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In-silico heart model phantom to validate cardiac strain imaging
The quantification of cardiac strains as structural indices of cardiac function has a growing
prevalence in clinical diagnosis. However, the highly heterogeneous four-dimensional (4D) …
prevalence in clinical diagnosis. However, the highly heterogeneous four-dimensional (4D) …
Novel 2D/3D Hybrid Organoid System for High-Throughput Drug Screening in iPSC Cardiomyocytes
J Lewis, B Yaseen, A Saraf - bioRxiv, 2024 - biorxiv.org
Human induced pluripotent stem cell cardiomyocytes (hiPSC-CMs) allow for high-
throughput evaluation of cardiomyocyte (CM) physiology in health and disease. While …
throughput evaluation of cardiomyocyte (CM) physiology in health and disease. While …
ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection
In the ever-evolving realm of network security, the swift and accurate identification of diverse
attack classes within network traffic is of paramount importance. This paper introduces …
attack classes within network traffic is of paramount importance. This paper introduces …
Towards Preventing Adversarial Attacks: Develo** a Framework for Enhancing Robustness of Deep Learning Models for Worker Safety in Construction
The increasing use of deep neural networks (DNNs) in construction worker safety, highlights
their potential and exposes their susceptibility to adversarial perturbations. These …
their potential and exposes their susceptibility to adversarial perturbations. These …
[PDF][PDF] Estimating Pulmonary Arterial Pressure Differences Using Integrated Machine Learning-Computational Fluid Dynamics
SB Peighambari, T Mukherjee, RR Mehdi, EA Mendiola… - cinc.org
Pulmonary hypertension (PH) is characterized by a significant increase in mean pulmonary
arterial pressure at rest and can initiate substantial right ventricular remodeling, often …
arterial pressure at rest and can initiate substantial right ventricular remodeling, often …