[HTML][HTML] Machine learning approaches for myocardial motion and deformation analysis
Information about myocardial motion and deformation is key to differentiate normal and
abnormal conditions. With the advent of approaches relying on data rather than pre …
abnormal conditions. With the advent of approaches relying on data rather than pre …
Deep learning for heart disease detection through cardiac sounds
Most of death causes are related to cardiovascular disease. In fact, there are several
anomalies afflicting the heart beat, for instance heart murmur or artefact. We propose a …
anomalies afflicting the heart beat, for instance heart murmur or artefact. We propose a …
The relevance sample-feature machine: A sparse Bayesian learning approach to joint feature-sample selection
Y Mohsenzadeh, H Sheikhzadeh… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
This paper introduces a novel sparse Bayesian machine-learning algorithm for embedded
feature selection in classification tasks. Our proposed algorithm, called the relevance …
feature selection in classification tasks. Our proposed algorithm, called the relevance …
CNN as model observer in a liver lesion detection task for x‐ray computed tomography: A phantom study
Purpose The purpose of this study was the evaluation of anthropomorphic model observers
trained with neural networks for the prediction of a human observer's performance. Methods …
trained with neural networks for the prediction of a human observer's performance. Methods …
Evaluation of the channelized Hotelling observer with an internal-noise model in a train-test paradigm for cardiac SPECT defect detection
JG Brankov - Physics in Medicine & Biology, 2013 - iopscience.iop.org
The channelized Hotelling observer (CHO) has become a widely used approach for
evaluating medical image quality, acting as a surrogate for human observers in early-stage …
evaluating medical image quality, acting as a surrogate for human observers in early-stage …
Evaluation of CNN as anthropomorphic model observer
F Massanes, JG Brankov - Medical Imaging 2017: Image …, 2017 - spiedigitallibrary.org
Model observers (MO) are widely used in medical imaging to act as surrogates of human
observers in task-based image quality evaluation, frequently towards optimization of …
observers in task-based image quality evaluation, frequently towards optimization of …
Automated estimation of image quality for coronary computed tomographic angiography using machine learning
R Nakanishi, S Sankaran, L Grady, J Malpeso… - European …, 2018 - Springer
Objectives Our goal was to evaluate the efficacy of a fully automated method for assessing
the image quality (IQ) of coronary computed tomography angiography (CCTA). Methods The …
the image quality (IQ) of coronary computed tomography angiography (CCTA). Methods The …
Numerical surrogates for human observers in myocardial motion evaluation from SPECT images
T Marin, MM Kalayeh, FM Parages… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
In medical imaging, the gold standard for image-quality assessment is a task-based
approach in which one evaluates human observer performance for a given diagnostic task …
approach in which one evaluates human observer performance for a given diagnostic task …
Evaluation of a machine learning based model observer for x-ray CT
FK Kopp, M Catalano, D Pfeiffer… - Medical Imaging …, 2018 - spiedigitallibrary.org
In the medical imaging domain, image quality assessment is usually carried out by human
observers (HuO) performing a clinical task in reader studies. To overcome time-consuming …
observers (HuO) performing a clinical task in reader studies. To overcome time-consuming …
Apprentissage statistique des interactions entre forme et déformation cardiaques
M Di Folco - 2021 - theses.hal.science
En routine clinique, les méthodes d'imagerie permettent d'extraire des indices caractérisant
la fonction cardiaque et d'établir un diagnostic. Dans le cas de l'insuffisance cardiaque, un …
la fonction cardiaque et d'établir un diagnostic. Dans le cas de l'insuffisance cardiaque, un …