Követés
Nikolas Hesse
Nikolas Hesse
University Children's Hospital Zurich
E-mail megerősítve itt: kispi.uzh.ch
Cím
Hivatkozott rá
Hivatkozott rá
Év
Multi-view facial expression recognition using local appearance features
N Hesse, T Gehrig, H Gao, HK Ekenel
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
572012
Learning an infant body model from RGB-D data for accurate full body motion analysis
N Hesse, S Pujades, J Romero, MJ Black, C Bodensteiner, M Arens, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
552018
Computer vision for medical infant motion analysis: state of the art and RGB-D data set
N Hesse, C Bodensteiner, M Arens, UG Hofmann, R Weinberger, ...
Computer Vision - ECCV 2018 Workshops, 32-49, 2018
532018
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
N Hesse, S Pujades, M Black, M Arens, U Hofmann, S Schroeder
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
482019
Estimating body pose of infants in depth images using random ferns
N Hesse, G Stachowiak, T Breuer, M Arens
Proceedings of the IEEE International Conference on Computer Vision …, 2015
442015
The virtual caliper: Rapid creation of metrically accurate avatars from 3D measurements
S Pujades, B Mohler, A Thaler, J Tesch, N Mahmood, N Hesse, ...
IEEE transactions on visualization and computer graphics 25 (5), 1887-1897, 2019
342019
Body pose estimation in depth images for infant motion analysis
N Hesse, AS Schröder, W Müller-Felber, C Bodensteiner, M Arens, ...
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
272017
General Movement Assessment from videos of computed 3D infant body models is equally effective compared to conventional RGB video rating
AS Schroeder, N Hesse, R Weinberger, U Tacke, L Gerstl, A Hilgendorff, ...
Early Human Development 144, 104967, 2020
172020
Markerless motion analysis for early detection of infantile movement disorders
N Hesse, A Sebastian Schroeder, W Müller-Felber, C Bodensteiner, ...
EMBEC & NBC 2017: Joint Conference of the European Medical and Biological …, 2018
112018
Skinned Multi-Person Linear Model
S Pujades, J Romero, M Black, N Hesse
US Patent App. 16/550,266, 2020
72020
Multi-view facial expression classification
N Hesse
Diploma Karlsruher Institutfür Technologie, 2011
32011
Developmental neurology–networked medicine and new perspectives
U Tacke, H Weigand-Brunnhölzl, A Hilgendorff, RM Giese, AW Flemmer, ...
Der Nervenarzt 88, 1395-1401, 2017
22017
Quantitative motion measurements based on markerless 3D full-body tracking in children with SMA highly correlate with standardized motor assessments
A Blaschek, N Hesse, B Warken, K Vill, T Well, C Hodek, F Heinen, ...
Journal of Neuromuscular Diseases 9 (1), 121-128, 2022
12022
Analyse der Spontanmotorik im 1. Lebensjahr: Markerlose 3-D-Bewegungserfassung zur Früherkennung von Entwicklungsstörungen
C Parisi, N Hesse, U Tacke, S Pujades, A Blaschek, M Hadders-Algra, ...
Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz 63 (7), 881-890, 2020
12020
Skinned multi-infant linear body model
N Hesse, S Pujades, J Romero, M Black
US Patent 11,127,163, 2021
2021
Analysis of motor development within the first year of life: 3-D motion tracking without markers for early detection of developmental disorders
C Parisi, N Hesse, U Tacke, S Pujades Rocamora, A Blaschek, ...
Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz 63, 881-890, 2020
2020
Skinned multi-infant linear body model
S Pujades, J Romero, M Black, N Hesse
2020
Unobtrusive medical infant motion analysis from RGB-D data
N Hesse
Dissertation, Universität Freiburg, 2019, 2019
2019
FV 318. Infant Automated Motion Recognition Technology Using RGB-Depth Sensors for Markerless, Rater-Independent Detection of Abnormal Movements in Early Infancy—In a Motion …
S Schröder, N Hesse, U Tacke, R Weinberger, A Schulz, K Vill, ...
Neuropediatrics 49 (S 02), FV318, 2018
2018
Infant automated motion recognition technology using RGB-depth sensors for marker-less, rater-independent detection of abnormal movements in early infancy-in a motion project
S Schröder, N Hesse, U Tacke, R Weinberger, A Schulz, K Vill, ...
2018
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Cikkek 1–20