AIMC Topic: Biophysical Phenomena

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Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index.

Nature communications Jun 7, 2019
Chemical shifts (CS) are determined from NMR experiments and represent the resonance frequency of the spin of atoms in a magnetic field. They contain a mixture of information, encompassing the in-solution conformations a protein adopts, as well as th...
Magnetic Resonance Spectroscopy Protein Structure, Secondary Biophysical Phenomena Nuclear Magnetic Resonance, Biomolecular Magnetic Resonance Imaging Proteins Models, Molecular Amino Acids Neural Networks, Computer
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Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification.

Journal of neurophysiology May 30, 2018
Neural circuits typically consist of many different types of neurons, and one faces a challenge in disentangling their individual contributions in measured neural activity. Classification of cells into inhibitory and excitatory neurons and localizati...
Models, Neurological Action Potentials Brain Deep Learning Electrodes, Implanted Neurons Biophysical Phenomena
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Ablation Index and Surround Flow Catheter Irrigation: Impedance-Based Appraisal in Clinical Ablation.

JACC. Clinical electrophysiology Jun 28, 2017
OBJECTIVES: This study sought to assess the impact of ablation power and catheter irrigation during clinical radiofrequency ablation using impedance drop.
Catheter Ablation Aged Algorithms Biophysical Phenomena Middle Aged Male Female Treatment Outcome Humans Equipment Design Therapeutic Irrigation Atrial Fibrillation
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Single NMR image super-resolution based on extreme learning machine.

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) Sep 9, 2016
INTRODUCTION: The performance limitation of MRI equipment and higher resolution demand of NMR images from radiologists have formed a strong contrast. Therefore, it is important to study the super resolution algorithm suitable for NMR images, using lo...
Humans Signal-To-Noise Ratio Magnetic Resonance Imaging Machine Learning Biophysical Phenomena Image Interpretation, Computer-Assisted Algorithms Phantoms, Imaging
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Machine learning made easy for optimizing chemical reactions.

Nature Feb 1, 2021
Bayes Theorem Biophysical Phenomena Machine Learning Computer Simulation
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[Computational neuroanatomy and microstructure imaging using magnetic resonance imaging].

Der Nervenarzt Aug 1, 2017
BACKGROUND: Current computational neuroanatomy focuses on morphological measurements of the brain using standard magnetic resonance imaging (MRI) techniques. In comparison quantitative MRI (qMRI) typically provides a better tissue contrast and also g...
Biophysical Phenomena Neuroanatomy Quantitative Structure-Activity Relationship White Matter Magnetic Resonance Imaging Models, Neurological Brain Mapping Image Interpretation, Computer-Assisted Brain Imaging, Three-Dimensional Artificial Intelligence Humans
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Constructing Precisely Computing Networks with Biophysical Spiking Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 15, 2015
UNLABELLED: While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computation by neural networks are based on population firing rates....
Biophysical Phenomena Nerve Net Biophysics Computer Simulation Neurons Neural Networks, Computer Animals Synapses Models, Neurological Action Potentials
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