AIMC Topic: Humans
Showing 66341 to 66350 of 95995 articles
A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization.
IEEE transactions on neural networks and learning systems
Dec 28, 2018
This paper presents a two-timescale duplex neurodynamic system for constrained biconvex optimization. The two-timescale duplex neurodynamic system consists of two recurrent neural networks (RNNs) operating collaboratively at two timescales. By operat...
Quantum dot modified interface for electrochemical immunosensing of procalcitonin for the detection of urinary tract infection.
Analytica chimica acta
Dec 28, 2018
An electrochemical immunoelectrode is fabricated and investigated for quantification of the Procalcitonin (PCT), a protein over expressed in urinary tract infection (UTI). The sensor electrode is prepared by self assembling the conjugate of Zinc sulf...
Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy.
Artificial intelligence in medicine
Dec 28, 2018
This paper describes the INSIDE system, a networked robot system designed to allow the use of mobile robots as active players in the therapy of children with autism spectrum disorders (ASD). While a significant volume of work has explored the impact ...
Task activations produce spurious but systematic inflation of task functional connectivity estimates.
NeuroImage
Dec 28, 2018
Most neuroscientific studies have focused on task-evoked activations (activity amplitudes at specific brain locations), providing limited insight into the functional relationships between separate brain locations. Task-state functional connectivity (...
Efficacy and safety of CT-guided high-dose-rate interstitial brachytherapy in primary and secondary malignancies of the pancreas.
European journal of radiology
Dec 28, 2018
PURPOSE: To evaluate efficacy and safety of CT-guided iBT in patients with primary and secondary malignancies of the pancreas.
A novel prediction method for lymph node involvement in endometrial cancer: machine learning.
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
Dec 28, 2018
OBJECTIVE: The necessity of lymphadenectomy and the prediction of lymph node involvement (LNI) in endometrial cancer (EC) have been hotly-debated questions in recent years. Machine learning is a broad field that can produce results and estimations. I...
Automated geographic atrophy segmentation for SD-OCT images based on two-stage learning model.
Computers in biology and medicine
Dec 28, 2018
Automatic and reliable segmentation for geographic atrophy in spectral-domain optical coherence tomography (SD-OCT) images is a challenging task. To develop an effective segmentation method, a two-stage deep learning framework based on an auto-encode...
Automated, machine learning-based, 3D echocardiographic quantification of left ventricular mass.
Echocardiography (Mount Kisco, N.Y.)
Dec 28, 2018
BACKGROUND: Although 3D echocardiography (3DE) circumvents many limitations of 2D echocardiography by allowing direct measurements of left ventricular (LV) mass, it is seldom used in clinical practice due to time-consuming analysis. A recently develo...
Deep learning for patient-specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks.
Medical physics
Dec 28, 2018
PURPOSE: Patient-specific quality assurance (QA) for intensity-modulated radiation therapy (IMRT) is a ubiquitous clinical procedure, but conventional methods have often been criticized as being insensitive to errors or less effective than other comm...
Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy.
Medical physics
Dec 28, 2018
PURPOSE: The purpose of this study was to compare the effectiveness of ensemble methods (e.g., random forests) and single-model methods (e.g., logistic regression and decision trees) in predictive modeling of post-RT treatment failure and adverse eve...
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