Results 171 to 180 of about 415,012 (281)
Modified Distance Transformation for ImageEnhancement in NIR Imaging of Finger Vein System. [PDF]
Bernacki K, Moron T, Popowicz A.
europepmc +1 more source
Astrocyte‐specific SHP1 deletion disrupts astrocyte–vascular interactions and compromises BBB integrity while enhancing STAT1‐dependent CXCL10 expression. These changes synergistically promote peripheral CD4+ and CD8+ T‐cell infiltration into the SDH. The infiltrating T cells secrete IFN‐γ, which in turn activates microglia.
Lan‐Xing Yi +7 more
wiley +1 more source
DDP-FedFV: A Dual-Decoupling Personalized Federated Learning Framework for Finger Vein Recognition. [PDF]
Guo Z, Guo J, Huang Y, Zhang Y, Ren H.
europepmc +1 more source
Research on Finger Vein Image Segmentation and Blood Sampling Point Location in Automatic Blood Collection. [PDF]
Li X +5 more
europepmc +1 more source
The iLEAP technique integrates high‐throughput two‐photon lithography with extrusion printing, bridging sub‐micrometer precision and macroscopic scaffold fabrication. By employing a low‐exothermic photoinitiator, it mitigates thermal damage to biopolymers and preserves bioactivity.
Qifeng Guan +11 more
wiley +1 more source
FV-MViT: Mobile Vision Transformer for Finger Vein Recognition. [PDF]
Li X, Feng J, Cai J, Lin G.
europepmc +1 more source
Robust Finger-vein ROI Localization Based on the 3σ Criterion Dynamic Threshold Strategy. [PDF]
Yao Q, Song D, Xu X.
europepmc +1 more source
Stable radicals are attractive for photonic and quantum information technologies but are often limited by instability. We stabilize intrinsic radicals in graphene quantum dots via 2D polymerization of perylene derivatives, where bilayer defect confinement suppresses quenching (100–500 K).
Qin Xu +9 more
wiley +1 more source
Multimodal biometric identification: leveraging convolutional neural network (CNN) architectures and fusion techniques with fingerprint and finger vein data. [PDF]
Alshardan A +7 more
europepmc +1 more source
On the Vulnerability of Finger Vein Recognition to Spoofing
The vulnerability of finger vein recognition to spoofing is studied in this paper. A collection of spoofing finger vein images has been created from real finger vein samples.
Marcel, Sébastien +2 more
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