Sascha Ranftl

According to our database, Sascha Ranftl authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Geometric Uncertainty of Patient-Specific Blood Vessels and its Impact on Aortic Hemodynamics.

Domagoj Bosnjak, Richard Schussnig, Sascha Ranftl, Gerhard A. Holzapfel, Thomas-Peter Fries

CoRR, 2024

2023

Robust Bayesian target value optimization.

Johannes G. Hoffer, Sascha Ranftl, Bernhard C. Geiger

Comput. Ind. Eng., June, 2023

2022

A connection between probability, physics and neural networks.

Sascha Ranftl

CoRR, 2022

Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate.

Sascha Ranftl, Malte Rolf-Pissarczyk, Gloria Wolkerstorfer, Antonio Pepe, Jan Egger, Wolfgang von der Linden, Gerhard A. Holzapfel

CoRR, 2022

2021

Cross-Entropy Learning for Aortic Pathology Classification of Artificial Multi-Sensor Impedance Cardiography Signals.

Tobias Spindelböck, Sascha Ranftl, Wolfgang von der Linden

Entropy, 2021

Bayesian source separation of electrical bioimpedance signals.

Christof Pichler, Sascha Ranftl, Arnulf Heller, Enrico Arrigoni, Wolfgang von der Linden

Biomed. Signal Process. Control., 2021

2020

Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection.

Sascha Ranftl, Gian Marco Melito, Vahid Badeli, Alice Reinbacher-Köstinger, Katrin Ellermann, Wolfgang von der Linden

Entropy, 2020

2019

Bayesian Analysis of Femtosecond Pump-Probe Photoelectron-Photoion Coincidence Spectra with Fluctuating Laser Intensities.

Pascal Heim, Michael Rumetshofer, Sascha Ranftl, Bernhard Thaler, Wolfgang E. Ernst, Markus Koch, Wolfgang von der Linden

Entropy, 2019