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Maged Helmy
Maged Helmy
Associate Professor in AI, USN, Norway
Verified email at uio.no - Homepage
Title
Cited by
Cited by
Year
Capillarynet: an automated system to quantify skin capillary density and red blood cell velocity from handheld vital microscopy
MAH Abdou, TT Truong, A Dykyy, P Ferreira, E Jul
Artificial Intelligence in Medicine 127, 102287, 2022
8*2022
A fast and simple modification of Newton's method helping to avoid saddle points
TT Truong, TD To, TH Nguyen, TH Nguyen, HP Nguyen, M Helmy
arXiv preprint arXiv:2006.01512, 2020
5*2020
Deep learning and computer vision techniques for microcirculation analysis: A review
M Helmy, TT Truong, E Jul, P Ferreira
Patterns 4 (1), 2023
42023
Capillaryx: a software design pattern for analyzing medical images in real-time using deep learning
MAH Abdou, P Ferreira, E Jul, TT Truong
arXiv preprint arXiv:2204.08462, 2022
42022
Wireless power transmission enhancement using magnetic resonance coupling
M Abdou, A El-Tager
2016 International Conference on Signal Processing, Communication, Power and …, 2016
32016
Using machine learning for identifying ping failure in Large Network Topology
M Helmy, AA Arntzen Bechina, A Siqveland
Economics of Grids, Clouds, Systems, and Services: 15th International …, 2019
12019
CAPILLARY ANALYSIS
M Helmy, A Dykyy, S Måsøy, H Bryhni
US Patent App. 18/280,369, 2024
2024
A modification of quasi-Newton's methods helping to avoid saddle points
MH Tuyen Trung Truong, Tat Dat To, Tuan Hang Nguyen, Thu Hang Nguyen, Hoang ...
https://arxiv.org/abs/2006.01512, 2020
2020
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