Patient-specific lattice-Boltzmann simulations with inflow conditions from magnetic resonance velocimetry measurements for analyzing cerebral aneurysms - Mario Rüttgers; Moritz Waldmann; Shota Ito; Carolin Wüstenhagen; Sven Grundmann; Martin Brede; Andreas Lintermann (Comput. Biol. Medicine, 2025)

Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning - Mario Rüttgers; Moritz Waldmann; Klaus Vogt; Justus Ilgner; Wolfgang Schröder; Andreas Lintermann (Comput. Biol. Medicine, 2024)

Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields - Aito Higashida; Kazuto Ando; Mario Rüttgers; Andreas Lintermann; Makoto Tsubokura (Future Gener. Comput. Syst., 2024)

Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations - Xin Liu; Mario Rüttgers; Alessio Quercia; Romain Egele; Elisabeth Pfaehler; Rushikesh Shende; Marcel Aach; Wolfgang Schröder; Prasanna Balaprakash; Andreas Lintermann (Future Gener. Comput. Syst., 2024)

On the choice of physical constraints in artificial neural networks for predicting flow fields - Rishabh Puri; Junya Onishi; Mario Rüttgers; Rakesh Sarma; Makoto Tsubokura; Andreas Lintermann (Future Gener. Comput. Syst., 2024)

How Regional Wind Characteristics Affect CNN-based wind predictions: Insights from Spatiotemporal Correlation Analysis - Heesoo Shin; Mario Rüttgers; Sangseung Lee (CoRR, 2023)

Prediction of Typhoon Track and Intensity Using a Generative Adversarial Network With Observational and Meteorological Data - Mario Rüttgers; Soohwan Jeon; Sangseung Lee; Donghyun You (IEEE Access, 2022)

A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows - Mario Rüttgers; Moritz Waldmann; Wolfgang Schröder; Andreas Lintermann (Appl. Intell., 2022)

Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study - Hussein Aljawad; Mario Rüttgers; Andreas Lintermann; Wolfgang Schröder; Kyungmin Clara Lee (J. Digit. Imaging, 2021)

Machine-Learning-Based Control of Perturbed and Heated Channel Flows - Mario Rüttgers; Moritz Waldmann; Wolfgang Schröder; Andreas Lintermann (High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24 - July 2, 2021, Revised Selected Papers, 2021)

Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning - Mario Rüttgers; Seong-Ryong Koh; Jenia Jitsev; Wolfgang Schröder; Andreas Lintermann (High Performance Computing - ISC High Performance 2020 International Workshops, Frankfurt, Germany, June 21-25, 2020, Revised Selected Papers, 2020)

Typhoon track prediction using satellite images in a Generative Adversarial Network - Mario Rüttgers; Sangseung Lee; Donghyun You (CoRR, 2018)