Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

YD Zhang, Z Dong, SH Wang, X Yu, X Yao, Q Zhou… - Information …, 2020 - Elsevier
Multimodal fusion in neuroimaging combines data from multiple imaging modalities to overcome
the fundamental limitations of individual modalities. Neuroimaging fusion can achieve …

[HTML][HTML] Manufacturing, characteristics and applications of auxetic foams: A state-of-the-art review

W Jiang, X Ren, SL Wang, XG Zhang, XY Zhang… - Composites Part B …, 2022 - Elsevier
Auxetic foams counter-intuitively expand (shrink) under stretching (compression). These
foams can exhibit superior mechanical properties such as resistance to shear and indentation, …

Design, manufacturing and applications of auxetic tubular structures: A review

C Luo, CZ Han, XY Zhang, XG Zhang, X Ren… - Thin-Walled …, 2021 - Elsevier
Auxetic materials and structures have attracted increasing attention because of their
extraordinary mechanical properties. Various types of auxetic tubular structures have been …

Advances in data preprocessing for biomedical data fusion: An overview of the methods, challenges, and prospects

S Wang, ME Celebi, YD Zhang, X Yu, S Lu, X Yao… - Information …, 2021 - Elsevier
Due to the proliferation of biomedical imaging modalities, such as Photoacoustic Tomography,
Computed Tomography (CT), Optical Microscopy and Tomography, etc., massive …

A novel auxetic chiral lattice composite: Experimental and numerical study

XG Zhang, X Ren, W Jiang, XY Zhang, C Luo… - Composite …, 2022 - Elsevier
Auxetic materials and structures have many potential applications due to their counter-intuitive
deformation behavior and desirable mechanical properties. However, auxetic structures …

Transfer learning for medical images analyses: A survey

X Yu, J Wang, QQ Hong, R Teku, SH Wang, YD Zhang - Neurocomputing, 2022 - Elsevier
The advent of deep learning has brought great change to the community of computer science
and also revitalized numerous fields where traditional machine learning methods failed to …

Mechanical properties of foam-filled hexagonal and re-entrant honeycombs under uniaxial compression

HC Luo, X Ren, Y Zhang, XY Zhang, XG Zhang… - Composite …, 2022 - Elsevier
Auxetic materials have excellent mechanical properties, eg, indentation resistance, shear
resistance, fracture toughness and energy absorption. However, the stiffness of auxetics is …

Based on auxetic foam: A novel type of seismic metamaterial for Lamb waves

…, X Ren, Y Zeng, Y Zhang, C Luo, XY Zhang… - Engineering …, 2021 - Elsevier
Seismic metamaterial (SM) has lately received significant attention in the field of vibration
isolation and damping due to its wave manipulation and bandgap properties. However, the …

Experimental and computational investigations of novel 3D printed square tubular lattice metamaterials with negative Poisson's ratio

…, X Ren, C Luo, Y Zhang, XY Zhang, XG Zhang… - Additive …, 2022 - Elsevier
Novel 3D printed square auxetic tubular lattice (SATL) structures were designed, fabricated
and investigated. Their mechanical properties were examined by the finite element method …

A simple 3D re-entrant auxetic metamaterial with enhanced energy absorption

…, Y Zhang, W Jiang, Y Pan, XG Zhang, XY Zhang… - International Journal of …, 2022 - Elsevier
As a branch of auxetics, the re-entrant hexagonal honeycomb has many superior
mechanical performances. However, most research focused on two-dimensional (2D) re-entrant …