Synergies between Statistical Data Analysis and Neural Networks in the Control of Rotary Blood Pumps. - Georg Dorffner; Christian Stöcklmayer; Christian Schmidt 009; Heinrich Schima (Cybern. Syst., 1997)

Control of implantable axial blood pumps based on physiological demand. - Michael Vollkron; Heinrich Schima; Leopold Huber; Bob Benkowski; Gino Morello; Georg Wieselthaler (ACC, 2006)

Continuous Monitoring of Aortic Valve Opening in Rotary Blood Pump Patients. - Marcus Granegger; Marco Masetti; Ravi Laohasurayodhin; Thomas Schloeglhofer; Daniel Zimpfer; Heinrich Schima; Francesco Moscato 002 (IEEE Trans. Biomed. Eng., 2016)

Development of suction detection algorithms for a left ventricular assist device from patient data. - Martin Maw; Christoph Gross; Thomas Schloeglhofer; Kamen Dimitrov; Daniel Zimpfer; Francesco Moscato 002; Heinrich Schima (Biomed. Signal Process. Control., 2021)

On the incorporation of obstacles in a fluid flow problem using a Navier-Stokes-Brinkman penalization approach. - Jana Fuchsberger; Philipp Aigner; Steven A. Niederer; Gernot Plank; Heinrich Schima; Gundolf Haase; Elias Karabelas (J. Comput. Sci., 2022)

Human Factors Evaluation of HeartMate 3 Left Ventricular Assist Device Peripherals: An Eye Tracking Supported Simulation Study. - Gregor Widhalm; Theodor Abart; Moritz Noeske; Lisa Kumer; Katharina Ebenberger; Clemens Atteneder; Angelika Berger; Günther Laufer; Dominik Wiedemann; Daniel Zimpfer; Heinrich Schima; Michael Wagner 024; et al. (J. Medical Syst., 2023)