| A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019 | 370 | 2019 |
| Deep learning to decipher the progression and morphology of axonal degeneration A Palumbo, P Grüning, SK Landt, LE Heckmann, L Bartram, A Pabst, ... Cells 10 (10), 2539, 2021 | 9 | 2021 |
| Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks P Gruening, E Barth SVRHM 2021 Workshop@ NeurIPS, 2021 | 7 | 2021 |
| FP-nets as novel deep networks inspired by vision P Grüning, T Martinetz, E Barth Journal of Vision 22 (1), 8-8, 2022 | 4 | 2022 |
| Feature Products Yield Efficient Networks P Grüning, T Martinetz, E Barth arXiv preprint arXiv:2008.07930, 2020 | 4 | 2020 |
| Log-nets: Logarithmic feature-product layers yield more compact networks P Grüning, T Martinetz, E Barth Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 4 | 2020 |
| FP-Nets for Blind Image Quality Assessment P Grüning, E Barth Journal of Perceptual Imaging, 2020 | 3 | 2020 |
| A task-dependent active learning method for axon segmentation with CNNs P Grüning, A Palumbo, M Zille, E Barth, AM Mamlouk Proceedings on Automation in Medical Engineering 1 (1), 025-025, 2020 | 3 | 2020 |
| Segmentation of fluorescently labelled axons in a model of brain hemorrhage-induced axonal degeneration using convolutional neural networks NK Menon, A Palumbo, P Grüning, SK Landt, L Heckmann, L Bartram, ... Student Conference proceedings 2020: 9th Conference on Medical Engineering …, 2020 | 2 | 2020 |
| Robust and Markerfree in vitro Axon Segmentation with CNNs P Grüning, A Palumbo, SK Landt, L Heckmann, L Brackhagen, M Zille, ... International Conference on Wireless Mobile Communication and Healthcare …, 2020 | 1 | 2020 |
| EntireAxon: Deep learning deciphers four distinct patterns of axonal degeneration A Palumbo, P Grüning, SK Landt, LE Heckmann, L Bartram, A Pabst, ... bioRxiv, 1-38, 2020 | 1 | 2020 |
| Automated computation of therapies using failure mode and effects analysis in the medical domain M Luttermann, E Baake, J Bouchagiar, B Gebel, P Gruning, ... Universität zu Lübeck. URL: https://www. ifis. uni-luebeck. de/uploads …, 0 | 1* | |
| Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review J Cummerow, C Wienecke, N Engler, P Marahrens, P Gruening, ... Journal of Medical Internet Research 25, e46929, 2023 | | 2023 |
| Efficient Coding in Human Vision as a Useful Bias in Computer Vision and Machine Learning P Grüning, E Barth Journal of Perceptual Imaging 6, 1-10, 2023 | | 2023 |
| Connections Between Pairs of Filters Improve the Accuracy of Convolutional Neural Networks K Anderson, P Grüning, E Barth 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | | 2023 |
| Automated assessment of immunofixations with deep neural networks C Thiemann, B Klitzke, P Martinetz, P Grüning, T Käster, E Barth, J Kramer, ... Journal of Laboratory Medicine 46 (5), 331-336, 2022 | | 2022 |
| Deep learning to decipher the progression and morphology of hemin-induced axonal degeneration A Palumbo, P Gruening, S Landt, L Heckmann, L Bartram, A Pabst, ... JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 42 (1_ SUPPL), 111-112, 2022 | | 2022 |
| Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning P Grüning, F Nette, N Heldt, ACG de Souza, E Barth Medical Imaging with Deep Learning, 219-227, 2021 | | 2021 |
| Robust and Markerfree Axon Segmentation with CNNs P Grüning, A Palumbo, SK Landt, L Heckmann, L Brackhagen, M Zille, ... Wireless Mobile Communication and Healthcare. 9th EAI International …, 2021 | | 2021 |
| Method and device for culturing and examining neurons M Zille, A Palumbo, P Grüning | | 2021 |
