Michele Tonutti
Michele Tonutti
Senior Data Scientist at Pacmed B.V.
Verified email at - Homepage
Cited by
Cited by
The role of technology in minimally invasive surgery: state of the art, recent developments and future directions
M Tonutti, DS Elson, GZ Yang, AW Darzi, MH Sodergren
Postgraduate medical journal 93 (1097), 159-167, 2017
A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery
M Tonutti, G Gras, GZ Yang
Artificial intelligence in medicine 80, 39-47, 2017
Robust and subject-independent driving manoeuvre anticipation through Domain-Adversarial Recurrent Neural Networks
M Tonutti, E Ruffaldi, A Cattaneo, CA Avizzano
Robotics and Autonomous Systems 115, 162-173, 2019
The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
LM Fleuren, TA Dam, M Tonutti, DP de Bruin, RCA Lalisang, D Gommers, ...
Critical Care 25, 1-12, 2021
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse
LM Fleuren, DP de Bruin, M Tonutti, RCA Lalisang, PWG Elbers
Intensive care medicine 47 (4), 478-481, 2021
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications
D Ruhe, G Ciną, M Tonutti, D de Bruin, P Elbers
AI for Social Good Workshop @ ICML 2019, 2019
Explainable machine learning on AmsterdamUMCdb for ICU discharge decision support: uniting intensivists and data scientists
PJ Thoral, M Fornasa, DP de Bruin, M Tonutti, H Hovenkamp, ...
Critical care explorations 3 (9), 2021
Predictors for extubation failure in COVID-19 patients using a machine learning approach
LM Fleuren, TA Dam, M Tonutti, DP de Bruin, RCA Lalisang, D Gommers, ...
Critical Care 25 (1), 1-10, 2021
Uncertainty estimation for classification and risk prediction in medical settings
L Meijerink, G Ciną, M Tonutti
arXiv preprint arXiv:2004.05824, 2020
Some patients are more equal than others: variation in ventilator settings for coronavirus disease 2019 acute respiratory distress syndrome
TA Dam, HJ de Grooth, T Klausch, LM Fleuren, DP de Bruin, R Entjes, ...
Critical care explorations 3 (10), 2021
Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data …
LM Fleuren, M Tonutti, DP de Bruin, RCA Lalisang, TA Dam, D Gommers, ...
Intensive care medicine experimental 9 (1), 1-15, 2021
The Companion Crutch: Design and Development of a Wireless Instrumented Crutch
M Tonutti
Imperial College London, 2015
Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study
JM Smit, JH Krijthe, H Endeman, AN Tintu, YB de Rijke, D Gommers, ...
Intelligence-based medicine 6, 100071, 2022
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients
A Izdebski, PJ Thoral, RCA Lalisang, DM McHugh, D Gommers, ...
arXiv preprint arXiv:2109.06707, 2021
Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of …
I Vagliano, MC Schut, A Abu-Hanna, DA Dongelmans, DW de Lange, ...
International Journal of Medical Informatics 167, 104863, 2022
A data-driven method for real-time modelling of brain tumour deformation
M Tonutti
Imperial College London, 2016
on behalf of Dutch ICU Data Sharing Against COVID-19 Collaborators
L Fleuren, M Tonutti, D de Bruin, R Lalisang, T Dam, D Gommers, ...
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