Optimalwavelengths for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data. - Till Rumpf; Christoph Römer; Lutz Plümer; Anne-Katrin Mahlein (IGARSS, 2010)

Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping. - Stefan Paulus; Jan Dupuis; Anne-Katrin Mahlein; Heiner Kuhlmann (BMC Bioinform., 2013)

Generation and Application of Hyperspectral 3D Plant Models. - Jan Behmann; Anne-Katrin Mahlein; Stefan Paulus; Heiner Kuhlmann; Erich-Christian Oerke; Lutz Plümer (ECCV Workshops (4), 2014)

Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping. - Stefan Paulus; Jan Behmann; Anne-Katrin Mahlein; Lutz Plümer; Heiner Kuhlmann (Sensors, 2014)

Localized multispectral crop imaging sensors: Engineering & validation of a cost effective plant stress and disease sensor. - Bruce Grieve; Simon Hammersley; Anne-Katrin Mahlein; Erich-Christian Oerke; Heiner E. Goldbach (SAS, 2015)

Automated interpretation of 3D laserscanned point clouds for plant organ segmentation. - Mirwaes Wahabzada; Stefan Paulus; Kristian Kersting; Anne-Katrin Mahlein (BMC Bioinform., 2015)

Supplemental Blue LED Lighting Array to Improve the Signal Quality in Hyperspectral Imaging of Plants. - Anne-Katrin Mahlein; Simon Hammersley; Erich-Christian Oerke; Heinz-Wilhelm Dehne; Heiner E. Goldbach; Bruce Grieve (Sensors, 2015)

On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models. - Ribana Roscher; Jan Behmann; Anne-Katrin Mahlein; Lutz Plümer (WHISPERS, 2016)

Generation and application of hyperspectral 3D plant models: methods and challenges. - Jan Behmann; Anne-Katrin Mahlein; Stefan Paulus; Jan Dupuis; Heiner Kuhlmann; Erich-Christian Oerke; Lutz Plümer (Mach. Vis. Appl., 2016)

Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants. - Kristian Kersting; Christian Bauckhage; Mirwaes Wahabzada; Anne-Katrin Mahlein; Ulrike Steiner; Erich-Christian Oerke; Christoph Römer; Lutz Plümer (Computational Sustainability, 2016)

Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms. - Jan Behmann; David Bohnenkamp; Stefan Paulus; Anne-Katrin Mahlein (J. Imaging, 2018)

Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection. - Jan Behmann; Kelvin Acebron; Dzhaner Emin; Simon Bennertz; Shizue Matsubara; Stefan Thomas; David Bohnenkamp; Matheus Thomas Kuska; Jouni Jussila; Harri Salo; Anne-Katrin Mahlein; Uwe Rascher (Sensors, 2018)

Infrared Thermography as a Non-Invasive Tool to Explore Differences in the Musculoskeletal System of Children with Hemophilia Compared to an Age-Matched Healthy Group. - Axel Seuser; Karin Kurnik; Anne-Katrin Mahlein (Sensors, 2018)

In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale. - David Bohnenkamp; Jan Behmann; Anne-Katrin Mahlein (Remote. Sens., 2019)

Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. - Anna Brugger; Jan Behmann; Stefan Paulus; Hans-Georg Luigs; Matheus Thomas Kuska; Patrick Schramowski; Kristian Kersting; Ulrike Steiner; Anne-Katrin Mahlein (Remote. Sens., 2019)

Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale. - Anne-Katrin Mahlein; Elias Alisaac; Ali Al Masri; Jan Behmann; Heinz-Wilhelm Dehne; Erich-Christian Oerke (Sensors, 2019)

Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets. - Behrend Heeren; Stefan Paulus; Heiner E. Goldbach; Heiner Kuhlmann; Anne-Katrin Mahlein; Martin Rumpf; Benedikt Wirth (BMC Bioinform., 2020)

Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. - Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting (CoRR, 2020)

Making deep neural networks right for the right scientific reasons by interacting with their explanations. - Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting (Nat. Mach. Intell., 2020)

Prediction of the Kiwifruit Decline Syndrome in Diseased Orchards by Remote Sensing. - Francesco Savian; Marta Martini; Paolo Ermacora; Stefan Paulus; Anne-Katrin Mahlein (Remote. Sens., 2020)

Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry. - Abel Barreto; Philipp Lottes; Facundo Ramón Ispizua Yamati; Stephen Baumgarten; Nina Anastasia Wolf; Cyrill Stachniss; Anne-Katrin Mahlein; Stefan Paulus (Comput. Electron. Agric., 2021)

Combining expert knowledge and neural networks to model environmental stresses in agriculture. - Kostadin Cvejoski; Jannis Schuecker; Anne-Katrin Mahlein; Bogdan Georgiev (CoRR, 2021)

Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. - Maurice Günder; Facundo Ramón Ispizua Yamati; Jana Kierdorf; Ribana Roscher; Anne-Katrin Mahlein; Christian Bauckhage (CoRR, 2022)

SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet. - Maurice Günder; Facundo Ramón Ispizua Yamati; Abel Andree Barreto Alcántara; Anne-Katrin Mahlein; Rafet Sifa; Christian Bauckhage (CoRR, 2023)

Data Augmentation for Mask-Based Leaf Segmentation of UAV-Images as a Basis to Extract Leaf-Based Phenotyping Parameters. - Abel Barreto; Lasse Reifenrath; Richard Vogg; Fabian H. Sinz; Anne-Katrin Mahlein (Künstliche Intell., 2023)

Towards Agent-based Disease Spread Modeling Combining Knowledge-driven Simulation and Machine Learning. - Maurice Günder; Facundo Ramón Ispizua Yamati; Anne-Katrin Mahlein; Christian Bauckhage (IEEE Big Data, 2024)