deep Learning–Based Pipeline for Automated Pre- and Postoperative Glioma Segmentation
The authors show the feasibility and advantages of building a coordinated model with a clinical pipeline for the rapid and accurate deep learning segmentation of both preoperative and postoperative gliomas. The ability of the model to accommodate cases of postoperative glioma is clinically important for follow-up.
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