| Implementation of an automated workflow for image-based seafloor classification with examples from manganese-nodule covered seabed areas in the Central Pacific Ocean B Mbani, T Schoening, IZ Gazis, R Koch, J Greinert Scientific Reports 12 (1), 15338, 2022 | 7 | 2022 |
| An automated image-based workflow for detecting megabenthic fauna in optical images with examples from the Clarion–Clipperton Zone B Mbani, V Buck, J Greinert Scientific Reports 13 (1), 8350, 2023 | 4 | 2023 |
| Analysis-ready optical underwater images of Manganese-nodule covered seafloor of the Clarion-Clipperton Zone B Mbani, J Greinert Scientific Data 10 (1), 316, 2023 | 2 | 2023 |
| Automated and Integrated Seafloor Classification Workflow (AI-SCW) B Mbani, T Schoening, J Greinert GEOMAR Helmholtz Centre for Ocean Research Kiel, 2023 | 1 | 2023 |
| Megabenthic Fauna Detection with Faster R-CNN (FaunD-Fast) Short description of the research software B Mbani, V Buck, J Greinert GEOMAR Helmholtz Centre for Ocean Research Kiel, 2022 | 1 | 2022 |
| Automated underwater image analysis reveals sediment patterns and megafauna distribution in the tropical Atlantic B Mbani, J Greinert EarthArXiv eprints, X5CQ6B, 2024 | | 2024 |
| Characterisation of sediment patterns and benthic megafauna distribution using automated underwater image analysis B Mbani | | 2024 |
| Megabenthic Fauna Detector with Faster R-CNN (FaunD-Fast) B Mbani Zenodo, 2023 | | 2023 |
| Analysis-ready optical underwater images collected along OFOS profiles during SONNE cruises SO268/1 and SO268/2, Clarion-Clipperton Zone (Pacific Ocean) B Mbani, J Greinert https://doi.pangaea.de/10.1594/PANGAEA.957274, 2023 | | 2023 |