Luigi E. Perotti

Orcid: 0000-0002-9010-2144

Affiliations:
  • University of Central Florida, Orlando, FL, USA


According to our database1, Luigi E. Perotti authored at least 21 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
A physics-based tessellation algorithm for particle assemblies on arbitrary surfaces.
Comput. Phys. Commun., 2024

An nnU-Net Model to Enhance Segmentation of Cardiac Cine DENSE-MRI Using Phase Information.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023
Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images.
Eng. Appl. Artif. Intell., May, 2023

An Explicit Local Space-Time Adaptive Framework for Monodomain Models.
CoRR, 2023

Computational Modeling of Coupled Interactions of Fluid Membranes with Embedded Filaments.
CoRR, 2023

Long Axis Cardiac MRI Segmentation Using Anatomically-Guided UNets and Transfer Learning.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

Ventricular Helix Angle Trends and Long-Range Connectivity.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

An Extended Generalized Hill Model for Cardiac Tissue: Comparison with Different Approaches Based on Experimental Data.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022
Diffusion and Displacement Encoded MRI Dataset to Estimate In Vivo Cardiomyocyte Strain.
Dataset, May, 2022

2021
Estimating cardiomyofiber strain <i>in vivo</i> by solving a computational model.
Medical Image Anal., 2021

Using synthetic data generation to train a cardiac motion tag tracking neural network.
Medical Image Anal., 2021

A Multi-step Machine Learning Approach for Short Axis MR Images Segmentation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Diffusion Biomarkers in Chronic Myocardial Infarction.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

The Effect of Modeling Assumptions on the ECG in Monodomain and Bidomain Simulations.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Arbitrary Point Tracking with Machine Learning to Measure Cardiac Strains in Tagged MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020
Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MRI.
IEEE Trans. Medical Imaging, 2020

2019
Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019

High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry via 3D Printing.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019

2018
Time resolved displacement-based registration of in vivo cDTI cardiomyocyte orientations.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017

2016
Electrophysiology of Heart Failure Using a Rabbit Model: From the Failing Myocyte to Ventricular Fibrillation.
PLoS Comput. Biol., 2016


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