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2020 – today
- 2023
[j4]André M. Carrington
, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Olivia Magwood, Yusuf Sheikh, Matthew McInnes, Andreas Holzinger:
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 329-341 (2023)- 2022
- [j3]Reinhard Kaufmann, C. J. Zech, M. Takes, Philipp Brantner, Florian M. Thieringer, M. Deutschmann, Klaus Hergan, Bernhard Scharinger, Stefan Hecht, R. Rezar, Bernhard Wernly, M. Meissnitzer:
Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study. J. Digit. Imaging 35(1): 9-20 (2022) - 2021
- [j2]Bernhard Wernly, Behrooz Mamandipoor, Philipp Baldia, Christian Jung, Venet Osmani:
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation. Int. J. Medical Informatics 145: 104312 (2021) - [j1]Behrooz Mamandipoor, Fernando Frutos-Vivar, Oscar Peñuelas, Richard Rezar, Konstantinos Raymondos, Alfonso Muriel, Bin Du, Arnaud W. Thille, Fernando Rios, Marco González, Lorenzo del-Sorbo, María Del Carmen Marín, Bruno Valle Pinheiro, Marco Antonio Soares, Nicolas Nin, Salvatore M. Maggiore, Andrew Bersten, Malte Kelm, Raphael Romano Bruno, Pravin Amin, Nahit Cakar, Gee Young Suh, Fekri Abroug, Manuel Jibaja, Dimitros Matamis, Amine Ali Zeggwagh, Yuda Sutherasan, Antonio Anzueto, Bernhard Wernly, Andrés Esteban, Christian Jung, Venet Osmani:
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation. BMC Medical Informatics Decis. Mak. 21(1): 152 (2021) - [i1]André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Matthew McInnes, Olivia Magwood, Yusuf Sheikh, Andreas Holzinger:
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation. CoRR abs/2103.11357 (2021)
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