Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
Multimodal fusion in neuroimaging combines data from multiple imaging modalities to overcome
the fundamental limitations of individual modalities. Neuroimaging fusion can achieve …
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, …
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 …
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
Due to the proliferation of biomedical imaging modalities, such as Photoacoustic Tomography,
Computed Tomography (CT), Optical Microscopy and Tomography, etc., massive …
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 …
deformation behavior and desirable mechanical properties. However, auxetic structures …
Transfer learning for medical images analyses: A survey
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 …
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 …
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
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 …
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 …
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 …
mechanical performances. However, most research focused on two-dimensional (2D) re-entrant …