受强制性开放获取政策约束的文章 - Dirk Norbert Baker了解详情
无法在其他位置公开访问的文章：2 篇
Feature tracking by two-step optimization
A Schnorr, DN Helmrich, D Denker, TW Kuhlen, B Hentschel
IEEE Transactions on Visualization and Computer Graphics 26 (6), 2219-2233, 2018
强制性开放获取政策： German Research Foundation
Feature tracking utilizing a maximum-weight independent set problem
A Schnorr, DN Helmrich, H Childs, TW Kuhlen, B Hentschel
2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV), 6-15, 2019
强制性开放获取政策： German Research Foundation
可在其他位置公开访问的文章：4 篇
3D U-Net segmentation improves root system reconstruction from 3D MRI Images in automated and manual virtual reality work flows
T Selzner, J Horn, M Landl, A Pohlmeier, D Helmrich, K Huber, ...
Plant phenomics 5, 0076, 2023
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
A scalable pipeline to create synthetic datasets from functional–structural plant models for deep learning
DN Baker, FM Bauer, M Giraud, A Schnepf, JH Göbbert, H Scharr, ...
in silico Plants 6 (1), diad022, 2023
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
In silico investigation on phosphorus efficiency of zea mays: An experimental whole plant model parametrization approach (2023)
FM Bauer, G Lobet, DN Helmrich, A Galinski, Z Kahlilova, L Zaner, ...
强制性开放获取政策： German Research Foundation
Complexity Estimation for Feature Tracking Data
DN Helmrich, A Schnorr, TW Kuhlen, B Hentschel
2018 IEEE 8th Symposium on Large Data Analysis and Visualization (LDAV), 100-101, 2018
强制性开放获取政策： German Research Foundation
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