Results 81 to 90 of about 682,217 (290)
Deformable Cardiovascular Image Registration via Multi-Channel Convolutional Neural Network
Vascular image registration is an essential approach to combine the advantages of preoperative 3D computed tomography angiography images and intraoperative 2D X-ray/digital subtraction angiography (DSA) images together.
Shaoya Guan +5 more
doaj +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
Diffeomorphic Demons using Normalised Mutual Information, Evaluation on Multi-Modal Brain MR Images [PDF]
The demons algorithm is a fast non-parametric non-rigid registration method. In recent years great efforts have been made to improve the approach; the state of the art version yields symmetric inverse-consistent large-deformation diffeomorphisms. However,
Ourselin, S +5 more
core
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
Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models
Image-based change quantitation has been recognized as a promising tool for accurate assessment of tumor's early response to chemoprevention in cancer research.
Jianhua Xuan +4 more
doaj +1 more source
MUSTER: Longitudinal Deformable Registration by Composition of Consecutive Deformations
Longitudinal imaging allows for the study of structural changes over time. One approach to detecting such changes is by non-linear image registration. This study introduces Multi-Session Temporal Registration (MUSTER), a novel method that facilitates longitudinal analysis of changes in extended series of medical images.
Edvard Grødem +9 more
openaire +3 more sources
Advanced Materials for Biologics Delivery to Brain Tumors
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng +4 more
wiley +1 more source
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen +8 more
wiley +1 more source
Simultaneous Linear and Deformable Registration [PDF]
International audienceIn this paper, we present a new approach to tackle simultaneously linear and deformable registration between two images. Our combined formulation avoids the bias created when linear registration is performed independently before a ...
Fécamp, Vivien +2 more
core +1 more source
Deformable Image Registration Model Based on Weighted Bounded Deformation Function [PDF]
Deformable image registration is a very important topic in the field of image processing.It is one of the most basic problems in computer vision,and also a difficult point in medical image analysis.In this paper,we study the image registration of two uni-
MIN Lihua, DING Tianzhong, JIN Zhengmeng
doaj +1 more source

