Artikler med krav om offentlig adgang - Dr. Christian KlukasFå flere oplysninger
Ikke tilgængelig nogen steder: 1
3-D histogram-based segmentation and leaf detection for rosette plants
JM Pape, C Klukas
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015
Krav: Leibniz Association
Tilgængelige et sted: 20
Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis
D Chen, K Neumann, S Friedel, B Kilian, M Chen, T Altmann, C Klukas
The plant cell 26 (12), 4636-4655, 2014
Krav: National Natural Science Foundation of China, Leibniz Association
Advanced phenotyping and phenotype data analysis for the study of plant growth and development
MM Rahaman, D Chen, Z Gillani, C Klukas, M Chen
Frontiers in plant science 6, 619, 2015
Krav: National Natural Science Foundation of China
Leaf segmentation in plant phenotyping: a collation study
H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ...
Machine vision and applications 27, 585-606, 2016
Krav: US Department of Energy
Integrated analysis platform: an open-source information system for high-throughput plant phenotyping
C Klukas, D Chen, JM Pape
Plant physiology 165 (2), 506-518, 2014
Krav: National Natural Science Foundation of China, Leibniz Association
Measures for interoperability of phenotypic data: minimum information requirements and formatting
H Ćwiek-Kupczyńska, T Altmann, D Arend, E Arnaud, D Chen, G Cornut, ...
Plant Methods 12, 1-18, 2016
Krav: Federal Ministry of Education and Research, Germany
Genetic variation of growth dynamics in maize (Zea mays L.) revealed through automated non‐invasive phenotyping
MM Muraya, J Chu, Y Zhao, A Junker, C Klukas, JC Reif, T Altmann
The Plant Journal 89 (2), 366-380, 2017
Krav: Federal Ministry of Education and Research, Germany
Dissecting spatiotemporal biomass accumulation in barley under different water regimes using high‐throughput image analysis
K Neumann, C Klukas, S Friedel, P Rischbeck, D Chen, A Entzian, ...
Plant, cell & environment 38 (10), 1980-1996, 2015
Krav: Leibniz Association
Predicting plant biomass accumulation from image-derived parameters
D Chen, R Shi, JM Pape, K Neumann, D Arend, A Graner, M Chen, ...
GigaScience 7 (2), giy001, 2018
Krav: Leibniz Association, Federal Ministry of Education and Research, Germany
Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images
JM Pape, C Klukas
Proceedings of the Computer Vision Problems in Plant Phenotyping (CVPPP) 3, 1-12, 2015
Krav: Leibniz Association
Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets
A Picon, MG San-Emeterio, A Bereciartua-Perez, C Klukas, T Eggers, ...
Computers and Electronics in Agriculture 194, 106719, 2022
Krav: Government of Spain
Antisense inhibition of the plastidial glucose‐6‐phosphate/phosphate translocator in Vicia seeds shifts cellular differentiation and promotes protein storage
H Rolletschek, TH Nguyen, RE Häusler, T Rutten, C Göbel, I Feussner, ...
The Plant Journal 51 (3), 468-484, 2007
Krav: German Research Foundation
Genome-wide association mapping in a diverse spring barley collection reveals the presence of QTL hotspots and candidate genes for root and shoot architecture traits at …
AH Abdel-Ghani, R Sharma, C Wabila, S Dhanagond, SJ Owais, ...
BMC Plant Biology 19, 1-19, 2019
Krav: German Research Foundation, Leibniz Association, Federal Ministry of …
Lessons from GNE-deficient embryonic stem cells: sialic acid biosynthesis is involved in proliferation and gene expression
W Weidemann, C Klukas, A Klein, A Simm, F Schreiber, R Horstkorte
Glycobiology 20 (1), 107-117, 2010
Krav: German Research Foundation
Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping
D Arend, M Lange, JM Pape, K Weigelt-Fischer, F Arana-Ceballos, ...
Scientific Data 3 (1), 1-13, 2016
Krav: Leibniz Association
Dissecting the chromatin interactome of microRNA genes
D Chen, LY Fu, Z Zhang, G Li, H Zhang, L Jiang, AP Harrison, ...
Nucleic acids research 42 (5), 3028-3043, 2014
Krav: US National Institutes of Health
Analysis of few-shot techniques for fungal plant disease classification and evaluation of clustering capabilities over real datasets
I Egusquiza, A Picon, U Irusta, A Bereciartua-Perez, T Eggers, C Klukas, ...
Frontiers in Plant Science 13, 813237, 2022
Krav: Government of Spain
The HTPmod Shiny application enables modeling and visualization of large-scale biological data
D Chen, LY Fu, D Hu, C Klukas, M Chen, K Kaufmann
Communications biology 1 (1), 89, 2018
Krav: National Natural Science Foundation of China, Leibniz Association, Federal …
Non‐canonical structure, function and phylogeny of the Bsister MADS‐box gene OsMADS30 of rice (Oryza sativa)
S Schilling, L Gramzow, D Lobbes, A Kirbis, L Weilandt, A Hoffmeier, ...
The Plant Journal 84 (6), 1059-1072, 2015
Krav: German Research Foundation
Precision phenotyping across the life cycle to validate and decipher drought-adaptive QTLs of wild emmer wheat (Triticum turgidum ssp. dicoccoides) introduced …
M Lauterberg, Y Saranga, M Deblieck, C Klukas, T Krugman, D Perovic, ...
Frontiers in Plant Science 13, 965287, 2022
Krav: European Commission
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