AIMC Topic: Sheep

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Transformer-Based Wavelet-Scalogram Deep Learning for Improved Seizure Pattern Recognition in Post-Hypoxic-Ischemic Fetal Sheep EEG.

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
Hypoxic-ischemic (HI) events in newborns can trigger seizures, which are highly associated with later neurodevelopmental impairment. The precise detection of these seizures is a complex task requiring considerable very specialized expertise, undersco...
Animals Deep Learning Electroencephalography Algorithms Pregnancy Female Pattern Recognition, Automated Fetus Wavelet Analysis Hypoxia-Ischemia, Brain Seizures Signal Processing, Computer-Assisted Sheep Neural Networks, Computer
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2D Wavelet-Scalogram Deep-Learning for Seizures Pattern Identification in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Neonatal seizures after an hypoxic-ischemic (HI) event in preterm newborns can contribute to neural injury and cause impaired brain development. Preterm neonatal seizures are often not detected or their occurrence underestimated. Therefore, there is ...
Fuzzy Logic Seizures Animals Electroencephalography Fetus Hypoxia Epilepsy Deep Learning Sheep Wavelet Analysis
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Predictability of carcass traits in live Tan sheep by real-time ultrasound technology with least-squares support vector machines.

Animal science journal = Nihon chikusan Gakkaiho Jan 1, 2022
This study aimed to investigate the performance of least-squares support vector machines to predict carcass characteristics in Tan sheep using noninvasive in vivo measurements. A total of 80 six-month-old Tan sheep (37 rams and 43 ewes) were examined...
Female Animals Male Technology Adipose Tissue Least-Squares Analysis Meat Body Composition Ultrasonography Support Vector Machine Muscle, Skeletal Sheep
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Toward cardiac tissue characterization using machine learning and light-scattering spectroscopy.

Journal of biomedical optics Nov 1, 2021
SIGNIFICANCE: The non-destructive characterization of cardiac tissue composition provides essential information for both planning and evaluating the effectiveness of surgical interventions such as ablative procedures. Although several methods of tiss...
Sheep Spectrum Analysis Neural Networks, Computer Machine Learning Animals Image Processing, Computer-Assisted Fiber Optic Technology
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Early Detection of Hypotension Using a Multivariate Machine Learning Approach.

Military medicine Jan 25, 2021
INTRODUCTION: The ability to accurately detect hypotension in trauma patients at the earliest possible time is important in improving trauma outcomes. The earlier an accurate detection can be made, the more time is available to take corrective action...
Sheep Models, Theoretical Support Vector Machine Hypotension Neural Networks, Computer Machine Learning Animals
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Wavelet Spectral Time-Frequency Training of Deep Convolutional Neural Networks for Accurate Identification of Micro-Scale Sharp Wave Biomarkers in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Neonatal hypoxic-ischemic encephalopathy (HIE) evolves over different phases of time during recovery. Some neuroprotection treatments are only effective for specific, short windows of time during this evolution of injury. Clinically, we often do not ...
Sheep Wavelet Analysis Animals Fuzzy Logic Electroencephalography Biomarkers Humans Pregnancy Neural Networks, Computer Female Infant, Newborn
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Deep Convolutional Neural Network and Reverse Biorthogonal Wavelet Scalograms for Automatic Identification of High Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Diagnosis of hypoxic-ischemic encephalopathy (HIE) is currently limited and prognostic biological markers are required for early identification of at risk infants at birth. Using pre-clinical data from our fetal sheep models, we have shown that micro...
Pregnancy Female Animals Fuzzy Logic Electroencephalography Hypoxia Neural Networks, Computer Sheep Wavelet Analysis
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Wavelet Spectral Deep-training of Convolutional Neural Networks for Accurate Identification of High-Frequency Micro-Scale Spike Transients in the Post-Hypoxic-Ischemic EEG of Preterm Sheep.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Early diagnosis and prognosis of babies with signs of hypoxic-ischemic encephalopathy (HIE) is currently limited and requires reliable prognostic biomarkers to identify at risk infants. Using our pre-clinical fetal sheep models, we have demonstrated ...
Infant, Newborn Animals Fuzzy Logic Sheep Neural Networks, Computer Humans Electroencephalography Wavelet Analysis Pregnancy Hypoxia Female
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2D Wavelet Scalogram Training of Deep Convolutional Neural Network for Automatic Identification of Micro-Scale Sharp Wave Biomarkers in the Hypoxic-Ischemic EEG of Preterm Sheep.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We have recently demonstrated that micro-scale Sharp waves in the first few hours EEG of asphyxiated preterm fetal sheep models are the reliable prognostic biomarkers for Hypoxic-Ischemic Encephalopathy (HIE). Higher number of sharp waves within the ...
Animals, Newborn Wavelet Analysis Hypothermia, Induced Neural Networks, Computer Electroencephalography Hypoxia-Ischemia, Brain Signal Processing, Computer-Assisted Sheep Biomarkers Animals
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Low dose CT reconstruction via L1 norm dictionary learning using alternating minimization algorithm and balancing principle.

Journal of X-ray science and technology Jan 1, 2018
Excessive radiation exposure in computed tomography (CT) scans increases the chance of developing cancer and has become a major clinical concern. Recently, statistical iterative reconstruction (SIR) with l0-norm dictionary learning regularization has...
Supervised Machine Learning Sheep Animals Humans Phantoms, Imaging Lung Algorithms Image Processing, Computer-Assisted Tomography, X-Ray Computed
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