Research output per year
Research output per year
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Dive into the research topics where Philipp Grüning is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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FP-nets as novel deep networks inspired by vision
Grüning, P., Martinetz, T. & Barth, E., 04.01.2022, In: Journal of Vision. 22, 1, p. 8 20 p.Research output: Journal Articles › Journal articles › Research › peer-review
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Bio-inspired Min-Nets Improve the Performance and Robustness of Deep Networks
Grüning, P. & Barth, E., 2021, SVRHM 2021 Workshop NeurIPS.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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Deep Learning to Decipher the Progression and Morphology of Axonal Degeneration
Palumbo, A., Grüning, P., Landt, S. K., Heckmann, L. E., Bartram, L., Pabst, A., Flory, C., Ikhsan, M., Pietsch, S., Schulz, R., Kren, C., Koop, N., Boltze, J., Madany Mamlouk, A. & Zille, M., 25.09.2021, In: Cells. 10, 10Research output: Journal Articles › Journal articles › Research › peer-review
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Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning
Grüning, P., Nette, F., Heldt, N., de Souza, A. C. G. & Barth, E., 2021, Medical Imaging with Deep Learning. p. 219-227 9 p.Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review
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FP-Nets for Blind Image Quality Assessment
Grüning, P. & Barth, E., 2021, HVEI. p. 10402-1 - 10402-13Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review