[HTML][HTML] The role of AI in characterizing the DCM phenotype

C Asher, E Puyol-Antón, M Rizvi, B Ruijsink… - … in Cardiovascular …, 2021 - frontiersin.org
Cardiac MRI (CMR) is well-placed in this respect, not only for … paper reviews the main
developments that could offer more … prediction models for prognostic assessment exists for heart

Bias and multiscale correction methods for variational state estimation algorithms

F Galarce, J Mura, A Caiazzo - arXiv preprint arXiv:2311.14031, 2023 - arxiv.org
… This research finds its systematic exploration in fields such as data assimilation and inverse
Cardiac function estimation from mri using a heart model and data assimilation: Advances

Comparison of three machine learning methods to estimate myocardial stiffness

RR Mehdi, EA Mendiola, A Sears, G Choudhary… - Reduced Order Models …, 2023 - Elsevier
… rodent heart models to provide training data for the ML models… standard cardiac Computed
Tomography (CT) and cardiac MRI … any requirement for an advanced computational setup. To …

Deep learning for cardiovascular imaging: A review

RM Wehbe, AK Katsaggleos, KJ Hammond… - … cardiology, 2023 - jamanetwork.com
heart disease from cardiac amyloidosis on echocardiograms.… , it should assimilate nicely
into the cardiac imager’s workflow… technologies will continue to advance in the coming years. …

[HTML][HTML] Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data

C Albors, È Lluch, JF Gomez, N Cedilnik, KA Mountris… - Applied Sciences, 2022 - mdpi.com
… A data assimilation strategy was designed to personalize the most relevant parameters of
the … models to study advanced biomaterial injection therapies for ischemic heart failure. …

Patient-specific cardiovascular biomechanical modeling to augment interpretation of clinical data and assist planning interventions for patients with congenital heart …

M Gusseva - 2022 - theses.hal.science
… The advancement of this work was possible thanks to the … Briefly these methods are data
assimilation (optimization) … by coupling the 3D heart model with MRI data. The passive (active) …

… in cardiac disease and heart failure: assessment, clinical implications and therapeutic interventions. A consensus document of the European Society of Cardiology …

I Ikonomidis, V Aboyans, J Blacher… - … journal of heart …, 2019 - Wiley Online Library
… of advanced glycation end-… magnetic resonance imaging measure LV volumes more
accurately than two-dimensional echocardiography and should be preferred for the calculation

Reconstruction of the local contractility of the cardiac muscle from deficient apparent kinematics

G Pozzi, D Ambrosi, S Pezzuto - arXiv preprint arXiv:2404.11137, 2024 - arxiv.org
… images and leveraging data assimilation procedures to estimate local contractility from given
Cardiac function estimation from mri using a heart model and data assimilation: advances

Harnessing big data to advance treatment and understanding of pulmonary hypertension

CJ Rhodes, AJ Sweatt, BA Maron - Circulation research, 2022 - Am Heart Assoc
assimilate a massive number of 3-/4-dimensional cardiac … ) and PH due to heart failure with
preserved ejection fraction (… cardiac imaging studies, evaluation of ML model performance …

A rule‐based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts

R Doste, D Soto‐Iglesias, G Bernardino… - … journal for numerical …, 2019 - Wiley Online Library
assimilate fiber information from multimodal imaging (DT-MRI, histology, synchrotron data)
and to work in a wide variety of heart … our results with data obtained from advanced imaging …