Results 41 to 50 of about 94,123 (306)
Superresolution Reconstruction of Magnetic Resonance Images Based on a Nonlocal Graph Network
INTRODUCTION: High-resolution (HR) medical images are very important for doctors when diagnosing the internal pathological structures of patients and formulating precise treatment plans.
Yuanhang Li +3 more
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Binary Coding of Resonance Graphs of Catacondensed Polyhexes
A catacondensed polyhex H is a connected subgraph of a hexagonal system such that any edge of H lies in a hexagon of H, any triple of hexagons of H has an empty intersection and the inner dual of H is a cactus graph. A perfect matching M of a catacondensed polyhex H is relevant if every cycle of the inner dual of H admits a vertex that corresponds to ...
openaire +4 more sources
Resonance is a well-known phenomenon that happens in systems with second order dynamics. In this paper, we address the fundamental question of making a network robust to signal being periodically pumped into it at or near a resonant frequency by an ...
Alp Sahin +3 more
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Square-cut: a segmentation algorithm on the basis of a rectangle shape. [PDF]
We present a rectangle-based segmentation algorithm that sets up a graph and performs a graph cut to separate an object from the background. However, graph-based algorithms distribute the graph's nodes uniformly and equidistantly on the image.
Jan Egger +6 more
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Diagnosis of Mild Cognitive Impairment With Ordinal Pattern Kernel
Mild cognitive impairment (MCI) belongs to the prodromal stage of Alzheimer’s disease (AD). Accurate diagnosis of MCI is very important for possibly deferring AD progression.
Kai Ma, Shuo Huang, Daoqiang Zhang
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Aphasia therapy for Mandarin-speaking patients presents distinct challenges due to the language’s tonal characteristics and the presence of unforeseen vocal resonance, which reduces intelligibility and distorts tone contours.
Jiayi Zhang +3 more
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Reproducibility of graph metrics in fMRI networks
The reliability of graph metrics calculated in network analysis is essential to the interpretation of complex network organization. These graph metrics are used to deduce the small-world properties in networks.
Qawi K Telesford +8 more
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NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification
Goal: The purpose of this paper is to recognize autism spectrum disorders (ASD) using graph attention network. Methods: we propose a node features graph attention network (NF-GAT) for learning functional connectivity (FC) features to achieve ASD ...
Shuaiqi Liu +5 more
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Non-Weyl resonance asymptotics for quantum graphs [PDF]
We consider the resonances of a quantum graph $\mathcal G$ that consists of a compact part with one or more infinite leads attached to it. We discuss the leading term of the asymptotics of the number of resonances of $\mathcal G$ in a disc of a large radius.
Davies, Brian, Pushnitski, Alexander
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Consensus between pipelines in structural brain networks. [PDF]
Structural brain networks may be reconstructed from diffusion MRI tractography data and have great potential to further our understanding of the topological organisation of brain structure in health and disease.
Dayan, M +48 more
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