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Lars Adde
Also published under:
Affiliation
Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
Topic
Cerebral Palsy,Body Parts,Fast Fourier Transform,Magnetometer,Motion Data,Partial Least Squares Regression,Post-term,Sensor Data,Video Camera,Attribution Scores,Class Activation Maps,Color Code,Convolutional Neural Network,Convolutional Neural Network Model,Cross-validated Model,Deep Learning,Deep Learning Models,Diagnosis Of Cerebral Palsy,Discrimination Thresholds,Dyskinesia,Early Age,Effects Of Brain Injury,Ensemble Model,Explainable AI Methods,Explainable Artificial Intelligence,False Discovery Rate,Feature Reduction Methods,Feature Selection Methods,Final Layer,Frequency Analysis,Frequency Bins,Global Average Pooling,Gradient-weighted Class Activation Mapping,Graph Convolutional Network,Graph Convolutional Network Model,Healthy Group,Healthy Ones,Human Activity Recognition,Individual Models,Least Squares Regression,Leave-one-out Cross-validation,Magnetic Resonance Imaging,Medical Applications,Mental Representations,Minor Perturbations,Motion Estimation,Motion Information,Movement Assessment,Movement Patterns,Movements Of Body Parts,
Biography
Lars Adde was born in Oslo, Norway, in 1962. He was educated as a physiotherapist in Oslo, Norway, in 1988, and received the Ph.D. degree in 2010.
Currently, he has a postdoctoral position at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. His research work has focused on the qualitative and quantitative assessment of spontaneous movements (general movements) in young infants and early prediction of Cerebral Palsy. This work has involved the use of various methodological approaches, in particular the use of computer-based video analysis techniques. He has collaborated with more than 30 colleagues from 10 university hospitals from around the world. During the last 20 years he has worked with diagnostics and treatment of young infants and children. His interest has in particular been assessment and follow-up of premature born infants and he was trained in the Prechtl's method on the qualitative assessment of general movements during the period 2000–2005. He is now a Coordinator in a multicenter study ongoing in Norway, India, Italy, and the United States, validating and developing a computer-based video analysis tool for early assessment of general movements and prediction of neurological outcomes.
Currently, he has a postdoctoral position at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. His research work has focused on the qualitative and quantitative assessment of spontaneous movements (general movements) in young infants and early prediction of Cerebral Palsy. This work has involved the use of various methodological approaches, in particular the use of computer-based video analysis techniques. He has collaborated with more than 30 colleagues from 10 university hospitals from around the world. During the last 20 years he has worked with diagnostics and treatment of young infants and children. His interest has in particular been assessment and follow-up of premature born infants and he was trained in the Prechtl's method on the qualitative assessment of general movements during the period 2000–2005. He is now a Coordinator in a multicenter study ongoing in Norway, India, Italy, and the United States, validating and developing a computer-based video analysis tool for early assessment of general movements and prediction of neurological outcomes.