日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Digital twins for noninvasively measuring predictive markers of right heart failure

利用数字孪生技术无创测量右心衰竭的预测指标

Geddes, Justen R; Jensen, Christopher W; Tanade, Cyrus; Ghorbannia, Arash; Fudim, Marat; Patel, Manesh R; Randles, Amanda

Establishing the longitudinal hemodynamic mapping framework for wearable-driven coronary digital twins

建立可穿戴设备驱动的冠状动脉数字孪生纵向血流动力学映射框架

Tanade, Cyrus; Khan, Nusrat Sadia; Rakestraw, Emily; Ladd, William D; Draeger, Erik W; Randles, Amanda

Diagnostic Performance of Coronary Angiography Derived Computational Fractional Flow Reserve

冠状动脉造影衍生的计算血流储备分数的诊断性能

Vardhan, Madhurima; Tanade, Cyrus; Chen, S James; Mahmood, Owais; Chakravartti, Jaidip; Jones, W Schuyler; Kahn, Andrew M; Vemulapalli, Sreekanth; Patel, Manesh; Leopold, Jane A; Randles, Amanda

Identifying When Steady-State Flow Simulations In Patient-Specific Coronaries Recapitulate Pulsatile Flow Dynamics

确定患者特异性冠状动脉稳态流动模拟何时能重现脉动流动动力学

Huber, Maximilian; Jiang, Juliet; Tanade, Cyrus; Randles, Amanda

Hemodynamics comparison of an hour-long rest and activity state data in a human coronary digital twin

对人类冠状动脉数字孪生体中一小时静息状态和活动状态数据的血流动力学比较

Mavi, Japneet Kaur; Tanade, Cyrus; Ladd, William; Geddes, Justen; Khan, Nusrat Sadia; Randles, Amanda

Cloud Computing to Enable Wearable-Driven Longitudinal Hemodynamic Maps

利用云计算实现可穿戴设备驱动的纵向血流动力学地图绘制

Tanade, Cyrus; Rakestraw, Emily; Ladd, William; Draeger, Erik; Randles, Amanda

Analysis identifying minimal governing parameters for clinically accurate in silico fractional flow reserve

分析确定了临床上准确的计算机模拟血流储备分数所需的最小控制参数

Tanade, Cyrus; Chen, S James; Leopold, Jane A; Randles, Amanda

Global Sensitivity Analysis For Clinically Validated 1D Models of Fractional Flow Reserve

临床验证的一维血流储备分数模型的全局敏感性分析

Tanade, Cyrus; Feiger, Bradley; Vardhan, Madhurima; Chen, S James; Leopold, Jane A; Randles, Amanda

Hybrid Modeling of Ebola Propagation

埃博拉病毒传播的混合模型

Tanade, Cyrus; Pate, Nathanael; Paljug, Elianna; Hoffman, Ryan A; Wang, May D