Fluid mechanics based classification of the respiratory efficiency of several nasal cavities. - Andreas Lintermann; Matthias Meinke; Wolfgang Schröder 001 (Comput. Biol. Medicine, 2013)

The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems. - Michael Schlottke-Lakemper; Hans Yu; Sven Berger; Andreas Lintermann; Matthias Meinke; Wolfgang Schröder 001 (JHPCS, 2016)

Enabling Interactive Supercomputing at JSC Lessons Learned. - Jens Henrik Göbbert; Tim Kreuzer; Alice Grosch; Andreas Lintermann; Morris Riedel (ISC Workshops, 2018)

Performance of ODROID-MC1 for scientific flow problems. - Andreas Lintermann; Dirk Pleiter; Wolfgang Schröder 001 (Future Gener. Comput. Syst., 2019)

Prediction of Acoustic Fields Using a Lattice-Boltzmann Method and Deep Learning. - Mario Rüttgers; Seong-Ryong Koh; Jenia Jitsev; Wolfgang Schröder 001; Andreas Lintermann (ISC Workshops, 2020)

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures. - Morris Riedel; Rocco Sedona; Chadi Barakat; Pétur Helgi Einarsson; Reza Hassanian; Gabriele Cavallaro; Matthias Book; Helmut Neukirchen; Andreas Lintermann (IPDPS Workshops, 2021)

Machine-Learning-Based Control of Perturbed and Heated Channel Flows. - Mario Rüttgers; Moritz Waldmann; Wolfgang Schröder 001; Andreas Lintermann (ISC Workshops, 2021)

Effects of the Nasal Cavity Complexity on the Pharyngeal Airway Fluid Mechanics: A Computational Study. - Hussein Aljawad; Mario Rüttgers; Andreas Lintermann; Wolfgang Schröder 001; Kyungmin Clara Lee (J. Digit. Imaging, 2021)

Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification. - Marcel Aach; Rocco Sedona; Andreas Lintermann; Gabriele Cavallaro; Helmut Neukirchen; Morris Riedel (IGARSS, 2022)

Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications. - Morris Riedel; Matthias Book; Helmut Neukirchen; Gabriele Cavallaro; Andreas Lintermann (MIPRO, 2022)

A machine-learning-based method for automatizing lattice-Boltzmann simulations of respiratory flows. - Mario Rüttgers; Moritz Waldmann; Wolfgang Schröder 001; Andreas Lintermann (Appl. Intell., 2022)

An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology. - Moritz Waldmann; Alice Grosch; Christian Witzler; Matthias Lehner; Odo Benda; Walter Koch; Klaus Vogt; Christopher Kohn; Wolfgang Schröder 001; Jens Henrik Göbbert; Andreas Lintermann (Medical Biol. Eng. Comput., 2022)

Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods. - Marcel Aach; Eray Inanc; Rakesh Sarma; Morris Riedel; Andreas Lintermann (AutoML, 2023)

Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC. - Morris Riedel; Chadi Barakat; Sebastian Johannes Fritsch; Marcel Aach; J. Busch; Andreas Lintermann; Andreas Schuppert; Sigurður Brynjólfsson; Helmut Neukirchen; Matthias Book (MIPRO, 2023)

Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision. - Marcel Aach; Rakesh Sarma; Eray Inanc; Morris Riedel; Andreas Lintermann (SC Workshops, 2023)

Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks. - Marcel Aach; Eray Inanc; Rakesh Sarma; Morris Riedel; Andreas Lintermann (J. Big Data, 2023)

Parallel Reinforcement Learning and Gaussian Process Regression for Improved Physics-Based Nasal Surgery Planning. - Mario Rüttgers; Fabian Hübenthal; Makoto Tsubokura; Andreas Lintermann (PPAM (3), 2024)

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 001; 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 001; 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)

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization. - Eric Wulff; Juan Pablo García Amboage; Marcel Aach; Thorsteinn Eli Gislason; Thorsteinn Kristinn Ingolfsson; Tomas Kristinn Ingolfsson; Edoardo Pasetto; Amer Delilbasic; Morris Riedel; Rakesh Sarma; Maria Girone; Andreas Lintermann (Quantum Mach. Intell., 2024)

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)

Optimizing edge AI models on HPC systems with the edge in the loop. - Marcel Aach; Cyril Blanc; Andreas Lintermann; Kurt De Grave (CoRR, 2025)

Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems. - Marcel Aach; Rakesh Sarma; Helmut Neukirchen; Morris Riedel; Andreas Lintermann (Future Gener. Comput. Syst., 2026)

Towards a widespread usage of computational fluid dynamics simulations for automated virtual nasal surgery planning. - Mario Rüttgers; Moritz Waldmann; Fabian Hübenthal; Klaus Vogt; Makoto Tsubokura; Sangseung Lee; Andreas Lintermann (Future Gener. Comput. Syst., 2026)