[HTML][HTML] Multi-modality cardiac image computing: A survey
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …
cardiovascular diseases. It allows a combination of complementary anatomical …
An overview of deep learning approaches in chest radiograph
Chest X-ray (CXR) interpretations are conducted in hospitals and medical facilities on daily
basis. If the interpretation tasks were performed correctly, various vital medical conditions of …
basis. If the interpretation tasks were performed correctly, various vital medical conditions of …
Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review
VS de Siqueira, MM Borges, RG Furtado… - Artificial intelligence in …, 2021 - Elsevier
The echocardiogram is a test that is widely used in Heart Disease Diagnoses. However, its
analysis is largely dependent on the physician's experience. In this regard, artificial …
analysis is largely dependent on the physician's experience. In this regard, artificial …
An overview on image registration techniques for cardiac diagnosis and treatment
Image registration has been used for a wide variety of tasks within cardiovascular imaging.
This study aims to provide an overview of the existing image registration methods to assist …
This study aims to provide an overview of the existing image registration methods to assist …
Value of machine learning in predicting TAVI outcomes
Background Transcatheter aortic valve implantation (TAVI) has become a commonly applied
procedure for high-risk aortic valve stenosis patients. However, for some patients, this …
procedure for high-risk aortic valve stenosis patients. However, for some patients, this …
Three-Dimensional Multi-Modality Registration for Orthopaedics and Cardiovascular Settings: State-of-the-Art and Clinical Applications
S Garzia, K Capellini, E Gasparotti, D Pizzuto… - Sensors, 2024 - mdpi.com
The multimodal and multidomain registration of medical images have gained increasing
recognition in clinical practice as a powerful tool for fusing and leveraging useful information …
recognition in clinical practice as a powerful tool for fusing and leveraging useful information …
Comparative studies of deep learning segmentation models for left ventricle segmentation
One of the primary factors contributing to death across all age groups is cardiovascular
disease. In the analysis of heart function, analyzing the left ventricle (LV) from 2D …
disease. In the analysis of heart function, analyzing the left ventricle (LV) from 2D …
Real-time detection of aortic valve in echocardiography using convolutional neural networks
Background: Valvular heart disease is a serious disease leading to mortality and increasing
medical care cost. The aortic valve is the most common valve affected by this disease …
medical care cost. The aortic valve is the most common valve affected by this disease …
Multimodality registration of two-dimensional echocardiography and cardiac CT for mitral valve diagnosis and surgical planning
A registration method to fuse two-dimensional (2-D) echocardiography images with cardiac
computed tomography (CT) volume is presented. The method consists of two major …
computed tomography (CT) volume is presented. The method consists of two major …
Carpal bone segmentation using fully convolutional neural network
Background: Bone Age Assessment (BAA) refers to a clinical procedure that aims to identify
a discrepancy between biological and chronological age of an individual by assessing the …
a discrepancy between biological and chronological age of an individual by assessing the …