3 citations · 5 across the 5 of their papers we have counts for
5 papers
Automatic segmentation of colorectal liver metastases for ultrasound-based navigated resection
Tiziano Natali, Karin A. Olthof, Niels F. M. Kok +3
Introduction: Accurate intraoperative delineation of colorectal liver metastases (CRLM) is crucial for achieving negative resection margins but remains challenging using intraopera…
Navigated hepatic tumor resection using intraoperative ultrasound imaging
Karin Olthof, Theo Ruers, Tiziano Natali +6
Purpose: This proof-of-concept study evaluates feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike most conventional systems that rely…
Automated surgical planning with nnU-Net: delineation of the anatomy in hepatobiliary phase MRI
Karin A. Olthof, Matteo Fusagli, Bianca Güttner +6
Background: The aim of this study was to develop and evaluate a deep learning-based automated segmentation method for hepatic anatomy (i.e., parenchyma, tumors, portal vein, hepati…
Unifying Scale-Aware Depth Prediction and Perceptual Priors for Monocular Endoscope Pose Estimation and Tissue Reconstruction
Muzammil Khan, Enzo Kerkhof, Matteo Fusaglia +3
Accurate endoscope pose estimation and 3D tissue surface reconstruction significantly enhances monocular minimally invasive surgical procedures by enabling accurate navigation and…
Hepatic vessel segmentation using a reduced filter 3D U-Net in ultrasound imaging
Bart R. Thomson, Jasper Nijkamp, Oleksandra Ivashchenko +6
Accurate hepatic vessel segmentation on ultrasound (US) images can be an important tool in the planning and execution of surgery, however proves to be a challenging task due to noi…