Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework

9 June 2021

Papers citing "Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework"

4 / 4 papers shown

Title
CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy Hao Zhang Edmond S. L. Ho Hubert P. H. Shum 60 7 0 06 Sep 2022
Weakly Supervised Online Action Detection for Infant General MovementsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022 Tong Luo Jia Xiao Chuncao Zhang Siheng Chen Yuan Tian Guangjun Yu K. Dang Xiaowei Ding 86 4 0 07 Aug 2022
Infant movement classification through pressure distribution analysisCommunications Medicine (CM), 2022 Tomas Kulvicius Dajie Zhang K. Nielsen‐Saines Sven Bolte M. Kraft Christa Einspieler Luise Poustka Florentin Wörgötter Peter B Marschik 102 11 0 26 Jul 2022
Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional NetworksAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022 Hao Zhang Hubert P. H. Shum Edmond S. L. Ho 51 12 0 23 Apr 2022