|
|
|
|
|
François Legrand, Richard Macwan, Alain Lalande, Lisa Métairie and Thomas Decourselle
Automated Cardiac Magnetic Resonance segmentation serves as a crucial tool for the evaluation of cardiac function, facilitating faster clinical assessments that prove advantageous for both practitioners and patients alike. Recent studies have predominant...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kui Zeng, Shutan Xu, Daode Shu and Ming Chen
Medaka (Oryzias latipes), as a crucial model organism in biomedical research, holds significant importance in fields such as cardiovascular diseases. Currently, the analysis of the medaka ventricle relies primarily on visual observation under a microscop...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xingchen Xu, Xingguang Geng, Zhixing Gao, Hao Yang, Zhiwei Dai and Haiying Zhang
The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Chekroun, Youssef Mourchid, Igor Bessières and Alain Lalande
The advent of the 0.35 T MR-Linac (MRIdian, ViewRay) system in radiation therapy allows precise tumor targeting for moving lesions. However, the lack of an automatic volume segmentation function in the MR-Linac?s treatment planning system poses a challen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marin Bencevic, Irena Galic, Marija Habijan and Aleksandra Pi?urica
Epicardial and pericardial adipose tissues (EAT and PAT), which are located around the heart, have been linked to coronary atherosclerosis, cardiomyopathy, coronary artery disease, and other cardiovascular diseases. Additionally, the volume and thickness...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bassam Al-Naami, Hossam Fraihat, Hamza Abu Owida, Khalid Al-Hamad, Roberto De Fazio and Paolo Visconti
Left bundle branch block (LBBB) is a common disorder in the heart?s electrical conduction system that leads to the ventricles? uncoordinated contraction. The complete LBBB is usually associated with underlying heart failure and other cardiac diseases. Th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Linda Atika, Siti Nurmaini, Radiyati Umi Partan and Erwin Sukandi
The heart?s mitral valve is the valve that separates the chambers of the heart between the left atrium and left ventricle. Heart valve disease is a fairly common heart disease, and one type of heart valve disease is mitral regurgitation, which is an abno...
ver más
|
|
|
|
|
|
|
|
|
|
|
Youssef Skandarani, Pierre-Marc Jodoin and Alain Lalande
Deep learning methods are the de facto solutions to a multitude of medical image analysis tasks. Cardiac MRI segmentation is one such application, which, like many others, requires a large number of annotated data so that a trained network can generalize...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raul-Ronald Galea, Laura Diosan, Anca Andreica, Loredana Popa, Simona Manole and Zoltán Bálint
Despite the promising results obtained by deep learning methods in the field of medical image segmentation, lack of sufficient data always hinders performance to a certain degree. In this work, we explore the feasibility of applying deep learning methods...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mauricio Barrios, Miguel Jimeno, Pedro Villalba and Edgar Navarro
Metabolic Syndrome (MetS) is a set of risk factors that increase the probability of heart disease or even diabetes mellitus. The diagnosis of the pathology implies compliance with at least three of five risk factors. Doctors obtain two of those factors i...
ver más
|
|
|
|
|
|