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Items: 6


Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants.

Wahabzada M, Mahlein AK, Bauckhage C, Steiner U, Oerke EC, Kersting K.

Sci Rep. 2016 Mar 9;6:22482. doi: 10.1038/srep22482.


Non-negative matrix factorization for the near real-time interpretation of absorption effects in elemental distribution images acquired by X-ray fluorescence imaging.

Alfeld M, Wahabzada M, Bauckhage C, Kersting K, Wellenreuther G, Barriobero-Vila P, Requena G, Boesenberg U, Falkenberg G.

J Synchrotron Radiat. 2016 Mar;23(2):579-89. doi: 10.1107/S1600577515023528. Epub 2016 Feb 11.


Automated interpretation of 3D laserscanned point clouds for plant organ segmentation.

Wahabzada M, Paulus S, Kersting K, Mahlein AK.

BMC Bioinformatics. 2015 Aug 8;16:248. doi: 10.1186/s12859-015-0665-2.


Hyperspectral phenotyping on the microscopic scale: towards automated characterization of plant-pathogen interactions.

Kuska M, Wahabzada M, Leucker M, Dehne HW, Kersting K, Oerke EC, Steiner U, Mahlein AK.

Plant Methods. 2015 Apr 15;11:28. doi: 10.1186/s13007-015-0073-7. eCollection 2015.


Metro maps of plant disease dynamics--automated mining of differences using hyperspectral images.

Wahabzada M, Mahlein AK, Bauckhage C, Steiner U, Oerke EC, Kersting K.

PLoS One. 2015 Jan 26;10(1):e0116902. doi: 10.1371/journal.pone.0116902. eCollection 2015.


Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning.

Ganzert S, Guttmann J, Kersting K, Kuhlen R, Putensen C, Sydow M, Kramer S.

Artif Intell Med. 2002 Sep-Oct;26(1-2):69-86.


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