نتائج البحث - "Georgievska, Sonja"

1

Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy:A novel approach using markerless motion tracking and machine learning

المؤلفون: Haberfehlner, Helga, van de Ven, Shankara S., van der Burg, Sven A., Huber, Florian, Georgievska, Sonja, Aleo, Ignazio, Harlaar, J., Bonouvrié, Laura A., van der Krogt, Marjolein M., Buizer, Annemieke I.

المساهمون: Rehabilitation medicine, AMS - Rehabilitation & Development, Amsterdam Movement Sciences - Restoration and Development, Amsterdam Neuroscience - Cellular & Molecular Mechanisms

المصدر: Haberfehlner, H, van de Ven, S S, van der Burg, S A, Huber, F, Georgievska, S, Aleo, I, Harlaar, J, Bonouvrié, L A, van der Krogt, M M & Buizer, A I 2023, ' Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy : A novel approach using markerless motion tracking and machine learning ', Frontiers in Robotics and AI, vol. 10, 1108114 . https://doi.org/10.3389/frobt.2023.1108114Test
Frontiers in Robotics and AI, 10:1108114. Frontiers Media S.A.
Frontiers In Robotics and AI, 10

مصطلحات موضوعية: Technology, cerebral palsy, markerless skeleton tracking, Science & Technology, human pose estimation, CHILDREN, Robotics, Computer Science Applications, machine learning, YOUTH, Artificial Intelligence, motion capture, movement disorders, VALIDITY, SCALE, CHOREOATHETOSIS

وصف الملف: Electronic-eCollection; application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::393e9f86c7c09fc4ec699f894d9cf7fcTest
https://research.vumc.nl/en/publications/4a782403-c47e-402c-9b41-32e5f647eb09Test

2

Using Deep Learning in Stroke Rehabilitation - A step towards individualized patient care

المؤلفون: David, Sina, Georgievska, Sonja, Liu, Yang, Geng, Cunliang, Punt, Michiel

المساهمون: Neuromechanics, AMS - Rehabilitation & Development

المصدر: Deutsche Gesellschaft für Biomechanik
David, S, Georgievska, S, Liu, Y, Geng, C & Punt, M 2022, ' Using Deep Learning in Stroke Rehabilitation-A step towards individualized patient care ', Paper presented at Deutsche Gesellschaft für Biomechanik, Cologne, Germany, 28/09/22-30/09/22 .

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::95fad68028fd398fa13dbec2850a6676Test
https://hdl.handle.net/1871.1/1b737aa3-5402-4396-9330-36c2bd8df994Test

3

DeepRank: a deep learning framework for data mining 3D protein-protein interfaces

المؤلفون: Renaud, Nicolas, Geng, Cunliang, Georgievska, Sonja, Ambrosetti, Francesco, Ridder, Lars, Marzella, Dario F., Réau, Manon F., Bonvin, Alexandre M.J.J., Xue, Li C., Sub NMR Spectroscopy, NMR Spectroscopy

المساهمون: Sub NMR Spectroscopy, NMR Spectroscopy

المصدر: Nature Communications, 12, 1
Nature Communications, 12
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Nature Communications
Nature Communications, 12(1), 1. Nature Publishing Group

مصطلحات موضوعية: Chemistry(all), Computer science, Science, Cancer development and immune defence Radboud Institute for Molecular Life Sciences [Radboudumc 2], Datasets as Topic, General Physics and Astronomy, Physics and Astronomy(all), 010402 general chemistry, computer.software_genre, 01 natural sciences, Convolutional neural network, Biochemistry, Article, General Biochemistry, Genetics and Molecular Biology, Ranking (information retrieval), 03 medical and health sciences, Deep Learning, Protein Interaction Mapping, Machine learning, Data Mining, Protein Interaction Domains and Motifs, Relevance (information retrieval), Protein Interaction Maps, 030304 developmental biology, 0303 health sciences, Crystallography, Multidisciplinary, Biochemistry, Genetics and Molecular Biology(all), business.industry, Protein protein, Deep learning, General Chemistry, 0104 chemical sciences, Molecular Docking Simulation, Structural biology, Protein structure predictions, DECIPHER, Molecular modelling, Artificial intelligence, Data mining, business, computer, Software, Genetics and Molecular Biology(all)