Multimodal medical image fusion review: Theoretical background and recent advances
Multimodal medical image fusion consists in combining two or more images of the same or
different modalities aiming to improve the image content, and preserve information. The …
different modalities aiming to improve the image content, and preserve information. The …
Deep learning based multimodal biomedical data fusion: An overview and comparative review
J Duan, J Xiong, Y Li, W Ding - Information Fusion, 2024 - Elsevier
Multimodal biomedical data fusion plays a pivotal role in distilling comprehensible and
actionable insights by seamlessly integrating disparate biomedical data from multiple …
actionable insights by seamlessly integrating disparate biomedical data from multiple …
[PDF][PDF] Examining the learning efficiency by a brain-computer interface system
PEBBINGHAUS test it was 52.41% on all samples. Conclusion: The developed BCI system
has a significant correlation with PCORSI and PEBBINGHAUS cognitive neuroscience tests …
has a significant correlation with PCORSI and PEBBINGHAUS cognitive neuroscience tests …
Cognitive and affective brain–computer interfaces for improving learning strategies and enhancing student capabilities: A systematic literature review
Brain–computer interface (BCI) technology has the potential to positively contribute to the
educational learning environment, which faces many challenges and shortcomings …
educational learning environment, which faces many challenges and shortcomings …
Is deep learning better than kernel regression for functional connectivity prediction of fluid intelligence?
In recent years, deep learning has transformed the field of machine learning. In the field of
neuroimaging, there are increasing interests in adopting deep learning techniques …
neuroimaging, there are increasing interests in adopting deep learning techniques …
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
Although modern imaging technologies allow us to study connectivity between two distinct
brain regions in-vivo, an in-depth understanding of how anatomical structure supports brain …
brain regions in-vivo, an in-depth understanding of how anatomical structure supports brain …
[PDF][PDF] Comparison of different neural networks models for identification of manipulator arm driven by fluidic muscles
M Trojanová, A Hošovský - Acta Polytechnica Hungarica, 2018 - real-j.mtak.hu
This paper presents the results obtained from wind tunnel experiments on VFE-2 wing
profile model which are differentiated by their leading edge profiles; medium-and large …
profile model which are differentiated by their leading edge profiles; medium-and large …
Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism
Modern neuroimaging technologies set the stage for studying structural connectivity (SC)
and functional connectivity (FC) in-vivo. Due to distinct biological wiring underpinnings in SC …
and functional connectivity (FC) in-vivo. Due to distinct biological wiring underpinnings in SC …
[PDF][PDF] Comparing the Performance of a Novel-BCI-Based Headset with a Conventional Hearing Aid While Watching TV
DK Nagarathi, V Ramya, L Parthiban - J. Environ. Nanotechnol, 2024 - nanoient.org
Nowadays, TV viewership and watching time are increasing rapidly. Many organizations
now allow employees to watch the news in the recreation hall during official hours to stay …
now allow employees to watch the news in the recreation hall during official hours to stay …
NeuroDetour: A Neural Pathway Transformer for Uncovering Structural-Functional Coupling Mechanisms in Human Connectome
Although modern imaging technologies allow us to study connectivity between two distinct
brain regions in-vivo, an in-depth understanding of how anatomical structure supports brain …
brain regions in-vivo, an in-depth understanding of how anatomical structure supports brain …