AIMC Topic:
Computer Simulation

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A Dual-Modal Attention-Enhanced Deep Learning Network for Quantification of Parkinson's Disease Characteristics.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 8, 2019
It is well known that most patients with Parkinson's disease (PD) have different degree of movement disorders, such as shuffling, festination and akinetic episodes, which could degenerate the life quality of PD patients. Therefore, it is very useful ...
Male Middle Aged Deep Learning Attention Gait Disorders, Neurologic Parkinson Disease Walking Computer Simulation Female Humans Reproducibility of Results Aged Neural Networks, Computer Algorithms
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Applications of Computer Modeling and Simulation in Cartilage Tissue Engineering.

Tissue engineering and regenerative medicine Oct 5, 2019
BACKGROUND: Advances in cartilage tissue engineering have demonstrated noteworthy potential for developing cartilage for implantation onto sites impacted by joint degeneration and injury. To supplement resource-intensive in vivo and in vitro studies ...
Cartilage Machine Learning Tissue Scaffolds Oxygen Computers Stress, Mechanical Bioreactors Computer Simulation Tissue Engineering Chondrocytes
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Ensemble of neural networks for 3D position estimation in monolithic PET detectors.

Physics in medicine and biology Oct 4, 2019
We propose an ensemble of multilayer feedforward neural networks to estimate the 3D position of photoelectric interactions in monolithic detectors. The ensemble is trained with data generated from optical Monte Carlo simulations only. The originality...
Brain Computer Simulation Imaging, Three-Dimensional Image Processing, Computer-Assisted Calibration Humans Monte Carlo Method Neural Networks, Computer Algorithms Optics and Photonics Phantoms, Imaging Models, Statistical Light Positron-Emission Tomography
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Simulation of hyperelastic materials in real-time using deep learning.

Medical image analysis Oct 2, 2019
The finite element method (FEM) is among the most commonly used numerical methods for solving engineering problems. Due to its computational cost, various ideas have been introduced to reduce computation times, such as domain decomposition, parallel ...
Humans Computer Simulation Liver Datasets as Topic Finite Element Analysis Elastic Modulus Tomography, X-Ray Computed Biomechanical Phenomena Deep Learning
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NeuroSLAM: a brain-inspired SLAM system for 3D environments.

Biological cybernetics Sep 30, 2019
Roboticists have long drawn inspiration from nature to develop navigation and simultaneous localization and mapping (SLAM) systems such as RatSLAM. Animals such as birds and bats possess superlative navigation capabilities, robustly navigating over l...
Brain Mapping Robotics Spatial Navigation Computer Simulation Animals Humans Neural Networks, Computer Models, Neurological Brain
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Stable memory with unstable synapses.

Nature communications Sep 30, 2019
What is the physiological basis of long-term memory? The prevailing view in Neuroscience attributes changes in synaptic efficacy to memory acquisition, implying that stable memories correspond to stable connectivity patterns. However, an increasing b...
Nerve Net Memory Neural Networks, Computer Memory, Long-Term Nonlinear Dynamics Synapses Models, Neurological Learning Software Homeostasis Neurons Neuronal Plasticity Algorithms Computer Simulation
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Improving the clinical understanding of hypertrophic cardiomyopathy by combining patient data, machine learning and computer simulations: A case study.

Morphologie : bulletin de l'Association des anatomistes Sep 27, 2019
Most patients with hypertrophic cardiomyopathy (HCM), the most common genetic cardiac disease, remain asymptomatic, but others may suffer from sudden cardiac death. A better identification of those patients at risk, together with a better understandi...
Machine Learning Computer Simulation Clinical Decision-Making Electrocardiography Magnetic Resonance Imaging Risk Factors Risk Assessment Humans Heart Ventricles Asymptomatic Diseases Death, Sudden, Cardiac Patient Selection Models, Cardiovascular Cardiomyopathy, Hypertrophic
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Investigation of machine learning techniques on proteomics: A comprehensive survey.

Progress in biophysics and molecular biology Sep 27, 2019
Proteomics is the extensive investigation of proteins which has empowered the recognizable proof of consistently expanding quantities of protein. Proteins are necessary part of living life form, with numerous capacities. The proteome is the complete ...
Computer Simulation Torsion, Mechanical Computational Biology Proteomics Databases, Protein Machine Learning Protein Conformation Proteome Proteins
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Latticed Channel Model of Touchable Communication Over Capillary Microcirculation Network.

IEEE transactions on nanobioscience Sep 25, 2019
Recent progress on bioresorbable and bio-compatible miniature systems provides prospects for developing novel nanorobots operating inside the human body. These nanoscale systems are expected to dissolve in vivo and cause no side effect after completi...
Nanotechnology Microcirculation Touch Capillaries Neoplasms Models, Theoretical Robotics Regional Blood Flow Computer Simulation Communication
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Massive computational acceleration by using neural networks to emulate mechanism-based biological models.

Nature communications Sep 25, 2019
For many biological applications, exploration of the massive parametric space of a mechanism-based model can impose a prohibitive computational demand. To overcome this limitation, we present a framework to improve computational efficiency by orders ...
Stochastic Processes Entropy Escherichia coli Kinetics Models, Biological Algorithms Computer Simulation Neural Networks, Computer
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