A Modified Quadrature Birdcage Coil Incorporated With a Curved Feature for In Ovo MR Imaging [0.03%]
一种改进的用于卵内磁共振成像的含曲面特性的四舍五入鸟栅线圈
Chang-Hoon Choi,Maximilian Bruch,Suk-Min Hong et al.
Chang-Hoon Choi et al.
Goal: This study presents a novel MRI coil design approach explicitly tailored for chick embryo measurements, with the primary objective of improving sensitivity and coverage. Methods: The limitations posed by conventional birdcage coils we...
BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation [0.03%]
桶增强：腹部CT分割中的强化域泛化
David Jozef Hresko,Peter Drotar
David Jozef Hresko
Goal: In recent years, deep neural networks have consistently outperformed previously proposed methods in the domain of medical segmentation. However, due to their nature, these networks often struggle to delineate desired structures in dat...
Treatment Planning Strategies for Interstitial Ultrasound Ablation of Prostate Cancer [0.03%]
前列腺癌间质超声消融的治疗计划策略
Pragya Gupta,Tamas Heffter,Muhammad Zubair et al.
Pragya Gupta et al.
Purpose: To develop patient-specific 3D models using Finite-Difference Time-Domain (FDTD) simulations and pre-treatment planning tools for the selective thermal ablation of prostate cancer with interstitial ultrasound. Th...
Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications [0.03%]
脉冲2AI：一种自适应框架，用于标准化和处理脉搏式可穿戴传感器数据以应用于临床应用
Sicong Huang,Roozbeh Jafari,Bobak J Mortazavi
Sicong Huang
Goal: To establish Pulse2AI as a reproducible data preprocessing framework for pulsatile signals that generate high-quality machine-learning-ready datasets from raw wearable recordings. Methods: We proposed an end-to-end data preprocessing ...
A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-Concept [0.03%]
单静态孔径成像中用于增强超声图像对比度和波束形成的深度学习方法的概念验证研究
Edoardo Bosco,Edoardo Spairani,Eleonora Toffali et al.
Edoardo Bosco et al.
Goal: In this study, we demonstrate that a deep neural network (DNN) can be trained to reconstruct high-contrast images, resembling those produced by the multistatic Synthetic Aperture (SA) method using a 128-element array, leveraging pre-b...
NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification [0.03%]
基于节点特征的自闭症分类图注意力网络
Shuaiqi Liu,Beibei Liang,Siqi Wang et al.
Shuaiqi Liu et al.
Goal: The purpose of this paper is to recognize autism spectrum disorders (ASD) using graph attention network. Methods: we propose a node features graph attention network (NF-GAT) for learning functional connectivity (FC) features to achiev...
Gastric Section Correlation Network for Gastric Precancerous Lesion Diagnosis [0.03%]
胃癌前病变内镜图像的胃区段关联网络方法
Jyun-Yao Jhang,Yu-Ching Tsai,Tzu-Chun Hsu et al.
Jyun-Yao Jhang et al.
Goal: Diagnosing the corpus-predominant gastritis index (CGI) which is an early precancerous lesion in the stomach has been shown its effectiveness in identifying high gastric cancer risk patients for preventive healthcare. However, invasiv...
Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines [0.03%]
用于侧凸脊柱的无监督MR-CT合成的不确定性估计
Enamundram Naga Karthik,Farida Cheriet,Catherine Laporte
Enamundram Naga Karthik
Uncertainty estimations through approximate Bayesian inference provide interesting insights to deep neural networks' behavior. In unsupervised learning tasks, where expert labels are unavailable, it becomes ever more important to critique t...
Guest Editorial Introduction to the Special Section on Weakly-Supervised Deep Learning and Its Applications [0.03%]
专题：弱监督深度学习及其应用_guest编辑导语
Yu-Dong Zhang
Yu-Dong Zhang
Researchers in biomedical engineering are increasingly turning to weakly-supervised deep learning (WSDL) techniques [1] to tackle challenges in biomedical data analysis, which often involves noisy, limited, or imprecise expert annotations [...
Usability Assessment of Technologies for Remote Monitoring of Knee Osteoarthritis [0.03%]
远程监测膝关节骨关节炎技术的使用性评估
Andrea Cafarelli,Angela Sorriento,Giorgia Marola et al.
Andrea Cafarelli et al.
Goal: To evaluate the usability of different technologies designed for a remote assessment of knee osteoarthritis. Methods: We recruited eleven patients affected by mild or moderate knee osteoarthritis, eleven caregivers, and eleven clinici...