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Saga Helgadottir
Saga Helgadottir
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Title
Cited by
Cited by
Year
Quantitative digital microscopy with deep learning
B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe
Applied Physics Reviews 8 (1), 2021
1002021
Digital video microscopy enhanced by deep learning
S Helgadottir, A Argun, G Volpe
Optica 6 (4), 506-513, 2019
952019
Vitamin C pretreatment enhances the antibacterial effect of cold atmospheric plasma
S Helgadóttir, S Pandit, VRSS Mokkapati, F Westerlund, P Apell, ...
Frontiers in cellular and infection microbiology 7, 43, 2017
522017
Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning
A Pina, S Helgadottir, RM Mancina, C Pavanello, C Pirazzi, T Montalcini, ...
European journal of preventive cardiology 27 (15), 1639-1646, 2020
482020
Extracting quantitative biological information from bright-field cell images using deep learning
S Helgadottir, B Midtvedt, J Pineda, A Sabirsh, C B Adiels, S Romeo, ...
Biophysics Reviews 2 (3), 2021
302021
Combination of cold atmospheric plasma and vitamin C effectively disrupts bacterial biofilms
S Pandit, VRSS Mokkapati, SH Helgadóttir, F Westerlund, I Mijakovic
Clinical Microbiology 6 (3), 2017
192017
Improving epidemic testing and containment strategies using machine learning
L Natali, S Helgadottir, OM Marago, G Volpe
Machine Learning: Science and Technology 2 (3), 035007, 2021
82021
Quantitative digital microscopy with deep learning
B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe
arXiv preprint arXiv:2010.08260, 2020
82020
Deeptrack 2.0
B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe
82020
Enhanced prediction of atrial fibrillation and mortality among patients with congenital heart disease using nationwide register-based medical hospital data and neural networks
KW Giang, S Helgadottir, M Dellborg, G Volpe, Z Mandalenakis
European Heart Journal-Digital Health 2 (4), 568-575, 2021
32021
Digital microscopy enhanced by deep learning
S Helgadottir, A Argun, G Volpe
Optical Manipulation and Its Applications, AT2E. 5, 2019
22019
Dynamic live/apoptotic cell assay using phase-contrast imaging and deep learning
Z Korczak, J Pineda, S Helgadottir, B Midtvedt, M Goksör, G Volpe, ...
bioRxiv, 2022.07. 18.500422, 2022
12022
Soft Matter Lab
A Callegari
Nature Communications 14, 7324, 2023
2023
Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning
S Helgadottir, S Romeo, G Volpe
Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 118041C, 2021
2021
Quantitative biological analysis of brightfield cell images using deep learning
JD Pineda, S Helgadottir, B Midtvedt, A Abirsh, CB Adiels, S Romeo, ...
Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 118041H, 2021
2021
Virtual live/dead cell assay using deep learning
Z Korczak, JD Pineda, S Helgadottir, G Volpe, CB Adiels
Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 1180424, 2021
2021
Deep Learning Applications-From image analysis to medical diagnosis
S Helgadottir
2021
Digital video microscopy with deep learning
S Helgadottir, A Argun, G Volpe
Emerging Topics in Artificial Intelligence 2020 11469, 1146918, 2020
2020
Digital video microscopy enhanced by deep learning: supplementary material
S HELGADOTTIR, A ARGUN, G VOLPE
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Articles 1–19