| Unraveling the local relation between tissue composition and human brain mechanics through machine learning K Linka, N Reiter, J Würges, M Schicht, L Bräuer, CJ Cyron, F Paulsen, ... Frontiers in bioengineering and biotechnology 9, 704738, 2021 | 30 | 2021 |
| Insights into the Microstructural Origin of Brain Viscoelasticity: Prospects for Microstructure-Informed Constitutive Modeling N Reiter, B Roy, F Paulsen, S Budday Journal of Elasticity, 1-18, 2021 | 25 | 2021 |
| Tissue‐Scale Biomechanical Testing of Brain Tissue for the Calibration of Nonlinear Material Models J Faber, J Hinrichsen, A Greiner, N Reiter, S Budday Current Protocols 2 (4), e381, 2022 | 19 | 2022 |
| Poro-viscoelastic effects during biomechanical testing of human brain tissue A Greiner, N Reiter, F Paulsen, GA Holzapfel, P Steinmann, E Comellas, ... Frontiers in Mechanical Engineering 7, 708350, 2021 | 16 | 2021 |
| Inverse identification of region-specific hyperelastic material parameters for human brain tissue J Hinrichsen, N Reiter, L Bräuer, F Paulsen, S Kaessmair, S Budday Biomechanics and Modeling in Mechanobiology 22 (5), 1729-1749, 2023 | 14 | 2023 |
| Oxidized Hyaluronic Acid-Gelatin-Based Hydrogels for Tissue Engineering and Soft Tissue Mimicking S Kuth, E Karakaya, N Reiter, L Schmidt, F Paulsen, J Teßmar, S Budday, ... Tissue Engineering Part C: Methods 28 (7), 301-313, 2022 | 13 | 2022 |
| On the importance of using region-dependent material parameters for full-scale human brain simulations E Griffiths, J Hinrichsen, N Reiter, S Budday European Journal of Mechanics-A/Solids 99, 104910, 2023 | 8 | 2023 |
| Mechanisms of mechanical load transfer through brain tissue N Reiter, F Paulsen, S Budday Scientific Reports 13 (1), 8703, 2023 | 7 | 2023 |
| Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID M Flaschel, H Yu, N Reiter, J Hinrichsen, S Budday, P Steinmann, ... arXiv preprint arXiv:2305.16362, 2023 | 7 | 2023 |
| Identifying composition-mechanics relations in human brain tissue based on neural-network-enhanced inverse parameter identification J Hinrichsen, L Feiler, N Reiter, L Bräuer, M Schicht, F Paulsen, S Budday Mathematics and Mechanics of Solids, 10812865231206544, 2023 | 2 | 2023 |
| Using dropout based active learning and surrogate models in the inverse viscoelastic parameter identification of human brain tissue J Hinrichsen, C Ferlay, N Reiter, S Budday Frontiers in Physiology 15, 2024 | | 2024 |
| Modeling the finite viscoelasticity of human brain tissue based on microstructural information N Reiter, AM Schäfer, S Auer, F Paulsen, S Budday PAMM 23 (4), e202300234, 2023 | | 2023 |
| Correction: Tissue-Scale Biomechanical Testing of Brain Tissue for the Calibration of Nonlinear Material Models J Faber, J Hinrichsen, A Greiner, N Reiter, S Budday Current Protocols 2 (4), e438-e438, 2022 | | 2022 |
