AIMC Topic: Oxygen

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Evidence of Water Quality Degradation in Lower Mekong Basin Revealed by Self-Organizing Map.

PloS one Jan 5, 2016
To reach a better understanding of the spatial variability of water quality in the Lower Mekong Basin (LMB), the Self-Organizing Map (SOM) was used to classify 117 monitoring sites and hotspots of pollution within the basin identified according to wa...
Vietnam Water Movements Cambodia Laos Humans Neural Networks, Computer Thailand Seasons Nitrates Water Quality Ammonia Geography Rivers Wetlands Hydrogen-Ion Concentration Water Pollution Phosphorus Agriculture Water Pollutants, Chemical Oxygen
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Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest.

IEEE transactions on medical imaging Aug 19, 2015
Cardiac Phase-resolved Blood-Oxygen-Level Dependent (CP-BOLD) MRI provides a unique opportunity to image an ongoing ischemia at rest. However, it requires post-processing to evaluate the extent of ischemia. To address this, here we propose an unsuper...
Unsupervised Machine Learning Oxygen Myocardial Ischemia Image Processing, Computer-Assisted Humans Support Vector Machine Algorithms Magnetic Resonance Imaging
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Comment on "Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring A. Najah & A. El-Shafie & O. A. Karim & Amr H. El-Shafie. Environ Sci Pollut Res (2014) 21:1658-1670".

Environmental science and pollution research international May 28, 2015
Water Pollution, Chemical Environmental Monitoring Neural Networks, Computer Water Pollutants, Chemical Oxygen Models, Chemical
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Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.

Neural networks : the official journal of the International Neural Network Society May 21, 2015
Standard methods for the analysis of functional MRI data strongly rely on prior implicit and explicit hypotheses made to simplify the analysis. In this work the attention is focused on two such commonly accepted hypotheses: (i) the hemodynamic respon...
Models, Statistical Humans Data Interpretation, Statistical Algorithms Neural Networks, Computer Hemodynamics Oxygen Markov Chains Computer Simulation Machine Learning Image Processing, Computer-Assisted Reproducibility of Results Magnetic Resonance Imaging Datasets as Topic
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Comment on "Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring A. Najah & A. El-Shafie & O. A. Karim & Amr H. El-Shafie. Environ Sci Pollut Res (2014) 21:1658-1670".

Environmental science and pollution research international Nov 14, 2014
Neural Networks, Computer Oxygen Environmental Monitoring Models, Chemical Water Pollutants, Chemical Water Pollution, Chemical
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Accelerated EPR imaging using deep learning denoising.

Magnetic resonance in medicine Jul 1, 2025
PURPOSE: Trityl OXO71-based pulse electron paramagnetic resonance imaging (EPRI) is an excellent technique to obtain partial pressure of oxygen (pO) maps in tissues. In this study, we used deep learning techniques to denoise 3D EPR amplitude and pO m...
Animals Deep Learning Imaging, Three-Dimensional Humans Signal-To-Noise Ratio Image Processing, Computer-Assisted Algorithms Electron Spin Resonance Spectroscopy Phantoms, Imaging Mice Oxygen Fibrosarcoma
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A Comparative Analysis of Federated and Centralized Learning for SpO2 Prediction in Five Critical Care Databases.

Studies in health technology and informatics Aug 22, 2024
This study explores the potential of federated learning (FL) to develop a predictive model of hypoxemia in intensive care unit (ICU) patients. Centralized learning (CL) and local learning (LL) approaches have been limited by the localized nature of d...
Oximetry Databases, Factual Intensive Care Units Electronic Health Records Humans Oxygen Machine Learning Hypoxia Critical Care
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Noninvasive detection of diabetes in obstructive sleep apnea based on overnight SpO signal and deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The prevalence of obstructive sleep apnea comorbid with diabetes is high while the awareness of diabetes is low. There is a strong need for new diagnostic biomarkers to detect diabetes at an early stage. Therefore, we aimed to establish an automatic,...
Male Middle Aged Deep Learning ROC Curve Humans Female Aged Sleep Apnea, Obstructive Diabetes Mellitus Oxygen Signal Processing, Computer-Assisted
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The rough but fascinating road to estimate peak exercise oxygen uptake by resting electrocardiogram-based deep learning.

European journal of preventive cardiology Jan 25, 2024
Deep Learning Electrocardiography Oxygen Exercise Test Humans Exercise
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Machine learning-based prediction of cerebral oxygen saturation based on multi-modal cerebral oximetry data.

Health informatics journal Jan 1, 2024
This study develops machine learning-based algorithms that facilitate accurate prediction of cerebral oxygen saturation using waveform data in the near-infrared range from a multi-modal oxygen saturation sensor. Data were obtained from 150,000 observ...
Oxygen Oxygen Saturation Oximetry Algorithms Female Male Humans Machine Learning
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