| Combining high-throughput imaging flow cytometry and deep learning for efficient species and life-cycle stage identification of phytoplankton S Dunker, D Boho, J Wäldchen, P Mäder BMC ecology 18, 1-15, 2018 | 69 | 2018 |
| The flora incognita app–interactive plant species identification P Mäder, D Boho, M Rzanny, M Seeland, HC Wittich, A Deggelmann, ... Methods in Ecology and Evolution 12 (7), 1335-1342, 2021 | 67 | 2021 |
| Pollen analysis using multispectral imaging flow cytometry and deep learning S Dunker, E Motivans, D Rakosy, D Boho, P Maeder, T Hornick, ... New Phytologist 229 (1), 593-606, 2021 | 60 | 2021 |
| Image-based classification of plant genus and family for trained and untrained plant species M Seeland, M Rzanny, D Boho, J Wäldchen, P Mäder BMC bioinformatics 20, 1-13, 2019 | 53 | 2019 |
| Flora Capture: a citizen science application for collecting structured plant observations D Boho, M Rzanny, J Wäldchen, F Nitsche, A Deggelmann, HC Wittich, ... BMC bioinformatics 21, 1-11, 2020 | 23 | 2020 |
| On the use of a cascaded convolutional neural network for three-dimensional flow measurements using astigmatic PTV J König, M Chen, W Rösing, D Boho, P Mäder, C Cierpka Measurement Science and Technology 31 (7), 074015, 2020 | 22 | 2020 |
| Image-based automated recognition of 31 poaceae species: The most relevant perspectives M Rzanny, HC Wittich, P Mäder, A Deggelmann, D Boho, J Wäldchen Frontiers in Plant Science 12, 804140, 2022 | 12 | 2022 |
| Description of flower colors for image based plant species classification M Seeland, M Rzanny, N Alaqraa, A Thuille, D Boho, J Wäldchen, ... | 10 | 2016 |
| Flora Incognita–Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone J Wäldchen, A Thuille, M Seeland, M Rzanny, ED Schulze, D Boho, ... Landschaftspflege und Naturschutz in Thüringen 53 (3), 121-125, 2016 | 10 | 2016 |
| On the use of machine learning algorithms for the calibration of astigmatism PTV C Cierpka, J König, M Chen, D Boho, P Mäder, CJ Kähler, R Hain, ... Proc. 13th Int. Symp. on Particle Image Velocimetry, 2019 | 5 | 2019 |
| Bridging the gap: how to adopt opportunistic plant observations for phenology monitoring N Katal, M Rzanny, P Mäder, C Römermann, HC Wittich, D Boho, ... Frontiers in Plant Science 14, 1150956, 2023 | 1 | 2023 |
| Leveraging Citizen Science and Machine Learning for Plant Phenology Monitoring N Katal, M Rzanny, P Mäder, HC Wittich, D Boho, J Wäldchen EGU24, 2024 | | 2024 |
| Opportunistic plant observations reveal spatial and temporal gradients in phenology M Rzanny, P Mäder, HC Wittich, D Boho, J Wäldchen npj Biodiversity 3 (1), 5, 2024 | | 2024 |
| Flora Capture-An Adaptive Digital Herbarium Using Mobile Devices D Boho, M Rzanny, J Wäldchen, P Mäder Friedrich-Schiller-Universität Jena, 2018 | | 2018 |
| Integrating context-based recommendation with deep NN image classification for plant identification tasks H Wittich, D Boho, P Mäder ICEI 2018: 10th International Conference on Ecological Informatics …, 2018 | | 2018 |
| Image-Based Classification of Plant Genus and Family for Learned and Unlearned Plant Species M Seeland, M Rzanny, D Boho, J Wäldchen, P Mäder | | |
| Flora Capture D Boho, M Rzanny, J Wäldchen, P Mäder | | |
