Towards human-level performance on automatic pose estimation of infant spontaneous movements
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Title
Towards human-level performance on automatic pose estimation of infant spontaneous movements
Authors
Keywords
Computer-based risk assessment, Convolutional neural networks, Developmental disorders, Infant pose estimation, Markerless video-based analysis
Journal
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
Volume 95, Issue -, Pages 102012
Publisher
Elsevier BV
Online
2021-11-26
DOI
10.1016/j.compmedimag.2021.102012
References
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Related references
Note: Only part of the references are listed.- In-Motion-App for remote General Movement Assessment: a multi-site observational study
- (2021) Lars Adde et al. BMJ Open
- Approaching human precision on automatic markerless tracking of human movements
- (2020) D. Groos et al. GAIT & POSTURE
- Evaluation of Fidgety Movements of Infants Based on Gestalt Perception Reflects Differences in Limb Movement Trajectory Curvature
- (2019) Hirotaka Gima et al. PHYSICAL THERAPY
- Motor and Postural Patterns Concomitant with General Movements Are Associated with Cerebral Palsy at Term and Fidgety Age in Preterm Infants
- (2019) Fabrizio Ferrari et al. Journal of Clinical Medicine
- The Pooled Diagnostic Accuracy of Neuroimaging, General Movements, and Neurological Examination for Diagnosing Cerebral Palsy Early in High-Risk Infants: A Case Control Study
- (2019) Catherine Morgan et al. Journal of Clinical Medicine
- Cerebral Palsy: Early Markers of Clinical Phenotype and Functional Outcome
- (2019) Einspieler et al. Journal of Clinical Medicine
- The Predictive Accuracy of the General Movement Assessment for Cerebral Palsy: A Prospective, Observational Study of High-Risk Infants in a Clinical Follow-Up Setting
- (2019) Ragnhild Støen et al. Journal of Clinical Medicine
- Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study
- (2019) Espen A. F. Ihlen et al. Journal of Clinical Medicine
- DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
- (2018) Alexander Mathis et al. NATURE NEUROSCIENCE
- The Baby Moves smartphone app for General Movements Assessment: Engagement amongst extremely preterm and term-born infants in a state-wide geographical study
- (2018) Amanda KL Kwong et al. JOURNAL OF PAEDIATRICS AND CHILD HEALTH
- Computer-based video analysis identifies infants with absence of fidgety movements
- (2017) Ragnhild Støen et al. PEDIATRIC RESEARCH
- Early, Accurate Diagnosis and Early Intervention in Cerebral Palsy
- (2017) Iona Novak et al. JAMA Pediatrics
- Fidgety movements – tiny in appearance, but huge in impact
- (2016) Christa Einspieler et al. Jornal de Pediatria
- Weakly supervised motion segmentation with particle matching
- (2015) Hodjat Rahmati et al. COMPUTER VISION AND IMAGE UNDERSTANDING
- Early prediction of cerebral palsy by computer-based video analysis of general movements: a feasibility study
- (2010) LARS ADDE et al. DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY
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