Results 61 to 70 of about 11,857,870 (244)
Silicone breast implants are presented as a model system for understanding polymer permeation in vivo. Rather than representing material failure, “gel bleed” emerges from solution–diffusion transport‐mediated. By integrating polymer architecture, physicochemical transport, and biointerfacial processes, this review provides a unified framework that ...
D. Bouyer +12 more
wiley +1 more source
This paper proposes a locally adaptive kernel regression with adaptive-scale kernels for deformable image registration with outliers (i.e., missing correspondences and large local deformations).
Binjie Qin +5 more
doaj +1 more source
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi +11 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
MF-Net: multi-scale feature extraction-integration network for unsupervised deformable registration
Deformable registration plays a fundamental and crucial role in scenarios such as surgical navigation and image-assisted analysis. While deformable registration methods based on unsupervised learning have shown remarkable success in predicting ...
Andi Li +16 more
doaj +1 more source
On combining algorithms for deformable image registration
We propose a meta-algorithm for registration improvement by combining deformable image registrations (MetaReg). It is inspired by a well-established method from machine learning, the combination of classifiers. MetaReg consists of two main components: (1)
Pluim, J.P.W. +3 more
core +1 more source
Learning a Deformable Registration Pyramid
We introduce an end-to-end unsupervised (or weakly supervised) image registration method that blends conventional medical image registration with contemporary deep learning techniques from computer vision.
Schön, Thomas B. +5 more
core +1 more source
Moiré‐Induced Symmetry Breaking of Charge Order in van der Waals Heterostructures
A uniaxial moiré potential in misfit (MS)1+δTaS2 heterostructures selectively reshape charge order: the embedded 1H‐TaS2 layer hosts an incommensurate charge‐density wave, fragmented into nanometer domains and stripped of threefold symmetry. Superconductivity, however, remains uniform and fully gapped, revealing heterosymmetry stacking as a selective ...
Sandra Sajan +12 more
wiley +1 more source
A Lightweight Residual Network for Unsupervised Deformable Image Registration
Unsupervised deformable volumetric image registration is crucial for various applications, such as medical imaging and diagnosis. Recently, learning-based methods have achieved remarkable success in this domain.
Ahsan Raza Siyal +2 more
doaj +1 more source
Radiotherapy dose distribution prediction for breast cancer using deformable image registration
Background Radiotherapy treatment planning dose prediction can be used to ensure plan quality and guide automatic plan. One of the dose prediction methods is incorporating historical treatment planning data into algorithms to estimate the dose–volume ...
Xue Bai +5 more
doaj +1 more source

