Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation. - 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 (CoRR, 2021)

Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation. - Bernhard Wernly; Behrooz Mamandipoor; Philipp Baldia; Christian Jung 002; Venet Osmani (Int. J. Medical Informatics, 2021)

Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation. - 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; et al. (BMC Medical Informatics Decis. Mak., 2021)

Vascular 3D Printing with a Novel Biological Tissue Mimicking Resin for Patient-Specific Procedure Simulations in Interventional Radiology: a Feasibility Study. - 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 (J. Digit. Imaging, 2022)

Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation. - 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 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)