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Computers in Biology and Medicine
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December 15, 2012
Statistical pitfalls in the comparison of multivariate causality measures for effective causality
Esther Florin, Johannes Pfeifer
Plant Methods
|
September 1, 2015
Rapid phenotyping of crop root systems in undisturbed field soils using X-ray computed tomography
Johannes Pfeifer, Norbert Kirchgessner, Tino Colombi, et al.
Plant, Cell & Environment
|
April 9, 2015
Assessing potato tuber diel growth by means of X-ray computed tomography
Eduardo Pérez-Torres, Norbert Kirchgessner, Johannes Pfeifer, et al.
Journal of Plant Research
|
August 4, 2017
Non-destructive measurement of soybean leaf thickness via X-ray computed tomography allows the study of diel leaf growth rhythms in the third dimension
Johannes Pfeifer, Michael Mielewczik, Michael Friedli, et al.
Neuroimage
|
December 23, 2009
The effect of filtering on Granger causality based multivariate causality measures
Esther Florin, Joachim Gross, Johannes Pfeifer, et al.
Journal of Neuroscience Methods
|
April 26, 2011
Reliability of multivariate causality measures for neural data
Esther Florin, Joachim Gross, Johannes Pfeifer, et al.
Neuroscience
|
July 10, 2016
Parkinson subtype-specific Granger-causal coupling and coherence frequency in the subthalamic area
Esther Florin, Johannes Pfeifer, Veerle Visser-Vandewalle, et al.
Plant Methods
|
September 8, 2016
RADIX: rhizoslide platform allowing high throughput digital image analysis of root system expansion
Chantal Le Marié, Norbert Kirchgessner, Patrick Flütsch, et al.
Brain : a Journal of Neurology
|
September 28, 2013
Subthalamic stimulation modulates self-estimation of patients with Parkinson's disease and induces risk-seeking behaviour
Esther Florin, Désirée Müller, Johannes Pfeifer, et al.
Functional Plant Biology : FPB
|
June 3, 2020
The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system
Norbert Kirchgessner, Frank Liebisch, Kang Yu, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Computers in Biology and Medicine
|
December 15, 2012
Statistical pitfalls in the comparison of multivariate causality measures for effective causality
Esther Florin, Johannes Pfeifer
Plant Methods
|
September 1, 2015
Rapid phenotyping of crop root systems in undisturbed field soils using X-ray computed tomography
Johannes Pfeifer, Norbert Kirchgessner, Tino Colombi, et al.
Plant, Cell & Environment
|
April 9, 2015
Assessing potato tuber diel growth by means of X-ray computed tomography
Eduardo Pérez-Torres, Norbert Kirchgessner, Johannes Pfeifer, et al.
Journal of Plant Research
|
August 4, 2017
Non-destructive measurement of soybean leaf thickness via X-ray computed tomography allows the study of diel leaf growth rhythms in the third dimension
Johannes Pfeifer, Michael Mielewczik, Michael Friedli, et al.
Neuroimage
|
December 23, 2009
The effect of filtering on Granger causality based multivariate causality measures
Esther Florin, Joachim Gross, Johannes Pfeifer, et al.
Journal of Neuroscience Methods
|
April 26, 2011
Reliability of multivariate causality measures for neural data
Esther Florin, Joachim Gross, Johannes Pfeifer, et al.
Neuroscience
|
July 10, 2016
Parkinson subtype-specific Granger-causal coupling and coherence frequency in the subthalamic area
Esther Florin, Johannes Pfeifer, Veerle Visser-Vandewalle, et al.
Plant Methods
|
September 8, 2016
RADIX: rhizoslide platform allowing high throughput digital image analysis of root system expansion
Chantal Le Marié, Norbert Kirchgessner, Patrick Flütsch, et al.
Brain : a Journal of Neurology
|
September 28, 2013
Subthalamic stimulation modulates self-estimation of patients with Parkinson's disease and induces risk-seeking behaviour
Esther Florin, Désirée Müller, Johannes Pfeifer, et al.
Functional Plant Biology : FPB
|
June 3, 2020
The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system
Norbert Kirchgessner, Frank Liebisch, Kang Yu, et al.
Page
of 2