Results 71 to 80 of about 11,857,870 (244)
Advanced Materials for Biologics Delivery to Brain Tumors
Advanced Materials, EarlyView.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
Multi-Modal Image Registration Problem Integrating Multi-Scale Strategy and Deep Learning
MathematicsMedical image registration integrates information from different types of medical images to support and improve clinical diagnosis. Existing image registration approaches are mainly classified into two categories: model-driven methods and data driven ...
Jiting Zhang
doaj +1 more source
Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier–Mellin Transform [PDF]
, 2009 In this paper we focus on extended Euclidean registration of a set of noisy images. We provide an appropriate statistical model for this kind of registration problems, and a new criterion based on Fourier-type transforms is proposed to estimate the ...
Gamboa, Fabrice +2 more
core +1 more source
Advanced Materials, EarlyView.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
A groupwise multiresolution network for DCE-MRI image registration
Scientific ReportsIn four-dimensional time series such as dynamic contrast-enhanced (DCE) MRI, motion between individual time steps due to the patient’s breathing or movement leads to incorrect image analysis, e.g., when calculating perfusion.
Anika Strittmatter +2 more
doaj +1 more source
Interactive Multigrid Refinement for Deformable Image Registration [PDF]
, 2020 Deformable image registration is the spatial mapping of corresponding locations between images and can be used for important applications in radiotherapy.
Yaoqin Xie, Wu Zhou
core
Learning-based approaches to deformable image registration [PDF]
, 2014 Accurate registration of images is an important and often crucial step in many areas of image processing and analysis, yet it is only used in a small percentage of possible applications.
Münzing, SEA, Münzing, S.E.A.
core +1 more source
Advanced Materials, EarlyView.Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo +7 more
wiley +1 more source
Objective assessment of the quality and accuracy of deformable image registration
Journal of Medical Physics, 2020 Background: The increased use of deformable registration algorithms in clinical practice has also increased the need for their validation. Aims and Objectives: The purpose of the study was to investigate the quality, accuracy, and plausibility of three ...
Ines-Ana Jurkovic +4 more
doaj +1 more source
Progressively growing convolutional networks for end-to-end deformable image registration [PDF]
, 2019 Deformable image registration is often a slow process when using conventional methods. To speed up deformable registration, there is growing interest in using convolutional neural networks.
Eppenhof, Koen +4 more
core +1 more source