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Items: 7

1.

Spectral Patterns Reveal Early Resistance Reactions of Barley Against Blumeria graminis f. sp. hordei.

Kuska MT, Brugger A, Thomas S, Wahabzada M, Kersting K, Oerke EC, Steiner U, Mahlein AK.

Phytopathology. 2017 Nov;107(11):1388-1398. doi: 10.1094/PHYTO-04-17-0128-R. Epub 2017 Sep 7.

PMID:
28665761
2.

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.

3.

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.

PMID:
26917147
4.

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.

5.

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.

6.

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.

7.

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.

PMID:
12234718

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