Primary Author Papers

• D. N. Baker, M. Giraud, J. H. Göbbert, H. Scharr, M. Riedel, E. Þ. Hvannberg, and A. Schnepf. "Virtual World Coupling with Photosynthesis Evaluation for Synthetic Data Production." In: in silico Plants (2025), diaf018. DOI: 10.1093/insilicoplants/diaf018
• D. N. Baker, F. Bauer, A. Schnepf, H. Scharr, M. Riedel, J. H. Göbbert, and E. Hvannberg. "Adapting Agricultural Virtual Environments in Game Engines to Improve HPC Accessibility." In: Nordic e-Infrastructure Tomorrow. Ed. by A. Azab and T. Malkiewicz. Cham: Springer Nature Switzerland, 2025, pp. 152– 167. ISBN: 978-3-031-86240-3 DOI: 10.1007/978-3-031-86240-3_11
• D. N. Baker, T. Selzner, J. H. Göbbert, H. Scharr, M. Riedel, E. þ. Hvannberg, A. Schnepf, and D. Zielasko. "VRoot: A VR-Based Application for Manual Root System Architecture Reconstruction." In: Plant Phenomics (2025), p. 100013. ISSN: 2643-6515 DOI: 10.1016/j.plaphe.2025.100013
• D. N. Baker, F. M. Bauer, M. Giraud, A. Schnepf, J. H. Göbbert, H. Scharr, E. Þ. Hvannberg, and M. Riedel. "A scalable pipeline to create synthetic datasets from functional–structural plant models for deep learning." In: in silico Plants 6.1 (Dec. 2023), diad022. ISSN: 2517-5025 DOI: 10.1093/insilicoplants/diad022

Contributions

• T. Selzner, D. N. Baker, M. Landl, D. Leitner, G. Lobet, and A. Schnepf. "Coupling of MRI and modelling." In: NMR in Plants and Soils. Ed. by A. Pohlmeier, S. Haber-Pohlmeier, and S. Stapf. Royal Society of Chemistry, 2025. Chap. 16, in press. DOI: 10.1039/9781837673452
• D. N. Baker, T. Selzner, J. H. Göbbert, H. Scharr, M. Riedel, E. Þ. Hvannberg, A. Schnepf, and D. Zielasko. "Hands-On Plant Root System Reconstruction in Virtual Reality." In: Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology. VRST '24. Trier, Germany: Association for Computing Machinery, 2024. ISBN: 9798400705359 DOI: 10.1145/3641825.3689494
• F. M. Bauer, D. N. Baker, M. Giraud, J. C. Baca Cabrera, J. Vanderborght, G. Lobet, and A. Schnepf. "Root system architecture reorganization under decreasing soil phosphorus lowers root system conductance of Zea mays." In: Annals of Botany (Nov. 2024), mcae198. ISSN: 0305-7364 DOI: 10.1093/aob/mcae198
• T. Selzner, J. Horn, M. Landl, A. Pohlmeier, D. N. Helmrich, K. Huber, J. Vanderborght, H. Vereecken, S. Behnke, and A. Schnepf. "3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI Images in Automated and Manual Virtual Reality Work Flows." In: Plant Phenomics 5 (2023), p. 0076 DOI: 10.34133/plantphenomics.0076
• A. C. Demiralp, D. N. Helmrich, J. Protze, T. W. Kuhlen, and T. Gerrits. "Performance Assessment of Diffusive Load Balancing for Distributed Particle Advection." In: CSRN. Západoˇceská univerzita, 2022 DOI: 10.24132/csrn.3201.2
• D. N. Helmrich, J. H. Göbbert, M. Giraud, H. Scharr, A. Schnepf, and M. Riedel. "Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers." In: IEEE Symposium on Large Data Analysis and Visualization (LDAV). 2021 DOI: 10.48550/arXiv.2110.14946
• A. Schnorr, D. N. Helmrich, D. Denker, T. W. Kuhlen and B. Hentschel, "Feature Tracking by Two-Step Optimization," In: IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 6, pp. 2219-2233, 1 June 2020 DOI: 10.1109/TVCG.2018.2883630
• A. Schnorr, D. N. Helmrich, H. Childs, T. W. Kuhlen and B. Hentschel, "Feature Tracking Utilizing a Maximum-Weight Independent Set Problem," In: IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV), Vancouver, BC, Canada, 2019, pp. 6-15 DOI: 10.1109/LDAV48142.2019.8944363
• D. N. Helmrich, A. Schnorr, T. W. Kuhlen and B. Hentschel, "Complexity Estimation for Feature Tracking Data," In: IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV), Berlin, Germany, 2018, pp. 100-101 DOI: 10.1109/LDAV.2018.8739231