Ethan Grooby

Orcid: 0000-0002-1563-4976

According to our database1, Ethan Grooby authored at least 10 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds.
IEEE J. Biomed. Health Informatics, June, 2023

Real-time Neonatal Chest Sound Separation using Deep Learning.
CoRR, 2023

Neonatal Face and Facial Landmark Detection from Video Recordings.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Detecting Patent Ductus Arteriosus in Neonatal Phonocardiograms.
Proceedings of the Computing in Cardiology, 2023

2022
Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications.
IEEE Access, 2022

A Blind Filtering Framework for Noisy Neonatal Chest Sounds.
IEEE Access, 2022

Prediction of Neonatal Respiratory Distress in Term Babies at Birth from Digital Stethoscope Recorded Chest Sounds.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Fusion of Handcrafted Feature-Based and Deep Learning Classifiers for Heart Murmur Detection.
Proceedings of the Computing in Cardiology, 2022

2021
Neonatal Heart and Lung Sound Quality Assessment for Robust Heart and Breathing Rate Estimation for Telehealth Applications.
IEEE J. Biomed. Health Informatics, 2021

A New Non-Negative Matrix Co-Factorisation Approach for Noisy Neonatal Chest Sound Separation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021


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