| Semi-automated root image analysis (saRIA) N Narisetti, M Henke, C Seiler, R Shi, A Junker, T Altmann, E Gladilin Scientific Reports 9 (1), 19674, 2019 | 43 | 2019 |
| Fully-automated root image analysis (faRIA) N Narisetti, M Henke, C Seiler, A Junker, J Ostermann, T Altmann, ... Scientific Reports 11 (1), 16047, 2021 | 19 | 2021 |
| Automated spike detection in diverse european wheat plants using textural features and the frangi filter in 2d greenhouse images N Narisetti, K Neumann, MS Röder, E Gladilin Frontiers in plant science 11, 507430, 2020 | 16 | 2020 |
| Deep learning based greenhouse image segmentation and shoot phenotyping (deepshoot) N Narisetti, M Henke, K Neumann, F Stolzenburg, T Altmann, E Gladilin Frontiers in Plant Science 13, 906410, 2022 | 6 | 2022 |
| Towards automated analysis of grain spikes in greenhouse images using neural network approaches: A comparative investigation of six methods S Ullah, M Henke, N Narisetti, K Panzarová, M Trtílek, J Hejatko, ... Sensors 21 (22), 7441, 2021 | 4 | 2021 |
| FDM data driven U-Net as a 2D Laplace PINN solver AN Maria Antony, N Narisetti, E Gladilin Scientific Reports 13 (1), 9116, 2023 | 2 | 2023 |
| Awn image analysis and phenotyping using BarbNet N Narisetti, M Awais, M Khan, F Stolzenburg, N Stein, E Gladilin Plant Phenomics 5, 0081, 2023 | 1 | 2023 |
| Linel2D-Net: A deep learning approach to solving 2D linear elastic boundary value problems on image domains ANM Antony, N Narisetti, E Gladilin Iscience 27 (4), 2024 | | 2024 |
