| 2024 | GI | AI-supported selection procedure for spectral sensors based on technical and economic characteristics. | Patrick Menz, Lauritz Klein, Andreas Herzog |
| 2024 | GI | PhenoTruckAI: On-Site Hyperspectral Measurement for Distinction of Quarantine Grapevine Disease "flavescence dore" and non-Quarantine Disease "bois noir" in a Mobile Laboratory. | Bonito Steffen Thielert, Patrick Menz, Gesa Marie Gtte, Miriam Runne, Markus Michel, Sylvia Wagner, Wolfgang Jarausch, Sebastian Warnemnde |
| 2023 | GI | Drohnenbasiertes Verfahren zur Detektion geschdigter Obstbume in Obstbaumplantagen. | Bonito Steffen Thielert, Patrick Menz, Sebastian Warnemnde, Katharina Holstein, Lauritz Klein, David Kilias, Miriam Runne, Wolfgang Jarausch, Uwe Knauer |
| 2022 | ESANN | Federated learning vector quantization for dealing with drift between nodes. | Johannes Brinkrolf, Valerie Vaquet, Fabian Hinder, Patrick Menz, Udo Seiffert, Barbara Hammer |
| 2022 | ESANN | From hyperspectral to multispectral sensing - from simulation to reality: A comprehensive approach for calibration model transfer. | Patrick Menz, Valerie Vaquet, Barbara Hammer, Udo Seiffert |
| 2021 | ESANN | Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data. | Valerie Vaquet, Patrick Menz, Udo Seiffert, Barbara Hammer |
| 2019 | ESANN | Transfer Learning for transferring machine-learning based models among hyperspectral sensors. | Patrick Menz, Andreas Backhaus, Udo Seiffert |