Results 61 to 70 of about 3,447,572 (320)

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Using Ontologies for Enterprise Architecture Integration and Analysis

open access: yesComplex Systems Informatics and Modeling Quarterly, 2014
Enterprise architecture facilitates the alignment between different domains, such as business, applications and information technology. These domains must be described with description languages that best address the concerns of its stakeholders. However,
Gonçalo Antunes   +4 more
doaj   +1 more source

Constraint Solving for Finite Model Finding in SMT Solvers

open access: yes, 2017
SMT solvers have been used successfully as reasoning engines for automated verification and other applications based on automated reasoning. Current techniques for dealing with quantified formulas in SMT are generally incomplete, forcing SMT solvers to ...
Barrett, Clark   +2 more
core   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

Performance comparison of single-precision SPICE Model-Evaluation on FPGA, GPU, Cell, and multi-core processors [PDF]

open access: yes, 2009
Automated code generation and performance tuning techniques for concurrent architectures such as GPUs, Cell and FPGAs can provide integer factor speedups over multi-core processor organizations for data-parallel, floating-point computation in SPICE model-
DeHon, André, Kapre, Nachiket
core   +2 more sources

Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues

open access: yesNature Communications, 2019
Understanding the nano-architecture of protein machines in diverse subcellular compartments remains a challenge despite rapid progress in super-resolution microscopy.
Maja Klevanski   +5 more
semanticscholar   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano   +11 more
wiley   +1 more source

MICROSERVICE ARCHITECTURE FOR BUILDING HIGH-AVAILABILITY DISTRIBUTED AUTOMATED COMPUTING SYSTEM IN A CLOUD INFRASTRUCTURE

open access: yesСучасний стан наукових досліджень та технологій в промисловості, 2021
The article is devoted to the research and development of a highly available distributed automated computing system by iterative algorithms based on the microservice architecture in a cloud infrastructure.
Denis Zolotariov
doaj   +1 more source

An architecture for the automated detection of textual indicators of reflection [PDF]

open access: yes, 2011
Manual annotation of evidence of reflection expressed in texts is time consuming, especially as fine-grained models of reflection require extensive training of coders, otherwise resulting in low inter-coder reliability.
Ullmann, Thomas Daniel
core  

FastVentricle: Cardiac Segmentation with ENet

open access: yes, 2017
Cardiac Magnetic Resonance (CMR) imaging is commonly used to assess cardiac structure and function. One disadvantage of CMR is that post-processing of exams is tedious. Without automation, precise assessment of cardiac function via CMR typically requires
A Suinesiaputra   +9 more
core   +1 more source

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