Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis [0.03%]
基于变换器的分布正则化对抗自编码生成脑功能网络用于痴呆症诊断
Qiankun Zuo,Junhua Hu,Yudong Zhang et al.
Qiankun Zuo et al.
The topological connectivity information derived from the brain functional network can bring new insights for diagnosing and analyzing dementia disorders. The brain functional network is suitable to bridge the correlation between abnormal c...
ThyroidNet: A Deep Learning Network for Localization and Classification of Thyroid Nodules [0.03%]
甲状腺结节定位和分类的深度学习网络-ThyroidNetBar:甲状腺结节定位和分类的一种深度学习方法
Lu Chen,Huaqiang Chen,Zhikai Pan et al.
Lu Chen et al.
Aim: This study aims to establish an artificial intelligence model, ThyroidNet, to diagnose thyroid nodules using deep learning techniques accurately. Met...
Xiaoyan Jiang,Zuojin Hu,Shuihua Wang et al.
Xiaoyan Jiang et al.
Over the years, the continuous development of new technology has promoted research in the field of posture recognition and also made the application field of posture recognition have been greatly expanded. The purpose of this paper is to in...
Ziquan Zhu,Shui-Hua Wang,Yu-Dong Zhang
Ziquan Zhu
Problems: For people all over the world, cancer is one of the most feared diseases. Cancer is one of the major obstacles to improving life expectancy in countries around the world and one of the biggest causes of death be...
OpenIFEM: A High Performance Modular Open-Source Software of the Immersed Finite Element Method for Fluid-Structure Interactions [0.03%]
开放源代码的浸入式有限元方法软件_openifem及其在流固耦合中的应用
Jie Cheng,Feimi Yu,Lucy T Zhang
Jie Cheng
We present a high performance modularly-built open-source software - OpenIFEM. OpenIFEM is a C++ implementation of the modified immersed finite element method (mIFEM) to solve fluid-structure interaction (FSI) problems. This software is mod...
3D Echo-Based Patient-Specific Computational Left Ventricle Models to Quantify Material Properties and Stress/Strain Differences between Ventricles with and without Infarct [0.03%]
基于3D回声的患者特定计算左心室模型，用于量化梗死和非梗死心室之间的材料属性和应力/应变差异
Rui Fan,Dalin Tang,Jing Yao et al.
Rui Fan et al.
Identifying ventricle material properties and its infarct area after heart attack noninvasively is of great important in clinical applications. An echo-based computational modeling approach was proposed to investigate left ventricle (LV) me...
Patient-Specific Carotid Plaque Progression Simulation Using 3D Meshless Generalized Finite Difference Models with Fluid-Structure Interactions Based on Serial In Vivo MRI Data [0.03%]
基于连续体内MRI数据的流固耦合作用下三维无网格广义有限差分法的患者特异性颈动脉斑块进展仿真模型
Chun Yang,Dalin Tang,Satya Atluri
Chun Yang
Previously, we introduced a computational procedure based on three-dimensional meshless generalized finite difference (MGFD) method and serial magnetic resonance imaging (MRI) data to quantify patient-specific carotid atherosclerotic plaque...
S Aland,J Lowengrub,A Voigt
S Aland
We present a new method for simulating two-phase flows in complex geometries, taking into account contact lines separating immiscible incompressible components. We combine the diffuse domain method for solving PDEs in complex geometries wit...
Effect of Patch Mechanical Properties on Right Ventricle Function Using MRI-Based Two-Layer Anisotropic Models of Human Right and Left Ventricles [0.03%]
基于MRI的两层各向异性模型的人右室和左室补丁力学性质对右心室功能的影响研究
Dalin Tang,Chun Yang,Tal Geva et al.
Dalin Tang et al.
Right and left ventricle (RV/LV) combination models with three different patch materials (Dacron scaffold, treated pericardium, and contracting myocardium), two-layer construction, fiber orientation, and active anisotropic material properti...
Three-Dimensional Carotid Plaque Progression Simulation Using Meshless Generalized Finite Difference Method Based on Multi-Year MRI Patient-Tracking Data [0.03%]
基于多年MRI患者追踪数据的三维颈动脉斑块进展模拟及其无网格广义有限差分法
Chun Yang,Dalin Tang,Satya Atluri
Chun Yang
Cardiovascular disease (CVD) is becoming the number one cause of death worldwide. Atherosclerotic plaque rupture and progression are closely related to most severe cardiovascular syndromes such as heart attack and stroke. Mechanisms governi...