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ORCIDAnne-Katrin Mahlein
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2020 – today
- 2023
[j16]Abel Barreto
, Lasse Reifenrath, Richard Vogg, Fabian Sinz, Anne-Katrin Mahlein:
Data Augmentation for Mask-Based Leaf Segmentation of UAV-Images as a Basis to Extract Leaf-Based Phenotyping Parameters. Künstliche Intell. 37(2): 143-156 (2023)- [i4]Maurice Günder, Facundo Ramón Ispizua Yamati, Abel Andree Barreto Alcántara, Anne-Katrin Mahlein, Rafet Sifa, Christian Bauckhage:
SugarViT - Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet. CoRR abs/2311.03076 (2023) - 2022
- [i3]Maurice Günder, Facundo Ramón Ispizua Yamati, Jana Kierdorf, Ribana Roscher, Anne-Katrin Mahlein, Christian Bauckhage:
Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision. CoRR abs/2201.02885 (2022) - 2021
- [j15]Abel Barreto, Philipp Lottes, Facundo Ramón Ispizua Yamati, Stephen Baumgarten, Nina Anastasia Wolf, Cyrill Stachniss, Anne-Katrin Mahlein, Stefan Paulus:
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry. Comput. Electron. Agric. 191: 106493 (2021) - [i2]Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev:
Combining expert knowledge and neural networks to model environmental stresses in agriculture. CoRR abs/2111.00918 (2021) - 2020
- [j14]Behrend Heeren, Stefan Paulus, Heiner E. Goldbach, Heiner Kuhlmann, Anne-Katrin Mahlein, Martin Rumpf, Benedikt Wirth:
Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets. BMC Bioinform. 21(1): 335 (2020) - [j13]Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting:
Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nat. Mach. Intell. 2(8): 476-486 (2020) - [j12]Francesco Savian, Marta Martini, Paolo Ermacora, Stefan Paulus, Anne-Katrin Mahlein:
Prediction of the Kiwifruit Decline Syndrome in Diseased Orchards by Remote Sensing. Remote. Sens. 12(14): 2194 (2020) - [i1]Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting:
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. CoRR abs/2001.05371 (2020)
2010 – 2019
- 2019
- [j11]Anna Brugger, Jan Behmann, Stefan Paulus, Hans-Georg Luigs, Matheus Thomas Kuska, Patrick Schramowski, Kristian Kersting, Ulrike Steiner, Anne-Katrin Mahlein:
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. Remote. Sens. 11(12): 1401 (2019) - [j10]David Bohnenkamp, Jan Behmann, Anne-Katrin Mahlein:
In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale. Remote. Sens. 11(21): 2495 (2019) - [j9]Anne-Katrin Mahlein, Elias Alisaac, Ali Al Masri, Jan Behmann, Heinz-Wilhelm Dehne, Erich-Christian Oerke:
Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale. Sensors 19(10): 2281 (2019) - 2018
- [j8]Jan Behmann, David Bohnenkamp, Stefan Paulus, Anne-Katrin Mahlein:
Spatial Referencing of Hyperspectral Images for Tracing of Plant Disease Symptoms. J. Imaging 4(12): 143 (2018) - [j7]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:
Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection. Sensors 18(2): 441 (2018) - [j6]Axel Seuser, Karin Kurnik, Anne-Katrin Mahlein:
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. Sensors 18(2): 518 (2018) - 2016
- [j5]Jan Behmann, Anne-Katrin Mahlein, Stefan Paulus, Jan Dupuis, Heiner Kuhlmann, Erich-Christian Oerke, Lutz Plümer:
Generation and application of hyperspectral 3D plant models: methods and challenges. Mach. Vis. Appl. 27(5): 611-624 (2016) - [c4]Ribana Roscher, Jan Behmann, Anne-Katrin Mahlein, Lutz Plümer:
On the benefit of topographic dictionaries for detecting disease symptoms on hyperspectral 3D plant models. WHISPERS 2016: 1-5 - [p1]Kristian Kersting, Christian Bauckhage, Mirwaes Wahabzada, Anne-Katrin Mahlein, Ulrike Steiner, Erich-Christian Oerke, Christoph Römer, Lutz Plümer:
Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants. Computational Sustainability 2016: 99-120 - 2015
- [j4]Mirwaes Wahabzada, Stefan Paulus, Kristian Kersting, Anne-Katrin Mahlein:
Automated interpretation of 3D laserscanned point clouds for plant organ segmentation. BMC Bioinform. 16: 248:1-248:11 (2015) - [j3]Anne-Katrin Mahlein, Simon Hammersley, Erich-Christian Oerke, Heinz-Wilhelm Dehne, Heiner E. Goldbach, Bruce Grieve:
Supplemental Blue LED Lighting Array to Improve the Signal Quality in Hyperspectral Imaging of Plants. Sensors 15(6): 12834-12840 (2015) - [c3]Bruce Grieve, Simon Hammersley, Anne-Katrin Mahlein, Erich-Christian Oerke, Heiner E. Goldbach:
Localized multispectral crop imaging sensors: Engineering & validation of a cost effective plant stress and disease sensor. SAS 2015: 1-6 - 2014
- [j2]Stefan Paulus, Jan Behmann, Anne-Katrin Mahlein, Lutz Plümer, Heiner Kuhlmann:
Low-Cost 3D Systems: Suitable Tools for Plant Phenotyping. Sensors 14(2): 3001-3018 (2014) - [c2]Jan Behmann, Anne-Katrin Mahlein, Stefan Paulus, Heiner Kuhlmann, Erich-Christian Oerke, Lutz Plümer:
Generation and Application of Hyperspectral 3D Plant Models. ECCV Workshops (4) 2014: 117-130 - 2013
- [j1]Stefan Paulus, Jan Dupuis, Anne-Katrin Mahlein, Heiner Kuhlmann:
Surface feature based classification of plant organs from 3D laserscanned point clouds for plant phenotyping. BMC Bioinform. 14: 238 (2013) - 2010
- [c1]Till Rumpf, Christoph Römer, Lutz Plümer, Anne-Katrin Mahlein:
Optimalwavelengths for an early identification of Cercospora beticola with Support Vector Machines based on hyperspectral reflection data. IGARSS 2010: 327-330
Coauthor Index
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