Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using
Deep Computational Models for Inverse Inference

Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference

10 July 2023

Lei Li

Abhirup Banerjee

Blanca Rodriguez

Papers citing "Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference"

5 / 5 papers shown

Title
ECGDeDRDNet: A deep learning-based method for Electrocardiogram noise removal using a double recurrent dense network Sainan xiao Wangdong Yang Buwen Cao Jintao Wu 14 0 0 23 Apr 2025
Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey Lei Li J. Camps Blanca Rodriguez Vicente Grau SyDa 30 2 0 17 Jun 2024
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection M. N. I. Suvon P. C. Tripathi Wenrui Fan Shuo Zhou Xianyuan Liu S. Alabed V. Osmani Andrew J Swift Chen Chen Haiping Lu 18 1 0 20 Mar 2024
Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps Carlos Ruiz Herrera Thomas Grandits Gernot Plank P. Perdikaris F. Sahli Costabal Simone Pezzuto 24 38 0 28 Jan 2022
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 3,683 0 11 Feb 2021