Faezeh Marzbanrad

MONASH UNIVERSITY

Australia

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Articles (14)

Automated detection of pediatric congenital heart disease from phonocardiograms using deep and handcrafted feature fusion

Year:

2025

NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning

Year:

2024

Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation

Year:

2023

Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation

Year:

2023

Investigating Physiological and Behavioral Sensing Modalities Toward Drowsiness Detection

Year:

2023

Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection

Year:

2022

Neonatal Bowel Sound Detection Using Convolutional Neural Network and Laplace Hidden Semi-Markov Model

Year:

2022

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications

Year:

2022

A gold nanowire-integrated soft wearable system for dynamic continuous non-invasive cardiac monitoring

Year:

2022

Publisher Correction: Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection

Year:

2022

A Blind Filtering Framework for Noisy Neonatal Chest Sounds

Year:

2022

Automated Detection of Major Depressive Disorder With EEG Signals: A Time Series Classification Using Deep Learning

Year:

2022

Neonatal Heart and Lung Sound Quality Assessment for Robust Heart and Breathing Rate Estimation for Telehealth Applications

Year:

2021

Fusion of multi-scale bag of deep visual words features of chest X-ray images to detect COVID-19 infection

Year:

2021

Collaborators (9)

Anusha Withana

University of Sydney

AUSTRALIA

Guy A Dumont

-

CANADA

Kenneth Tan

MONASH UNIVERSITY

AUSTRALIA

Reza Sameni

Emory University

UNITED STATES

Michael Burke

Lecturer

MONASH UNIVERSITY

AUSTRALIA

Mehrtash Harandi

Assoc Professor

MONASH UNIVERSITY

AUSTRALIA

Alistair McEwan

Professor

University of Sydney

AUSTRALIA

Omid Kavehei

Associate Professor

University of Sydney

AUSTRALIA

Shu Gong

MONASH UNIVERSITY

AUSTRALIA

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