[HTML][HTML] Enhancing the functionality of augmented reality using deep learning, semantic web and knowledge graphs: A review

G Lampropoulos, E Keramopoulos, K Diamantaras - Visual Informatics, 2020 - Elsevier
The growth rates of today's societies and the rapid advances in technology have led to the
need for access to dynamic, adaptive and personalized information in real time. Augmented …

Deep learning in mesoscale brain microscopy image analysis: A review

R Chen, M Liu, W Chen, Y Wang, E Meijering - Computers in Biology and …, 2023 - Elsevier
Mesoscale microscopy images of the brain contain a wealth of information which can help
us understand the working mechanisms of the brain. However, it is a challenging task to …

Highlights from the era of open source web-based tools

KR Anderson, JA Harris, L Ng, P Prins… - Journal of …, 2021 - Soc Neuroscience
High digital connectivity and a focus on reproducibility are contributing to an open science
revolution in neuroscience. Repositories and platforms have emerged across the whole …

Graph representation learning for large-scale neuronal morphological analysis

J Zhao, X Chen, Z **ong, ZJ Zha… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The analysis of neuronal morphological data is essential to investigate the neuronal
properties and brain mechanisms. The complex morphologies, absence of annotations, and …

[HTML][HTML] Augmented reality with HoloLens® in parotid tumor surgery: a prospective feasibility study

C Scherl, J Stratemeier, N Rotter, J Hesser… - ORL, 2021 - karger.com
Introduction: Augmented reality can improve planning and execution of surgical procedures.
Head-mounted devices such as the HoloLens®(Microsoft, Redmond, WA, USA) are …

A feasibility study of a new method to enhance the augmented reality navigation effect in mandibular angle split osteotomy

Y Gao, L Lin, G Chai, L **e - Journal of Cranio-Maxillofacial Surgery, 2019 - Elsevier
The advantage of augmented reality (AR) is the combination of virtual reality, three-
dimensional display and real–time interaction. Traditional augmented reality navigation …

Multi-gate Weighted Fusion Network for neuronal morphology classification

C Sun, F Zhao - Frontiers in Neuroscience, 2024 - frontiersin.org
Analyzing the types of neurons based on morphological characteristics is pivotal for
understanding brain function and human development. Existing analysis approaches based …

Multi-level feature fusion network for neuronal morphology classification

C Sun, F Zhao - Frontiers in Neuroscience, 2024 - frontiersin.org
Neuronal morphology can be represented using various feature representations, such as
hand-crafted morphometrics and deep features. These features are complementary to each …

NeuRegenerate: A framework for visualizing neurodegeneration

S Boorboor, S Mathew, M Ananth… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Recent advances in high-resolution microscopy have allowed scientists to better understand
the underlying brain connectivity. However, due to the limitation that biological specimens …

Efficient and Accurate Semi-automatic Neuron Tracing with Extended Reality

J Chen, Z Yuan, J **, Z Gao, Y Li, X Zhu… - … on Visualization and …, 2024 - ieeexplore.ieee.org
Neuron tracing, alternately referred to as neuron reconstruction, is the procedure for
extracting the digital representation of the three-dimensional neuronal morphology from …