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 …

[PDF][PDF] Machine Learning Based Cardiac Scar Detection in Computed Tomography

H O'Brien, S Niederer, K Rhode - 2022 - kclpure.kcl.ac.uk
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 …

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 …

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 …

[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 …

[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 …

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 …

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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 …

[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 …