Jasper N. Smit

TL;DR: A workflow consisting of multi-class segmentation combined with selective non-rigid registration that leads to sufficient accuracy for integration in computer assisted liver surgery is developed using a reduced 3D U-Net for segmentation, followed by non- Rigid coherent point drift (CPD) registration.

TL;DR: This method comprises a reduced filter 3D U-Net implementation to automatically detect hepatic vasculature in 3D US volumes based on electromagnetic tracking, comparing promising to literature and inter-observer performance.

TL;DR: In this article, the authors investigated the accuracy of intraoperative surgical guidance during open liver resection, with a semi-rigid organ approximation and electromagnetic tracking of the target area.

TL;DR: In this paper, a 3D ultrasound image was used to assess intra-operative margins of tongue cancer using the closest Euclidean distances between the segmented specimen and the tumour boundary.

TL;DR: This paper describes how 3D models of patient-specific liver anatomy based on diagnostic MRI images can be generated using open source software, and then subsequently integrated into a sterile surgical environment.