Hamid Abbasi at The University of Auckland - Research Interests, Publications & Academic Profile

Hamid Abbasi

University of Auckland

New Zealand

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Research Interests

Computational Neuroscience

60%

Systems Neuroscience

70%

Eeg

60%

Neuroscience

40%

Epileptology

30%

Clinical Neurophysiology

30%

Neuroinformatics

30%

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Articles10

Advanced Deep Learning Spectroscopy of Scalogram Infused CNN Classifiers for Robust Identification of Post‐Hypoxic Epileptiform EEG Spikes

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Year:

2021

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.

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Year:

2020

Deep Convolutional Neural Networks for the Accurate Identification of High-Amplitude Stereotypic Epileptiform Seizures in the Post-Hypoxic-Ischemic EEG of Preterm Fetal Sheep.

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Year:

2020

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

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Year:

2020

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

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Year:

2020

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.

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Year:

2020

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.

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Year:

2020

Latent Phase Identification of High-Frequency Micro-Scale Gamma Spike Transients in the Hypoxic Ischemic EEG of Preterm Fetal Sheep Using Spectral Analysis and Fuzzy Classifiers

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Year:

2020

Applications of advanced signal processing and machine learning in the neonatal hypoxic-ischemic electroencephalogram

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Year:

2020

Electroencephalography studies of hypoxic ischemia in fetal and neonatal animal models

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Year:

2020

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