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Chadi Barakat
Chadi Barakat
Doctoral Researcher, University of Iceland
Dirección de correo verificada de hi.is
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Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC): protocol for a multicentre stepped-wedge cluster randomised quality improvement strategy
G Marx, J Bickenbach, SJ Fritsch, JB Kunze, O Maassen, S Deffge, ...
BMJ open 11 (4), e045589, 2021
202021
Practice and experience in using parallel and scalable machine learning with heterogenous modular supercomputing architectures
M Riedel, R Sedona, C Barakat, P Einarsson, R Hassanian, G Cavallaro, ...
2021 IEEE International Parallel and Distributed Processing Symposium …, 2021
112021
An HPC-driven data science platform to speed-up time series data analysis of patients with the acute respiratory distress syndrome
C Barakat, S Fritsch, M Riedel, S Brynjólfsson
2021 44th International Convention on Information, Communication and …, 2021
82021
Lessons learned on using high-performance computing and data science methods towards understanding the acute respiratory distress syndrome (ards)
C Barakat, S Fritsch, K Sharafutdinov, G Ingólfsson, A Schuppert, ...
2022 45th Jubilee International Convention on Information, Communication and …, 2022
52022
Analysis of chest X-ray for COVID-19 diagnosis as a use case for an HPC-enabled data analysis and machine learning platform for medical diagnosis support
C Barakat, M Aach, A Schuppert, S Brynjólfsson, S Fritsch, M Riedel
Diagnostics 13 (3), 391, 2023
32023
Design and Evaluation of Parallel and Scalable Machine Learning Research in Biomedical Modelling Applications
C Barakat
University of Iceland, School of Engineering and Natural Sciences, Faculty …, 2023
2023
Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome
CS Barakat, K Sharafutdinov, J Busch, S Saffaran, DG Bates, JG Hardman, ...
Diagnostics 13 (12), 2098, 2023
2023
Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC
M Riedel, C Barakat, S Fritsch, M Aach, J Busch, A Lintermann, ...
2023 46th MIPRO ICT and Electronics Convention (MIPRO), 435-440, 2023
2023
Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable …
C Barakat, M Riedel, S Brynjólfsson, G Cavallaro, J Busch, R Sedona
2021 44th International Convention on Information, Communication and …, 2021
2021
Protocol: Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC): protocol for a multicentre stepped-wedge cluster randomised quality …
G Marx, J Bickenbach, SJ Fritsch, JB Kunze, O Maassen, S Deffge, ...
BMJ Open 11 (4), 2021
2021
VIRTUAL-Fourth BigBrain Workshop: Launch of the Helmholtz International BigBrain Analytics Learning Laboratory (HIBALL)-a pre-OHBM event
O Wiestler, S Sparwasser, M Crago, W Marquardt, R Quirion, P Swieboda, ...
Update, 2020
2020
Bauman, T. 1130 Bedi, K. 750 Bednjanec, A. 1754
M Aach, A Abiola Periola, I Aedo, S Ahadzhanova, ...
SMITH Science Day 2022
R Polzin, K Sharafutdinov, H Mayer, C Barakat, G Marx, J Bickenbach, ...
SMITH Science Day 2022
C Barakat, K Sharafutdinov, A Schuppert, S Fritsch, M Riedel
SMITH Science Day 2022
K Sharafutdinov, SJ Fritsch, R Polzin, H Mayer, C Barakat, G Marx, ...
2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)| 978-1-6654-3577-2/20/$31.00© 2021 IEEE| DOI: 10.1109/IPDPSW52791. 2021.00161
TS Abdelrahman, JC Adams, A Aditya, E Afgan, M Agostini, M Agung, ...
Modelling and Evaluation of Serial and Parallel Density-Based Clustering for Acute Respiratory Distress Syndrome
C Barakat
Additional info
ERFSC Japanese, PKIDA Turkish
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Artículos 1–18