24 citations · 24 across the 3 of their papers we have counts for
3 papers
Bayesian Posterior Sampling for Synthetic Shape Generation of Heart Valves
Vijay Dubey, Sumedh Seetharam, Nikos Manthatis +9
Statistical shape models (SSMs) for heart valves commonly rely on principal component analysis (PCA). They are used to support downstream tasks, including \textit{in silico} modeli…
Fully Differentiable Ultrasound Simulation Utilizing Ray-Tracing
L. River Spencer, Reagan A. Cardoza, Vijay K. Dubey +5
Ultrasound imaging tasks such as calibration, inverse parameter estimation, and acquisition design require models that are physically grounded, efficient, and differentiable with r…
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Arjun Gupta, E. A. Huerta, Zhizhen Zhao +1
Myocardial infarction is the leading cause of death worldwide. In this paper, we design domain-inspired neural network models to detect myocardial infarction. First, we study the c…