| Circle formation by asynchronous fat robots with limited visibility A Dutta, S Gan Chaudhuri, S Datta, K Mukhopadhyaya Distributed Computing and Internet Technology: 8th International Conference …, 2012 | 52 | 2012 |
| Circle formation by asynchronous transparent fat robots S Datta, A Dutta, S Gan Chaudhuri, K Mukhopadhyaya Distributed Computing and Internet Technology: 9th International Conference …, 2013 | 28 | 2013 |
| HPI-DHC at TREC 2018 Precision Medicine Track. M Oleynik, E Faessler, AM Sasso, A Kappattanavar, B Bergner, ... TREC, 2018 | 19 | 2018 |
| A machine learning approach for non-invasive diagnosis of metabolic syndrome S Datta, A Schraplau, HF Da Cruz, JP Sachs, F Mayer, E Böttinger 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering …, 2019 | 11 | 2019 |
| HYPE: Predicting blood pressure from photoplethysmograms in a hypertensive population A Morassi Sasso, S Datta, M Jeitler, N Steckhan, CS Kessler, A Michalsen, ... International Conference on Artificial Intelligence in Medicine, 325-335, 2020 | 9 | 2020 |
| Predicting hypertension onset from longitudinal electronic health records with deep learning S Datta, A Morassi Sasso, N Kiwit, S Bose, G Nadkarni, R Miotto, ... JAMIA open 5 (4), ooac097, 2022 | 5 | 2022 |
| Estimation of vacuolating cytotoxin secreted by different strains of Helicobacter pylori using bead enzyme-linked immunosorbent assay & its correlation with bacterial genotype S Datta, H Kurazono, S Chattopadhyay, A Chowdhury, S Chaudhuri Indian Journal of Medical Research 114, 192, 2001 | 2 | 2001 |
| FIBER: enabling flexible retrieval of electronic health records data for clinical predictive modeling S Datta, JP Sachs, H FreitasDa Cruz, T Martensen, P Bode, ... JAMIA open 4 (3), ooab048, 2021 | 1 | 2021 |
| Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records M Hackl, S Datta, R Miotto, E Bottinger International Conference on Artificial Intelligence in Medicine, 219-228, 2021 | | 2021 |
| Correction to: HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population A Morassi Sasso, S Datta, M Jeitler, N Steckhan, CS Kessler, A Michalsen, ... Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | | 2020 |
| Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions AM Sasso, S Datta, B Pfitzner, L Zhou, N Steckhan, E Boettinger, ... | | 2019 |
| Using Electronic Health Records to Predict the Onset of Hypertension with LSTMs S Datta, AM Sasso, N Kiwit, S Bose, JP Sachs, G Nadkarni, R Miotto, ... | | |
Ariane Morassi SassoResearch Assistant | Digital Health Center @ Hasso Plattner InstituteE-mail confirmado em hpi.de
