Michele Tonutti - researchr alias

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Viewing Publication 1 - 3 from 3

2022

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 registry data with high-granular electronic health recordsIacopo Vagliano, Martijn C. Schut, Ameen Abu-Hanna, Dave A. Dongelmans, Dylan W. De Lange, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans, Cornelis P. C. de Jager, Stefaan H. A. Hendriks, Sefanja Achterberg, Evelien Oostdijk, Auke C. Reidinga, Barbara Festen-Spanjer, Gert B. Brunnekreef, Alexander D. Cornet, Walter van den Tempel, Age D. Boelens, Peter Koetsier, Judith Lens, Harald J. Faber, Attila Karakus, Robert Entjes, Paul de Jong, Thijs C. D. Rettig, Merijn C. Reuland, M. Sesmu Arbous, Lucas M. Fleuren, Tariq A. Dam, Patrick J. Thoral, Robbert C. A. Lalisang, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers, Nicolette F. de Keizer. ijmi, 167:104863, 2022. [doi]

2019

Robust and subject-independent driving manoeuvre anticipation through Domain-Adversarial Recurrent Neural NetworksMichele Tonutti, Emanuele Ruffaldi, Alessandro Cattaneo, Carlo Alberto Avizzano. ras, 115:162-173, 2019. [doi]

2017

A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgeryMichele Tonutti, Gauthier Gras, Guang-Zhong Yang. artmed, 80:39-47, 2017. [doi]

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