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Time Factors

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Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 28, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) t...
Magnetic Resonance Imaging, Cine Male Ventricular Function, Right Heart Ventricles Ventricular Function, Left Reproducibility of Results Image Interpretation, Computer-Assisted Stroke Volume Aged Observer Variation Adult Time Factors Middle Aged Predictive Value of Tests Deep Learning Humans Prospective Studies Female
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Photonic deep residual time-delay reservoir computing.

Neural networks : the official journal of the International Neural Network Society Jul 27, 2024
Time-delay reservoir computing (TDRC) represents a simplified variant of recurrent neural networks, employing a nonlinear node with a feedback mechanism to construct virtual nodes. The capabilities of TDRC can be enhanced by transitioning to a deep a...
Deep Learning Time Factors Neurons Nonlinear Dynamics Neural Networks, Computer Photons Algorithms Artificial Intelligence Feedback
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Holistic evaluation of a machine learning-based timing calibration for PET detectors under varying data sparsity.

Physics in medicine and biology Jul 26, 2024
Modern PET scanners offer precise TOF information, improving the SNR of the reconstructed images. Timing calibrations are performed to reduce the worsening effects of the system components and provide valuable TOF information. Traditional calibration...
Time Factors Image Processing, Computer-Assisted Positron-Emission Tomography Calibration Machine Learning
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Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

HPB : the official journal of the International Hepato Pancreato Biliary Association Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Hepatectomy Serum Albumin, Human Serum Albumin Treatment Outcome Predictive Value of Tests Bilirubin Middle Aged Risk Assessment Postoperative Complications Liver Neoplasms Carcinoma, Hepatocellular Time Factors Hospital Mortality Risk Factors Aged Male Databases, Factual Retrospective Studies Female Humans Machine Learning
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Input-to-state stability of delayed memristor-based inertial neural networks via non-reduced order method.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2024
This paper is concerned with the input-to-state stability (ISS) for a kind of delayed memristor-based inertial neural networks (DMINNs). Based on the nonsmooth analysis and stability theory, novel delay-dependent and delay-independent criteria on the...
Computer Simulation Neural Networks, Computer Time Factors Algorithms Nonlinear Dynamics
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Stability and synchronization of fractional-order reaction-diffusion inertial time-delayed neural networks with parameters perturbation.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
This study is centered around the dynamic behaviors observed in a class of fractional-order generalized reaction-diffusion inertial neural networks (FGRDINNs) with time delays. These networks are characterized by differential equations involving two ...
Neural Networks, Computer Time Factors Nonlinear Dynamics Algorithms Computer Simulation Feedback
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A systematic literature review of predicting patient discharges using statistical methods and machine learning.

Health care management science Jul 22, 2024
Discharge planning is integral to patient flow as delays can lead to hospital-wide congestion. Because a structured discharge plan can reduce hospital length of stay while enhancing patient satisfaction, this topic has caught the interest of many hea...
Machine Learning Forecasting Length of Stay Time Factors Humans Models, Statistical Patient Discharge
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Identifying high-risk Fontan phenotypes using K-means clustering of cardiac magnetic resonance-based dyssynchrony metrics.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 14, 2024
BACKGROUND: Individuals with a Fontan circulation encompass a heterogeneous group with adverse outcomes linked to ventricular dilation, dysfunction, and dyssynchrony. The purpose of this study was to assess if unsupervised machine learning cluster an...
Cluster Analysis Unsupervised Machine Learning Predictive Value of Tests Heart Transplantation Fontan Procedure Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Time Factors Child Treatment Outcome Ventricular Function, Left Risk Assessment Adolescent Humans Phenotype Young Adult Retrospective Studies Female Adult Risk Factors Biomechanical Phenomena Heart Defects, Congenital Male Magnetic Resonance Imaging, Cine Myocardial Contraction
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Lag projective synchronization of discrete-time fractional-order quaternion-valued neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society Jul 11, 2024
This paper deals with the lag projective synchronization (LPS) problem for a class of discrete-time fractional-order quaternion-valued neural networks(DTFO QVNNs) systems with time delays. Firstly, a DTFOQVNNs system with time delay is constructed. S...
Neural Networks, Computer Time Factors Nonlinear Dynamics Linear Models Algorithms Computer Simulation Feedback
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Improved switching condition for reachable set estimation of discrete-time switched delayed neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 10, 2024
This research delves into the reachable set estimation (RSE) problem for general switched delayed neural networks (SDNNs) in the discrete-time context. Note that existing relevant research on SDNNs predominantly relies on either time-dependent or sta...
Time Factors Neurons Algorithms Computer Simulation Humans Neural Networks, Computer
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