A systematic review of 10 years of augmented reality usability studies: 2005 to 2014
Augmented Reality (AR) interfaces have been studied extensively over the last few decades,
with a growing number of user-based experiments. In this paper, we systematically review …
with a growing number of user-based experiments. In this paper, we systematically review …
Superior longitudinal fasciculus: a review of the anatomical descriptions with functional correlates
The superior longitudinal fasciculus (SLF) is part of the longitudinal association fiber system,
which lays connections between the frontal lobe and other areas of the ipsilateral …
which lays connections between the frontal lobe and other areas of the ipsilateral …
A survey of MRI-based medical image analysis for brain tumor studies
MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …
times due to an increased need for efficient and objective evaluation of large amounts of …
Weighted graph comparison techniques for brain connectivity analysis
The analysis of brain connectivity is a vast field in neuroscience with a frequent use of visual
representations and an increasing need for visual analysis tools. Based on an in-depth …
representations and an increasing need for visual analysis tools. Based on an in-depth …
[HTML][HTML] Challenges and techniques for presurgical brain map** with functional MRI
Functional magnetic resonance imaging (fMRI) is increasingly used for preoperative
counseling and planning, and intraoperative guidance for tumor resection in the eloquent …
counseling and planning, and intraoperative guidance for tumor resection in the eloquent …
[HTML][HTML] Automated white matter fiber tract identification in patients with brain tumors
We propose a method for the automated identification of key white matter fiber tracts for
neurosurgical planning, and we apply the method in a retrospective study of 18 consecutive …
neurosurgical planning, and we apply the method in a retrospective study of 18 consecutive …
[KNIHA][B] Visual computing for medicine: theory, algorithms, and applications
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
and their applications in medical diagnosis, education, and treatment. The book includes …
and their applications in medical diagnosis, education, and treatment. The book includes …
Information loss challenges in surgical navigation systems: From information fusion to AI-based approaches
Surgical navigation technology provides minimally invasive surgery (MIS) with the relative
pose relationships amongst medical images, surgical instruments, and lesions. On the other …
pose relationships amongst medical images, surgical instruments, and lesions. On the other …
Reducing variations in multi-center Alzheimer's disease classification with convolutional adversarial autoencoder
Based on brain magnetic resonance imaging (MRI), multiple variations ranging from MRI
scanners to center-specific parameter settings, imaging protocols, and brain region-of …
scanners to center-specific parameter settings, imaging protocols, and brain region-of …
Challenges and opportunities of intraoperative 3D ultrasound with neuronavigation in relation to intraoperative MRI
Introduction Neuronavigation greatly improves the surgeon's ability to approach, assess and
operate on brain tumors, but tends to lose its accuracy as the surgery progresses and …
operate on brain tumors, but tends to lose its accuracy as the surgery progresses and …