| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods, 1-13, 2024 | 34 | 2024 |
| Correlates of risk for disinhibited behaviors in the Million Veteran Program Cohort PB Barr, TB Bigdeli, JL Meyers, RE Peterson, S Sanchez-Roige, ... JAMA psychiatry 81 (2), 188-197, 2024 | | 2024 |
| A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications. L Innocenti, S Ourselin, V Goh, M Antonelli, M Lorenzi bioRxiv, 2024.05. 27.596048, 2024 | | 2024 |
| Symptoms before and after COVID-19: a population and case-control study using prospective data CH Sudre, M Antonelli, NJ Cheetham, E Molteni, LS Canas, V Bowyer, ... European Respiratory Journal, 2024 | | 2024 |
| SARS-CoV-2 infection following booster vaccination: illness and symptom profile in a prospective, observational community-based case-control study M Antonelli, RS Penfold, LDS Canas, C Sudre, K Rjoob, B Murray, ... Journal of Infection 87 (6), 506-515, 2023 | 4 | 2023 |
| Validation of Federated Unlearning on Collaborative Prostate Segmentation Y Fraboni, L Innocenti, M Antonelli, R Vidal, L Kameni, S Ourselin, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Flow regime identification in aerated stirred vessel using passive acoustic emission and machine learning G Forte, M Antonelli, E Brunazzi, MJ Simmons, H Stitt, F Alberini The Canadian Journal of Chemical Engineering 101 (10), 5670-5682, 2023 | 3 | 2023 |
| Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation L Innocenti, M Antonelli, F Cremonesi, K Sarhan, A Granados, V Goh, ... arXiv preprint arXiv:2309.17097, 2023 | 1 | 2023 |
| Wearables, sensors and the future of technology to detect and infer loneliness in older adults J Rees, F Matcham, F Probst, S Ourselin, Y Shi, M Antonelli, A Tinker, ... Gerontechnology 22 (2), 2023 | 2 | 2023 |
| The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study NJ Cheetham, R Penfold, V Giunchiglia, V Bowyer, CH Sudre, LS Canas, ... EClinicalMedicine 62, 2023 | 23 | 2023 |
| Profiling post-COVID-19 condition across different variants of SARS-CoV-2: a prospective longitudinal study in unvaccinated wild-type, unvaccinated alpha-variant, and … LS Canas, E Molteni, J Deng, CH Sudre, B Murray, E Kerfoot, M Antonelli, ... The Lancet Digital Health 5 (7), e421-e434, 2023 | 22 | 2023 |
| Metabolomic and gut microbiome profiles across the spectrum of community-based COVID and non-COVID disease MF Österdahl, R Whiston, CH Sudre, F Asnicar, NJ Cheetham, ... Scientific reports 13 (1), 10407, 2023 | | 2023 |
| Understanding the psychological experiences of loneliness in later life: qualitative protocol to inform technology development J Rees, W Liu, S Ourselin, Y Shi, F Probst, M Antonelli, A Tinker, ... BMJ open 13 (6), e072420, 2023 | 2 | 2023 |
| O046 Reduction of surgical complications via 3D printed/virtual models available during (robotic-assisted) radical prostatectomy K Sarhan, F MacAskil, N Raison, N Byrne, M Heath, M Antonelli, D Prezzi, ... British Journal of Surgery 110 (Supplement_3), znad101. 046, 2023 | | 2023 |
| The effects of COVID-19 on cognitive performance in a community-based cohort: A COVID Symptom Study Biobank observational study NJ Cheetham, R Penfold, V Giunchiglia, V Bowyer, CH Sudre, LS Canas, ... medRxiv, 2023.03. 14.23287211, 2023 | 3 | 2023 |
| Patient-specific 3D printed/virtual models from automated segmentation using MONAI labels M Antonelli, A Diaz-Pinto, P Mehta, J Cardoso, S Ourselin, A Granados, ... European Urology Open Science 48, S28, 2023 | | 2023 |
| 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 | 1010 | 2023 |
| The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study E Kerfoot, M Antonelli, K Rjoob, E Molteni, MF Österdahl, NR Harvey, ... | | 2023 |
| Social determinants of recovery from ongoing symptoms following COVID-19 in two UK longitudinal studies: a prospective cohort study NJ Cheetham, V Bowyer, MP Garcia, RCE Bowyer, JD Carpentieri, ... medRxiv, 2023.12. 21.23300125, 2023 | | 2023 |
| Symptom experience before vs. after confirmed SARS-CoV-2 infection: a population and case control study using prospectively recorded symptom data. CH Sudre, M Antonelli, NJ Cheetham, E Molteni, LS Canas, V Bowyer, ... medRxiv, 2023.08. 30.23294821, 2023 | | 2023 |
Francesco MarcelloniProfessor of Data Mining and Machine Learning, University of Pisa在 unipi.it 的电子邮件经过验证
