A systematic review of 10 years of augmented reality usability studies: 2005 to 2014

A Dey, M Billinghurst, RW Lindeman… - Frontiers in Robotics and …, 2018 - frontiersin.org
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 …

Superior longitudinal fasciculus: a review of the anatomical descriptions with functional correlates

F Janelle, C Iorio-Morin, S D'amour, D Fortin - Frontiers in Neurology, 2022 - frontiersin.org
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 …

A survey of MRI-based medical image analysis for brain tumor studies

S Bauer, R Wiest, LP Nolte… - Physics in Medicine & …, 2013 - iopscience.iop.org
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 …

Weighted graph comparison techniques for brain connectivity analysis

B Alper, B Bach, N Henry Riche, T Isenberg… - Proceedings of the …, 2013 - dl.acm.org
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 …

[HTML][HTML] Challenges and techniques for presurgical brain map** with functional MRI

MA Silva, AP See, WI Essayed, AJ Golby, Y Tie - NeuroImage: Clinical, 2018 - Elsevier
Functional magnetic resonance imaging (fMRI) is increasingly used for preoperative
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

LJ O'Donnell, Y Suter, L Rigolo, P Kahali, F Zhang… - NeuroImage: Clinical, 2017 - Elsevier
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 …

[KNIHA][B] Visual computing for medicine: theory, algorithms, and applications

B Preim, CP Botha - 2013 - books.google.com
Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques
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

L Xu, H Zhang, J Wang, A Li, S Song, H Ren, L Qi… - Information …, 2023 - Elsevier
Surgical navigation technology provides minimally invasive surgery (MIS) with the relative
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

BM Cobbinah, C Sorg, Q Yang, A Ternblom… - Medical image …, 2022 - Elsevier
Based on brain magnetic resonance imaging (MRI), multiple variations ranging from MRI
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

DCDA Bastos, P Juvekar, Y Tie, N Jowkar… - Frontiers in …, 2021 - frontiersin.org
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 …