Search Results - "Adde, Lars"

Experiences Among Health Care Personnel with Remote General Movement Assessment for the Prediction of Cerebral Palsy in High-Risk Infants.

Authors: Similä, Wenche Ann Adde, Lars

Source: Journal of Clinical Medicine. Oct2025, Vol. 14 Issue 20, p7390. 12p.

Choose your explanation: a comparison of SHAP and Grad-CAM in human activity recognition.

Authors: Tempel, Felix Groos, Daniel Ihlen, Espen Alexander F. et al.

Source: Applied Intelligence; Nov2025, Vol. 55 Issue 17, p1-20, 20p

Doing Everything We Can to Help Our High-Risk Newborns: A Qualitative, Lifeworld-Led Study of What Early Risk Assessment for Cerebral Palsy Means to Parents.

Authors: Åberg, Kristin Bjørnstad Dahlberg, Karin Størvold, Gunfrid Vinje et al.

Source: Journal of Clinical Medicine. Apr2025, Vol. 14 Issue 8, p2740. 18p.

Development of Movement and Postural Patterns in Full-Term Infants Who Are at Low Risk in Belgium, India, Norway, and the United States.

Authors: Boswell, Lynn Adde, Lars Fjørtoft, Toril et al.

Source: PTJ: Physical Therapy & Rehabilitation Journal. Oct2024, Vol. 104 Issue 10, p1-10.

Characteristics of general movements in preterm infants assessed by computer-based video analysis.

Authors: Adde, Lars Yang, Hong Sæther, Rannei et al.

Source: Physiotherapy Theory & Practice. Apr2018, Vol. 34 Issue 4, p286-292. 7p. 1 Black and White Photograph, 1 Diagram, 2 Charts.

Identification of fidgety movements and prediction of CP by the use of computer-based video analysis is more accurate when based on two video recordings.

Authors: Adde, Lars Helbostad, Jorunn Jensenius, Alexander R. et al.

Source: Physiotherapy Theory & Practice. Aug2013, Vol. 29 Issue 6, p469-475. 7p.

Towards human-level performance on automatic pose estimation of infant spontaneous movements.

Authors: Groos, Daniel Adde, Lars Støen, Ragnhild et al.

Source: Computerized Medical Imaging & Graphics; Jan2022, Vol. 95, pN.PAG-N.PAG, 1p

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.

Authors: Støen, Ragnhild Boswell, Lynn de Regnier, Raye-Ann et al.

Source: Journal of Clinical Medicine. Nov2019, Vol. 8 Issue 11, p1790-1790. 1p.

Machine Learning of Infant Spontaneous Movements for the Early Prediction of Cerebral Palsy: A Multi-Site Cohort Study.

Authors: Ihlen, Espen A. F. Støen, Ragnhild Boswell, Lynn et al.

Source: Journal of Clinical Medicine. Jan2020, Vol. 9 Issue 1, p5-5. 1p.

Correlates of Normal and Abnormal General Movements in Infancy and Long-Term Neurodevelopment of Preterm Infants: Insights from Functional Connectivity Studies at Term Equivalence.

Authors: Peyton, Colleen Einspieler, Christa Fjørtoft, Toril et al.

Source: Journal of Clinical Medicine. Mar2020, Vol. 9 Issue 3, p834. 1p.

Development and Validation of a Deep Learning Method to Predict Cerebral Palsy From Spontaneous Movements in Infants at High Risk.

Authors: Groos, Daniel Adde, Lars Aubert, Sindre et al.

Source: JAMA network open 7/1/2022; Vol. 5 (7).

Journal Info: Publisher: American Medical Association ISSN: 2574-3805