From Medical Images to CFD Meshes. - Juan R. Cebral; Rainald Löhner (IMR, 1999)

Parallel Advancing Front Grid Generation. - Rainald Löhner; Juan R. Cebral (IMR, 1999)

Recent Developments of a Coupled CFD/CSD Methodology. - Joseph D. Baum; Hong Luo; Eric L. Mestreau; Dmitri Sharov; Rainald Löhner; Daniele Pelessone; Charles Charman (International Conference on Computational Science (1), 2001)

Patient-Specific Simulation of Carotid Artery Stenting Using Computational Fluid Dynamics. - Juan R. Cebral; Rainald Löhner; Orlando Soto; Peter L. Choyke; Peter J. Yim (MICCAI, 2001)

Parallel Patient-Specific Computational Haemodynamics. - Juan R. Cebral; Rainald Löhner; Peter L. Choyke; Peter J. Yim (PARA, 2002)

Fluid-Structure Interaction Simulations Using Parallel Computers. - Rainald Löhner; Joseph D. Baum; Charles Charman; Daniele Pelessone (VECPAR, 2002)

Large-scale fluid-structure interaction simulations. - Rainald Löhner; Juan R. Cebral; Chi Yang; Joseph D. Baum; Eric L. Mestreau; Charles Charman; Daniele Pelessone (Comput. Sci. Eng., 2004)

Efficient simulation of blood flow past complex endovascular devices using an adaptive embedding technique. - Juan R. Cebral; Rainald Löhner (IEEE Trans. Medical Imaging, 2005)

A hybrid Cartesian grid and gridless method for compressible flows. - Hong Luo; Joseph D. Baum; Rainald Löhner (J. Comput. Phys., 2006)

A Hermite WENO-based limiter for discontinuous Galerkin method on unstructured grids. - Hong Luo; Joseph D. Baum; Rainald Löhner (J. Comput. Phys., 2007)

Adaptive methodology for meshless finite point method. - F. Perazzo; Rainald Löhner; L. Pérez-Pozo (Adv. Eng. Softw., 2008)

Deflated preconditioned conjugate gradient solvers for the Pressure-Poisson equation. - Romain Aubry; Fernando Mut; Rainald Löhner; Juan R. Cebral (J. Comput. Phys., 2008)

A discontinuous Galerkin method based on a Taylor basis for the compressible flows on arbitrary grids. - Hong Luo; Joseph D. Baum; Rainald Löhner (J. Comput. Phys., 2008)

On 3D Anisotropic Local Remeshing for Surface, Volume and Boundary Layers. - Adrien Loseille; Rainald Löhner (IMR, 2009)

The journal Communications in Numerical Methods in Engineering with Biomedical Applications becomes the International Journal for Numerical Methods in Biomedical Engineering (IJNMBE) from 1st January 2010. - Perumal Nithiarasu; Rainald Löhner (Numer. Linear Algebra Appl., 2009)

A 2nd Generation Parallel Advancing Front Grid Generator. - Rainald Löhner (IMR, 2012)

Robust Boundary Layer Mesh Generation. - Adrien Loseille; Rainald Löhner (IMR, 2012)

Generating seamless surfaces for transport and dispersion modeling in GIS. - Fernando Camelli; Jyh-Ming Lien; Dayong Shen; David W. Wong; Matthew T. Rice; Rainald Löhner; Chaowei Yang (GeoInformatica, 2012)

Linear Sources for Mesh Generation. - Romain Aubry; Kaan Karamete; Eric L. Mestreau; Saikat Dey; Rainald Löhner (SIAM J. Sci. Comput., 2013)

Revisiting Calderon's Problem. - Rainald Löhner; Harbir Antil (CoRR, 2019)

Practical applicability of optimizations and performance models to complex stencil-based loop kernels in CFD. - Karl-Robert Wichmann; Martin Kronbichler 002; Rainald Löhner; Wolfgang A. Wall (Int. J. High Perform. Comput. Appl., 2019)

Detailed Simulation of Viral Propagation In The Built Environment. - Rainald Löhner; Harbir Antil; Sergio Idelsohn; Eugenio Oñate (CoRR, 2020)

A novel framework for automated monitoring and analysis of high density pedestrian flow. - Muhammad Baqui; Manar D. Samad; Rainald Löhner (J. Intell. Transp. Syst., 2020)

PedPIV: Pedestrian Velocity Extraction From Particle Image Velocimetry. - Muhammad Baqui; Rainald Löhner (IEEE Trans. Intell. Transp. Syst., 2020)

Novel DNNs for Stiff ODEs with Applications to Chemically Reacting Flows. - Thomas S. Brown; Harbir Antil; Rainald Löhner; Fumiya Togashi; Deepanshu Verma (ISC Workshops, 2021)

Data Assimilation with Deep Neural Nets Informed by Nudging. - Harbir Antil; Rainald Löhner; Randy Price (CoRR, 2021)

A runtime based comparison of highly tuned lattice Boltzmann and finite difference solvers. - Karl-Robert Wichmann; Martin Kronbichler 002; Rainald Löhner; Wolfgang A. Wall (Int. J. High Perform. Comput. Appl., 2021)

Fractional deep neural network via constrained optimization. - Harbir Antil; Ratna Khatri; Rainald Löhner; Deepanshu Verma (Mach. Learn. Sci. Technol., 2021)

A Deterministic Pathogen Transmission Model Based on High-Fidelity Physics. - Rainald Löhner; Harbir Antil; Juan Marcelo Giménez; Sergio Idelsohn; Eugenio Oñate (CoRR, 2022)

NINNs: Nudging Induced Neural Networks. - Harbir Antil; Rainald Löhner; Randy Price (CoRR, 2022)

Neural Network Representation of Time Integrators. - Rainald Löhner; Harbir Antil (CoRR, 2022)

A vertex-centered finite volume method with interface sharpening technique for compressible two-phase flows. - Lingquan Li; Rainald Löhner; Aditya K. Pandare; Hong Luo (J. Comput. Phys., 2022)

Adjoint-based Determination of Weaknesses in Structures. - Facundo N. Airaudo; Rainald Löhner; Roland Wüchner; Harbir Antil (CoRR, 2023)

High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures. - Rainald Löhner; Facundo N. Airaudo; Harbir Antil; Roland Wüchner; Fabian Meister; Suneth Warnakulasuriya (CoRR, 2023)

On The Use of Risk Measures in Digital Twins to Identify Weaknesses in Structures. - Facundo N. Airaudo; Harbir Antil; Rainald Löhner; Umarkhon Rakhimov (CoRR, 2023)

Adjoint-based estimation of sensitivity of clinical measures to boundary conditions for arteries. - Rainald Löhner; Harbir Antil; Fernando Mut; Juan R. Cebral (J. Comput. Phys., 2024)

On Techniques for Barely Coupled Multiphysics. - Rainald Löhner; Harbir Antil; Sebastian Schöps (CoRR, 2025)