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Sleep-wake classification via quantifying heart rate variability by convolutional neural network.
Physiological measurement
Aug 20, 2018
OBJECTIVE: Fluctuations in heart rate are intimately related to changes in the physiological state of the organism. We exploit this relationship by classifying a human participant's wake/sleep status using his instantaneous heart rate (IHR) series.
Low-rank and sparse embedding for dimensionality reduction.
Neural networks : the official journal of the International Neural Network Society
Aug 18, 2018
In this paper, we propose a robust subspace learning (SL) framework for dimensionality reduction which further extends the existing SL methods to a low-rank and sparse embedding (LRSE) framework from three aspects: overall optimum, robustness and gen...
Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.
NeuroImage
Aug 18, 2018
INTRODUCTION: The main goal of this work is to investigate the feasibility of estimating an anatomical index that can be used as an Alzheimer's disease (AD) risk factor in the Women's Health Initiative Magnetic Resonance Imaging Study (WHIMS-MRI) usi...
Robust liver vessel extraction using 3D U-Net with variant dice loss function.
Computers in biology and medicine
Aug 18, 2018
PURPOSE: Liver vessel extraction from CT images is essential in liver surgical planning. Liver vessel segmentation is difficult due to the complex vessel structures, and even expert manual annotations contain unlabeled vessels. This paper presents an...
Redesigning the Materials and Catalysts Database Construction Process Using Ontologies.
Journal of chemical information and modeling
Aug 17, 2018
Materials and catalyst informatics are emerging fields that are a result of shifts in terms of how materials and catalysts are discovered in the fields of materials science and catalysis. However, these fields are not reaching their full potential du...
Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning.
IEEE transactions on visualization and computer graphics
Aug 15, 2018
We propose a reinforcement learning approach for real-time exposure control of a mobile camera that is personalizable. Our approach is based on Markov Decision Process (MDP). In the camera viewfinder or live preview mode, given the current frame, our...
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.
IEEE transactions on bio-medical engineering
Aug 15, 2018
OBJECTIVE: The aim of this paper is to describe an automated diagnostic pipeline that uses as input only ultrasound (US) data, but is at the same time informed by a training database of multimodal magnetic resonance (MR) and US image data.
A convolutional route to abbreviation disambiguation in clinical text.
Journal of biomedical informatics
Aug 15, 2018
OBJECTIVE: Abbreviations sense disambiguation is a special case of word sense disambiguation. Machine learning methods based on neural networks showed promising results for word sense disambiguation (Festag and Spreckelsen, 2017) [1] and, here we ass...
Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.
IEEE journal of biomedical and health informatics
Aug 14, 2018
In this paper, we present a novel convolutional neural network architecture to segment images from a series of short-axis cardiac magnetic resonance slices (CMRI). The proposed model is an extension of the U-net that embeds a cardiac shape prior and ...
Identification of novel immune-relevant drug target genes for Alzheimer's Disease by combining ontology inference with network analysis.
CNS neuroscience & therapeutics
Aug 14, 2018
AIMS: Alzheimer's disease (AD) is one of the leading causes of death in elderly people. Its pathogenesis is greatly associated with the abnormality of immune system. However, only a few immune-relevant AD drug target genes have been discovered up to ...
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