| Quantitative digital microscopy with deep learning B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe Applied Physics Reviews 8 (1), 2021 | 117 | 2021 |
| Digital video microscopy enhanced by deep learning S Helgadottir, A Argun, G Volpe Optica 6 (4), 506-513, 2019 | 103 | 2019 |
| 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 | 54 | 2020 |
| 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 | 53 | 2017 |
| 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 | 38 | 2021 |
| 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 | 20 | 2017 |
| Roadmap on deep learning for microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... ArXiv, 2023 | 18 | 2023 |
| 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 | 10 | 2021 |
| Quantitative digital microscopy with deep learning B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe arXiv preprint arXiv:2010.08260, 2020 | 9 | 2020 |
| Deeptrack 2.0 B Midtvedt, S Helgadottir, A Argun, J Pineda, D Midtvedt, G Volpe | 9 | 2020 |
| 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 | 4 | 2021 |
| 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 | 1 | 2022 |
| Soft Matter Lab G Volpe, C Adiels, D Midtvedt, G Pesce, A Callegari, CH Blomqvist, ... | | 2024 |
| 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 | | |
