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Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography.
IEEE journal of biomedical and health informatics
Dec 12, 2019
3D Transesophageal Echocardiography is an excellent tool for evaluating the mitral valve and is also well suited for guiding cardiac interventions. We introduce a fully automatic method for mitral annulus segmentation in 3D Transesophageal Echocardio...
ROBOKOP KG and KGB: Integrated Knowledge Graphs from Federated Sources.
Journal of chemical information and modeling
Dec 12, 2019
A proliferation of data sources has led to the notional existence of an implicit Knowledge Graph (KG) that contains vast amounts of biological knowledge contributed by distributed Application Programming Interfaces (APIs). However, challenges arise w...
SVR-EEMD: An Improved EEMD Method Based on Support Vector Regression Extension in PPG Signal Denoising.
Computational and mathematical methods in medicine
Dec 12, 2019
Photoplethysmography (PPG) has been widely used in noninvasive blood volume and blood flow detection since its first appearance. However, its noninvasiveness also makes the PPG signals vulnerable to noise interference and thus exhibits nonlinear and ...
An enhanced deep learning approach for brain cancer MRI images classification using residual networks.
Artificial intelligence in medicine
Dec 10, 2019
Cancer is the second leading cause of death after cardiovascular diseases. Out of all types of cancer, brain cancer has the lowest survival rate. Brain tumors can have different types depending on their shape, texture, and location. Proper diagnosis ...
Decoding and mapping task states of the human brain via deep learning.
Human brain mapping
Dec 9, 2019
Support vector machine (SVM)-based multivariate pattern analysis (MVPA) has delivered promising performance in decoding specific task states based on functional magnetic resonance imaging (fMRI) of the human brain. Conventionally, the SVM-MVPA requir...
Identifying bladder rupture following traumatic pelvic fracture: A machine learning approach.
Injury
Dec 9, 2019
INTRODUCTION: Bladder rupture following blunt pelvic trauma is rare though can have significant sequelae. We sought to determine whether machine learning could help predict the presence of bladder injury using certain factors at the time of presentat...
Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks.
Annals of biomedical engineering
Dec 5, 2019
Twin-to-Twin Transfusion Syndrome is commonly treated with minimally invasive laser surgery in fetoscopy. The inter-foetal membrane is used as a reference to find abnormal anastomoses. Membrane identification is a challenging task due to small field ...
Dilated Skip Convolution for Facial Landmark Detection.
Sensors (Basel, Switzerland)
Dec 4, 2019
Facial landmark detection has gained enormous interest for face-related applications due to its success in facial analysis tasks such as facial recognition, cartoon generation, face tracking and facial expression analysis. Many studies have been prop...
The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink.
Pharmacoepidemiology and drug safety
Dec 3, 2019
PURPOSE: The objective was to develop a natural language processing (NLP) algorithm to identify vaccine-related anaphylaxis from plain-text clinical notes, and to implement the algorithm at five health care systems in the Vaccine Safety Datalink.
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation.
IEEE transactions on cybernetics
Dec 2, 2019
In recent years, neural networks have been used to generate symbolic melodies. However, the long-term structure in the melody has posed great difficulty to design a good model. In this article, we present a hierarchical recurrent neural network (HRNN...
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