Localizing cardiac dyssynchrony in M-mode echocardiography with attention maps
M Saiz-Vivó, I Capallera, N Duchateau… - … on Functional Imaging …, 2023 - Springer
Abstract Cardiac Resynchronization Therapy (CRT) is a treatment aimed at restoring the
electrical synchronization in patients with heart failure and intraventricular conduction delay …
electrical synchronization in patients with heart failure and intraventricular conduction delay …
[PDF][PDF] Machine Learning Based Cardiac Scar Detection in Computed Tomography
Identifying cardiac patients with scar tissue is important for assisting diagnosis and guiding
interventions. Late gadolinium enhancement (LGE) MRI is the gold standard for scar …
interventions. Late gadolinium enhancement (LGE) MRI is the gold standard for scar …
Towards Interpretable Machine Learning in Medical Image Analysis
H Chen - 2023 - jscholarship.library.jhu.edu
Over the past few years, ML has demonstrated human expert level performance in many
medical image analysis tasks. However, due to the black-box nature of classic deep ML …
medical image analysis tasks. However, due to the black-box nature of classic deep ML …
Interpretable machine learning through radiomics and attribute-regularized neural networks for cardiology
I Cetin - 2022 - dialnet.unirioja.es
El diagnóstico asistido por ordenador de enfermedades cardiovasculares (CVD) con
resonancia magnética cardíaca (CMR) es un campo importante de investigación para el …
resonancia magnética cardíaca (CMR) es un campo importante de investigación para el …
[PDF][PDF] Improving the domain generalization and robustness of neural networks for medical imaging
C Chen - 2021 - core.ac.uk
Deep neural networks are powerful tools to process medical images, with great potential to
accelerate clinical workflows and facilitate large-scale studies. However, in order to achieve …
accelerate clinical workflows and facilitate large-scale studies. However, in order to achieve …
[PDF][PDF] APPRENTISSAGE PROFOND DE VARIÉTÉS POUR UNE MEILLEURE CARACTÉRISATION DE L'HYPERTENSION ARTÉRIELLE EN IMAGERIE …
N Painchaud - savoirs.usherbrooke.ca
L'hypertension artérielle (HT) est la maladie cardiovasculaire la plus répandue dans le
monde, affectant plus de 30% des adultes dans le monde en 2019, soit 1, 28 milliard de …
monde, affectant plus de 30% des adultes dans le monde en 2019, soit 1, 28 milliard de …
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
B Ruijsink, J Gould, B Porter, M Elliott… - … Models of the Heart …, 2022 - books.google.com
Evaluation of predictive deep learning (DL) models beyond conventional performance
metrics has become increasingly important for applications in sensitive environments like …
metrics has become increasingly important for applications in sensitive environments like …
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TR Hegde, OO Rufus, J Lee… - … Proteins: Methods and …, 2023 - books.google.com
Cell-free protein synthesis provides a flexible platform for the production of difficult-to-
express proteins, because maintaining cell viability is unnecessary. The antimicrobial …
express proteins, because maintaining cell viability is unnecessary. The antimicrobial …
[HTML][HTML] Regional left ventricle scar detection from routine cardiac computed tomography angiograms using latent space classification
H O'Brien, J Whitaker, MD O'Neill, K Grigoryan… - Computers in Biology …, 2022 - Elsevier
Objectives: The aim of this study is to develop an automated method of regional scar
detection on clinically standard computed tomography angiography (CTA) using encoder …
detection on clinically standard computed tomography angiography (CTA) using encoder …