Neonatal Face and Facial Landmark Detection from Video Recordings-Reference-Cited by-同舟云学术

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Neonatal Face and Facial Landmark Detection from Video Recordings

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Grooby Ethan¹,Sitaula Chiranjibi¹,Ahani Soodeh²,Holsti Liisa²,Malhotra Atul³,Dumont Guy A.²,Marzbanrad Faezeh¹

Affiliation:

1. Monash University,Department of Electrical and Computer Systems Engineering,Melbourne,VIC,Australia

2. BC Children’s Hospital Research Institute,Vancouver,Canada

3. Monash University,Monash Newborn, Monash Children’s Hospital,Department of Paediatrics,Melbourne,VIC,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10339936/10339939/10340960.pdf?arnumber=10340960

Reference28 articles.

1. NICUface: Robust Neonatal Face Detection in Complex NICU Scenes

2. Non-Contact Automatic Vital Signs Monitoring of Infants in a Neonatal Intensive Care Unit Based on Neural Networks

3. Noncontact Neonatal Respiration Rate Estimation Using Machine Vision

4. Artificial intelligence-driven wearable technologies for neonatal cardiorespiratory monitoring: Part 1 wearable technology

5. Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accurate Neonatal Face Detection for Improved Pain Classification in the Challenging NICU Setting;IEEE Access;2024

2. Challenges and prospects of visual contactless physiological monitoring in clinical study;npj Digital Medicine;2023-12-15

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