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Hamid Abbasi

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University of Auckland

New Zealand

Research Interests

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Professors in New Zealand Professors in Neuroscience Neuroscience professors in New Zealand

Recent Grants

Grant: Open

Early diagnosis for lifelong impact: Technology to detect perinatal brain injury

Open Date: 2025-01-01

Close Date: 2029-01-01

Grant: Close

Technology for optimizing precision in Neurosurgery

Open Date: 2023-10-01

Close Date: 2026-09-30

Grant: Open

Pathogenesis, detection and treatment of perinatal brain injury

Open Date: 2022-01-01

Close Date: 2027-01-01

Articles (10)

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2021

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2020

ApplyKite TwinLearns as you apply

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Hamid Abbasi

Research Interests

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Recent Grants

Articles (10)

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

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.

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

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.

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.

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.

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.

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

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

Electroencephalography studies of hypoxic ischemia in fetal and neonatal animal models

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