Machine learning modeling of lung mechanics: Assessing the variability and propagation of uncertainty in respiratory-system compliance and airway resistance

A Gaussian Process Model for Insulin Secretion Reconstruction with Uncertainty Quantification: Applications in Cystic Fibrosis

(2023) Justin Garrish et al.   SIAM JOURNAL ON APPLIED MATHEMATICS

Multiscale modeling of lung mechanics: From alveolar microstructure to pulmonary function

(2023) Daniel E. Hurtado et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators

(2023) Marina Strocchi et al.   PLoS Computational Biology

A quasi-static poromechanical model of the lungs

(2022) Cécile Patte et al.   Biomechanics and Modeling in Mechanobiology

Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond

(2022) Amirhossein Arzani et al.   ANNALS OF BIOMEDICAL ENGINEERING

Estimation of Regional Pulmonary Compliance in Idiopathic Pulmonary Fibrosis Based on Personalized Lung Poromechanical Modeling

(2022) Cécile Patte et al.   JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME

Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models

(2022) Elias Karabelas et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Multi-Fidelity Gaussian Process Surrogate Modeling of Pediatric Tissue Expansion

(2022) Tianhong Han et al.   JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME

Whole-lung finite-element models for mechanical ventilation and respiratory research applications

(2022) Nibaldo Avilés-Rojas et al.   Frontiers in Physiology

Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning

(2021) Gaoyang Li et al.   Communications Biology

Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity

(2021) Quan Lin et al.   KNOWLEDGE-BASED SYSTEMS

Respiratory Mechanics

(2021) Ralph Gertler   Anesthesiology Clinics

Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities

(2021) Mengwu Guo et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A Damaged-Informed Lung Ventilator Model for Ventilator Waveforms

(2021) Deepak K. Agrawal et al.   Frontiers in Physiology

An effective approach for CT lung segmentation using mask region-based convolutional neural networks

(2020) Qinhua Hu et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Physics-Informed Neural Networks for Cardiac Activation Mapping

(2020) Francisco Sahli Costabal et al.   Frontiers in Physics

Baseline Characteristics and Outcomes of 1591 Patients Infected With SARS-CoV-2 Admitted to ICUs of the Lombardy Region, Italy

(2020) Giacomo Grasselli et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Uncertainty quantification and sensitivity analysis of left ventricular function during the full cardiac cycle

(2020) J. O. Campos et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Progression of regional lung strain and heterogeneity in lung injury: assessing the evolution under spontaneous breathing and mechanical ventilation

(2020) Daniel E. Hurtado et al.   Annals of Intensive Care

Lung Mechanics of Mechanically Ventilated Patients With COVID-19: Analytics With High-Granularity Ventilator Waveform Data

(2020) Huiqing Ge et al.   Frontiers in Medicine

Upscaling the poroelastic behavior of the lung parenchyma: A finite-deformation micromechanical model

(2020) Felipe Concha et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

MOGPTK: The multi-output Gaussian process toolkit

(2020) Taco de Wolff et al.   NEUROCOMPUTING

Predicting the effect of aging and defect size on the stress profiles of skin from advancement, rotation and transposition flap surgeries

(2019) Taeksang Lee et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification

(2019) Francisco Sahli Costabal et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Using machine learning to characterize heart failure across the scales

(2019) M. Peirlinck et al.   Biomechanics and Modeling in Mechanobiology

A coupled approach for identification of nonlinear and compressible material models for soft tissue based on different experimental setups – Exemplified and detailed for lung parenchyma

(2019) Anna M. Birzle et al.   Journal of the Mechanical Behavior of Biomedical Materials

Unravelling machine learning: insights in respiratory medicine

(2019) Elsa Angelini et al.   EUROPEAN RESPIRATORY JOURNAL

Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression

(2019) Taeksang Lee et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Multi-fidelity classification using Gaussian processes: Accelerating the prediction of large-scale computational models

(2019) Francisco Sahli Costabal et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems

(2019) Xuhui Meng et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

(2019) Oscar J. Pellicer-Valero et al.   EXPERT SYSTEMS WITH APPLICATIONS

Clinical management of pressure control ventilation: An algorithmic method of patient ventilatory management to address “forgotten but important variables”

(2018) Lonny Ashworth et al.   JOURNAL OF CRITICAL CARE

Detection of Lung Contour with Closed Principal Curve and Machine Learning

(2018) Tao Peng et al.   JOURNAL OF DIGITAL IMAGING

Micromechanical model of lung parenchyma hyperelasticity

(2018) Felipe Concha et al.   JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS

A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis

(2018) Liang Liang et al.   Journal of the Royal Society Interface

Remarks on multi-output Gaussian process regression

(2018) Haitao Liu et al.   KNOWLEDGE-BASED SYSTEMS

Uncertainty quantification of 2 models of cardiac electromechanics

(2017) Daniel E. Hurtado et al.   International Journal for Numerical Methods in Biomedical Engineering

Improving the Accuracy of Registration-Based Biomechanical Analysis: A Finite Element Approach to Lung Regional Strain Quantification

(2016) Daniel E. Hurtado et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Scaling Multidimensional Inference for Structured Gaussian Processes

(2015) Elad Gilboa et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A poroelastic model coupled to a fluid network with applications in lung modelling

(2015) Lorenz Berger et al.   International Journal for Numerical Methods in Biomedical Engineering

Respiratory Mechanics in Mechanically Ventilated Patients

(2014) D. R. Hess   Respiratory Care

Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities

(2009) Christophe Geuzaine et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING