| Attributes and predictors of long COVID CH Sudre, B Murray, T Varsavsky, MS Graham, RS Penfold, RC Bowyer, ... Nature medicine 27 (4), 626-631, 2021 | 2511 | 2021 |
| Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study C Menni, K Klaser, A May, L Polidori, J Capdevila, P Louca, CH Sudre, ... The Lancet Infectious Diseases 21 (7), 939-949, 2021 | 1080 | 2021 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1009 | 2023 |
| A large annotated medical image dataset for the development and evaluation of segmentation algorithms AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ... arXiv preprint arXiv:1902.09063, 2019 | 944 | 2019 |
| Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study M Antonelli, RS Penfold, J Merino, CH Sudre, E Molteni, S Berry, ... The Lancet Infectious Diseases 22 (1), 43-55, 2022 | 837 | 2022 |
| Symptom prevalence, duration, and risk of hospital admission in individuals infected with SARS-CoV-2 during periods of omicron and delta variant dominance: a prospective … C Menni, AM Valdes, L Polidori, M Antonelli, S Penamakuri, A Nogal, ... The Lancet 399 (10335), 1618-1624, 2022 | 777 | 2022 |
| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 729 | 2022 |
| Risk of long COVID associated with delta versus omicron variants of SARS-CoV-2 M Antonelli, JC Pujol, TD Spector, S Ourselin, CJ Steves The Lancet 399 (10343), 2263-2264, 2022 | 481 | 2022 |
| Illness duration and symptom profile in symptomatic UK school-aged children tested for SARS-CoV-2 E Molteni, CH Sudre, LS Canas, SS Bhopal, RC Hughes, M Antonelli, ... The Lancet Child & Adolescent Health 5 (10), 708-718, 2021 | 457 | 2021 |
| Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B. 1.1. 7: an ecological study MS Graham, CH Sudre, A May, M Antonelli, B Murray, T Varsavsky, ... The Lancet Public Health 6 (5), e335-e345, 2021 | 347 | 2021 |
| Common limitations of image processing metrics: A picture story A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ... arXiv preprint arXiv:2104.05642, 2021 | 155 | 2021 |
| Metrics reloaded: Pitfalls and recommendations for image analysis validation L Maier-Hein, B Menze arXiv. org, 2022 | 152* | 2022 |
| Multiobjective evolutionary optimization of type-2 fuzzy rule-based systems for financial data classification M Antonelli, D Bernardo, H Hagras, F Marcelloni IEEE Transactions on Fuzzy Systems 25 (2), 249-264, 2016 | 123 | 2016 |
| Multi-objective evolutionary design of granular rule-based classifiers M Antonelli, P Ducange, B Lazzerini, F Marcelloni Granular Computing 1, 37-58, 2016 | 109 | 2016 |
| Urban and social sensing for sustainable mobility in smart cities G Anastasi, M Antonelli, A Bechini, S Brienza, E D'Andrea, ... 2013 Sustainable Internet and ICT for Sustainability (SustainIT), 1-4, 2013 | 108 | 2013 |
| Genetic training instance selection in multiobjective evolutionary fuzzy systems: A coevolutionary approach M Antonelli, P Ducange, F Marcelloni IEEE Transactions on fuzzy systems 20 (2), 276-290, 2011 | 88 | 2011 |
| A large annotated medical image dataset for the development and evaluation of segmentation algorithms. arXiv 2019 AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ... arXiv preprint arXiv:1902.09063, 2019 | 86 | 2019 |
| A novel approach based on finite-state machines with fuzzy transitions for nonintrusive home appliance monitoring P Ducange, F Marcelloni, M Antonelli IEEE Transactions on Industrial Informatics 10 (2), 1185-1197, 2014 | 86 | 2014 |
| Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework M Antonelli, P Ducange, B Lazzerini, F Marcelloni International Journal of Approximate Reasoning 50 (7), 1066-1080, 2009 | 83 | 2009 |
| Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app K Klaser, EJ Thompson, LH Nguyen, CH Sudre, M Antonelli, B Murray, ... Journal of Neurology, Neurosurgery & Psychiatry 92 (12), 1254-1258, 2021 | 82 | 2021 |
Francesco MarcelloniProfessor of Data Mining and Machine Learning, University of Pisa在 unipi.it 的电子邮件经过验证
