Results 71 to 80 of about 538 (196)
ABSTRACT Purpose Ultrahigh‐field MRI requires careful management of the specific absorption rate (SAR), which is subject and subject‐position dependent. Within‐scan subject motion may exacerbate local SAR exposure, necessitating large safety margins to prevent SAR underestimation, which hampers imaging performance.
Katherine Anna Blanter +4 more
wiley +1 more source
Ultrashort and zero echo time (UTE and ZTE) MRI techniques generate functional contrast through inflow effects, making them suitable for studying cerebral blood flow and cerebrospinal fluid (CSF) dynamics. In a 7‐T study of 13 participants performing a visual task, we demonstrate that UTE produced robust, reproducible activations with group‐level ...
Sara Ponticorvo +7 more
wiley +1 more source
Abstract Background Medical image segmentation is fundamental to radiotherapy planning, yet accurate delineation of organs at risk and tumor targets remain challenging due to anatomical variability and low soft‐tissue contrast in CT images. Purpose To develop a lightweight, high‐precision automatic segmentation network that meets the dual clinical ...
Peijun Yin +6 more
wiley +1 more source
This paper presents a comparative analysis of Forward Error Correction (FEC) schemes in AX.25-based Automatic Packet Reporting System (APRS) communications using AFSK modulation through GNU Radio simulations.
Rifki Ardinal +4 more
doaj +1 more source
Design of Interleavers for Turbo Codes: Iterative Interleaver Growth Algorithms of Polynomial Complexity [PDF]
This paper addresses the problem of designing interleavers for parallel concatenated convolutional codes (PCCC's) tailored to specific constituent codes.
Daneshgaran, F. +2 more
core +1 more source
Talking to the Brain: Using Large Language Models as Proxies to Model Brain Semantic Features
We introduce a novel paradigm using LLMs to map the brain's semantic space with greater ecological validity. This provides a robust framework for integrating naturalistic fMRI data and reveals a hierarchically organized semantic similarity space across the cerebral cortex.
Xin Liu, Ziyue Zhang, Jingxin Nie
wiley +1 more source
Dual Encoder DCNN for Efficient and Robust Segmentation of Retinal Vascular Tree From Fundus Images
ABSTRACT Retinal vessel segmentation is a critical step for the diagnosis and monitoring of ocular and cardiovascular diseases. Despite advances in medical imaging, achieving accurate segmentation across varying fundus image resolutions remains challenging.
Henda Boudegga, Yaroub Elloumi
wiley +1 more source
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour +3 more
wiley +1 more source
ABSTRACT Purpose To develop a denoising technique for displacement encoding with stimulated echoes (DENSE) MRI that improves spatial resolution, efficiency, and accuracy, and enhances accessibility by implementing DENSE MRI at 0.55 T. Methods We developed a low‐rank denoising technique, which leverages multidimensional spiral cine DENSE MRI data for ...
Shu‐Fu Shih +9 more
wiley +1 more source
A novel chaotic interleaving algorithm for mobile wireless channels
Interleaving technique is an efficient technique to resist serious burst errors over mobile wireless fading channels.To resist 2 dimensionality burst errors effectively,a novel chaotic interleaving algorithm based on Baker map was proposed.In the ...
Xianping WANG, Hui CAO
doaj +2 more sources

