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Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning.
NeuroImage
May 20, 2019
Detecting cerebral microbleeds (CMBs) is important in diagnosing a variety of diseases including dementia, stroke and traumatic brain injury. However, manual detection of CMBs can be time-consuming and prone to errors, whereas the current automatic a...
Dry eye is matched by increased intrasubject variability in tear osmolarity as confirmed by machine learning approach.
Archivos de la Sociedad Espanola de Oftalmologia
May 20, 2019
OBJECTIVE: Because of high variability, tear film osmolarity measures have been questioned in dry eye assessment. Understanding the origin of such variability would aid data interpretation. This study aims to evaluate osmolarity variability in a clin...
Prediction of antiepileptic drug treatment outcomes of patients with newly diagnosed epilepsy by machine learning.
Epilepsy & behavior : E&B
May 20, 2019
OBJECTIVE: The objective of this study was to build a supervised machine learning-based classifier, which can accurately predict the outcomes of antiepileptic drug (AED) treatment of patients with newly diagnosed epilepsy.
Effects of Assistive Robot Behavior on Impressions of Patient Psychological Attributes: Vignette-Based Human-Robot Interaction Study.
Journal of medical Internet research
May 19, 2019
BACKGROUND: As robots are increasingly designed for health management applications, it is critical to not only consider the effects robots will have on patients but also consider a patient's wider social network, including the patient's caregivers an...
Identifying predictors of within-person variance in MRI-based brain volume estimates.
NeuroImage
May 18, 2019
Adequate reliability of measurement is a precondition for investigating individual differences and age-related changes in brain structure. One approach to improve reliability is to identify and control for variables that are predictive of within-pers...
Detection of respiratory rate using a classifier of waves in the signal from a FBG-based vital signs sensor.
Computer methods and programs in biomedicine
May 17, 2019
BACKGROUND AND OBJECTIVE: Monitoring of changes in respiratory rate provides information on a patient's psychophysical state. This paper presents a respiratory rate detection method based on analysis of signals from a fiber Bragg grating (FBG)-based ...
Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex.
NeuroImage
May 16, 2019
Goal-driven and feedforward-only convolutional neural networks (CNN) have been shown to be able to predict and decode cortical responses to natural images or videos. Here, we explored an alternative deep neural network, variational auto-encoder (VAE)...
Neo-adjuvant chemoradiotherapy response prediction using MRI based ensemble learning method in rectal cancer patients.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
May 15, 2019
OBJECTIVES: The aim of this study was to investigate and validate the performance of individual and ensemble machine learning models (EMLMs) based on magnetic resonance imaging (MRI) to predict neo-adjuvant chemoradiation therapy (nCRT) response in r...
Skin cancer detection by deep learning and sound analysis algorithms: A prospective clinical study of an elementary dermoscope.
EBioMedicine
May 14, 2019
BACKGROUND: Skin cancer (SC), especially melanoma, is a growing public health burden. Experimental studies have indicated a potential diagnostic role for deep learning (DL) algorithms in identifying SC at varying sensitivities. Previously, it was dem...
Retrospective correction of motion-affected MR images using deep learning frameworks.
Magnetic resonance in medicine
May 13, 2019
PURPOSE: Motion is 1 extrinsic source for imaging artifacts in MRI that can strongly deteriorate image quality and, thus, impair diagnostic accuracy. In addition to involuntary physiological motion such as respiration and cardiac motion, intended and...
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