AIMC Topic: Calcium

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A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging.

Nature neuroscience Aug 2, 2021
Inference of action potentials ('spikes') from neuronal calcium signals is complicated by the scarcity of simultaneous measurements of action potentials and calcium signals ('ground truth'). In this study, we compiled a large, diverse ground truth da...
Databases, Factual Brain Animals Deep Learning Zebrafish Calcium Artifacts Neuroimaging Mice Models, Neurological Action Potentials Neurons
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Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning.

Diagnostic and interventional imaging Jun 5, 2021
PURPOSE: The purpose of this study was to develop and evaluate an algorithm that can automatically estimate the amount of coronary artery calcium (CAC) from unenhanced electrocardiography (ECG)-gated computed tomography (CT) cardiac volume acquisitio...
Electrocardiography Calcium Coronary Vessels Humans Artificial Intelligence Tomography, X-Ray Computed Deep Learning
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Deep learning-enhanced light-field imaging with continuous validation.

Nature methods May 7, 2021
Visualizing dynamic processes over large, three-dimensional fields of view at high speed is essential for many applications in the life sciences. Light-field microscopy (LFM) has emerged as a tool for fast volumetric image acquisition, but its effect...
Reproducibility of Results Calcium Microscopy Oryzias Larva Image Processing, Computer-Assisted Heart Zebrafish Biomechanical Phenomena Animals Deep Learning
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Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value.

BMC medicine Mar 4, 2021
BACKGROUND: Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for cardiopulmonary events is widely recognized, but the accuracy and precision have yet to be d...
Lung Neoplasms Early Detection of Cancer Calcium Coronary Vessels Female Male Cohort Studies Humans Artificial Intelligence Prognosis Retrospective Studies Tomography, X-Ray Computed
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Signal-to-signal neural networks for improved spike estimation from calcium imaging data.

PLoS computational biology Mar 1, 2021
Spiking information of individual neurons is essential for functional and behavioral analysis in neuroscience research. Calcium imaging techniques are generally employed to obtain activities of neuronal populations. However, these techniques result i...
Models, Neurological Action Potentials Calcium Neural Networks, Computer Algorithms Fluorescence
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Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium.

European journal of radiology Feb 6, 2021
PURPOSE: We aimed to develop a deep learning (DL)-based algorithm for automated quantification of aortic valve calcium (AVC) from non-enhanced electrocardiogram-gated cardiac CT scans and compare performance of DL-measured AVC volume and Agatston sco...
Aortic Valve Calcium Severity of Illness Index Deep Learning Calcinosis Aortic Valve Stenosis Humans Algorithms Retrospective Studies
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Deep convolutional neural networks to predict cardiovascular risk from computed tomography.

Nature communications Jan 29, 2021
Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible on all computed tomography (CT) scans of the chest, this information is not routinely quantified as it requires expertise, time, and specialized equipment....
Male Cardiovascular Diseases Middle Aged Risk Assessment Deep Learning Image Processing, Computer-Assisted Follow-Up Studies Coronary Vessels Tomography, X-Ray Computed Female Asymptomatic Diseases Reproducibility of Results Calcium Aged Humans Chest Pain Retrospective Studies Heart Disease Risk Factors
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The prognostic value of automated coronary calcium derived by a deep learning approach on non-ECG gated CT images from Rb-PET/CT myocardial perfusion imaging.

International journal of cardiology Jan 4, 2021
BACKGROUND: Assessment of both coronary artery calcium(CAC) scores and myocardial perfusion imaging(MPI) in patients suspected of coronary artery disease(CAD) provides incremental prognostic information. We used an automated method to determine CAC s...
Risk Factors Humans Deep Learning Prognosis Positron Emission Tomography Computed Tomography Predictive Value of Tests Coronary Artery Disease Coronary Angiography Calcium Myocardial Perfusion Imaging
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Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.

BioMed research international Dec 16, 2020
Cardiac computed tomography angiography (CCTA) is widely used as a diagnostic tool for evaluation of coronary artery disease (CAD). Despite the excellent capability to rule-out CAD, CCTA may overestimate the degree of stenosis; furthermore, CCTA anal...
Fractional Flow Reserve, Myocardial Diagnosis, Computer-Assisted Calcium Algorithms Plaque, Atherosclerotic Image Processing, Computer-Assisted Humans Phenotype Coronary Vessels Computed Tomography Angiography Coronary Artery Disease Artificial Intelligence Prognosis Myocardial Ischemia Coronary Stenosis Machine Learning Middle Aged Risk
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Development of a quantitative systems pharmacology model of chronic kidney disease: metabolic bone disorder.

American journal of physiology. Renal physiology Dec 14, 2020
Chronic kidney disease mineral bone disorder (CKD-MBD) is a virtually universal complication of kidney diseases, starting early in the course of disease and resulting in devastating clinical consequences ranging from bone fragility to accelerated ath...
Humans Machine Learning Renal Insufficiency, Chronic Phosphates Calcium Fibroblast Growth Factor-23 Parathyroid Hormone Fibroblast Growth Factors Gene Expression Regulation Models, Biological Bone Diseases, Metabolic
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