David M. Kramer

Affiliations:
  • Michigan State University, Plant Research Laboratory


According to our database1, David M. Kramer authored at least 13 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Identifying emerging phenomenon in long temporal phenotyping experiments.
Bioinform., 2020

2018
Joint Multi-Leaf Segmentation, Alignment, and Tracking for Fluorescence Plant Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

OLIVER: A Tool for Visual Data Analysis on Longitudinal Plant Phenomics Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
PhenoCurve: capturing dynamic phenotype-environment relationships using phenomics data.
Bioinform., 2017

2016
Leaf segmentation in plant phenotyping: a collation study.
Mach. Vis. Appl., 2016

Multi-modality imagery database for plant phenotyping.
Mach. Vis. Appl., 2016

Inter-functional analysis of high-throughput phenotype data by non-parametric clustering and its application to photosynthesis.
Bioinform., 2016

Growing Depth Image Superpixels for Foliage Modeling.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

2015
Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos.
CoRR, 2015

Plant photosynthesis phenomics data quality control.
Bioinform., 2015

2014
Multi-leaf alignment from fluorescence plant images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Multi-leaf tracking from fluorescence plant videos.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Functional approach to high-throughput plant growth analysis.
BMC Syst. Biol., 2013


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