Purpose: Neuronavigation based on preoperative imaging data is a ubiquitous tool for image guidance in neurosurgery. However, it is rendered unreliable when brain shift …
J Yang, C Lou, J Fu, C Feng - Computerized Medical Imaging and …, 2020 - Elsevier
Vessel segmentation has always been a considerable challenge task due to the presence of varying thickness of the vessels and weak contrasts of medical image intensities. In this …
X Li, R Bala, V Monga - IEEE Transactions on Image …, 2022 - ieeexplore.ieee.org
Deep learning has enabled significant improvements in the accuracy of 3D blood vessel segmentation. Open challenges remain in scenarios where labeled 3D segmentation maps …
A Segato, V Pieri, A Favaro, M Riva, A Falini… - Frontiers in Robotics …, 2019 - frontiersin.org
Deep Brain Stimulation (DBS) is a neurosurgical procedure consisting in the stereotactic implantation of stimulation electrodes to specific brain targets, such as deep gray matter …
Purpose Magnetic resonance elastography (MRE) uses phase‐contrast MRI to generate mechanical property maps of the in vivo brain through imaging of tissue deformation from …
Despite the benefits introduced by robotic systems in abdominal Minimally Invasive Surgery (MIS), major complications can still affect the outcome of the procedure, such as intra …
In abdominal surgery, intraoperative bleeding is one of the major complications that affect the outcome of minimally invasive surgical procedures. One of the causes is attributed to …
The development of bioelectronic neural implant technologies has advanced significantly over the past 5 years, particularly in brain–machine interfaces and electronic medicine …
X Yang, S Narasimhan, M Luo… - Journal of Medical …, 2019 - spiedigitallibrary.org
Conventional optical tracking systems use cameras sensitive to near-infrared (NIR) light and NIR illuminated/active-illuminating markers to localize instrumentation and the patient in the …