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Angelika Skarysz
Angelika Skarysz
PhD, Department of Computer Science, Loughborough University
Verified email at lboro.ac.uk
Title
Cited by
Cited by
Year
Diagnosis of COVID-19 by analysis of breath with gas chromatography-ion mobility spectrometry-a feasibility study
DM Ruszkiewicz, D Sanders, R O'Brien, F Hempel, MJ Reed, AC Riepe, ...
EClinicalMedicine 29, 2020
2162020
Convolutional neural networks for automated targeted analysis of raw gas chromatography–mass spectrometry data
A Skarysz, Y Alkhalifah, K Darnley, M Eddleston, Y Hu, DB McLaren, ...
2018 International Joint Conference on Neural Networks, 2018
282018
Diagnosis of COVID-19 by Analysis of Breath with Gas Chromatography-Ion Mobility Spectrometry: A Feasibility Study (preprint)
D Ruszkiewicz, D Sanders, R O’Brien, F Hempel, M Reed, A Riepe, ...
142020
EClinicalMedicine, 2020
DM Ruszkiewicz, D Sanders, R O’Brien, F Hempel, MJ Reed, AC Riepe, ...
29 30, 100609, 2020
102020
Fast and automated biomarker detection in breath samples with machine learning
A Skarysz, D Salman, M Eddleston, M Sykora, E Hunsicker, WH Nailon, ...
Plos one 17 (4), e0265399, 2022
32022
A deep learning-based system for fast and automated detection of volatile organic compounds in raw gas chromatography-mass spectrometry breath data
A Skarysz
Loughborough University, 2021
2021
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