Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks-Reference-Cited by-同舟云学术

Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Zhang Haozheng¹,Shum Hubert P.H.¹,Ho Edmond S.L.²

Affiliation:

1. Durham University,the United Kingdom

2. Northumbria University,the United Kingdom

Funder

Royal Society

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871230.pdf?arnumber=9871230

Reference24 articles.

1. Openpose: Realtime multi-person 2d pose estimation using part affinity fields;cao;ArXiv e-prints,2018

2. Computer vision for medical infant motion analysis: State of the art and RGB-D data set;hesse;ECCV Workshops 2018,2018

3. A pose-based feature fusion and classification framework for the early prediction of cerebral palsy in infants;mccay;IEEE Transactions on Neural Systems and Rehabilitation Engineering,2021

4. Establishing Pose Based Features Using Histograms for the Detection of Abnormal Infant Movements

5. RGB-D Videos-Based Early Prediction of Infant Cerebral Palsy via General Movements Complexity

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2. A Review of State-of-the-arts Sensing Techniques for the Ultra-early Screening of Cerebral Palsy;2023 IEEE International Conference on Real-time Computing and Robotics (RCAR);2023-07-17