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[1]  Stefan Mairhofer,et al.  On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images. , 2015, Functional plant biology : FPB.

[2]  Ulrich Schurr,et al.  Direct comparison of MRI and X-ray CT technologies for 3D imaging of root systems in soil: potential and challenges for root trait quantification , 2015, Plant Methods.

[3]  Michael P. Pound,et al.  Root System Markup Language: Toward a Unified Root Architecture Description Language1[OPEN] , 2015, Plant Physiology.

[4]  Tony P. Pridmore,et al.  Visual Object Tracking for the Extraction of Multiple Interacting Plant Root Systems , 2014, ECCV Workshops.

[5]  A. Greenberg,et al.  High-Resolution Inflorescence Phenotyping Using a Novel Image-Analysis Pipeline, PANorama1[W][OPEN] , 2014, Plant Physiology.

[6]  S. Mooney,et al.  Effects of X-Ray Dose On Rhizosphere Studies Using X-Ray Computed Tomography , 2013, PloS one.

[7]  Stefan Mairhofer,et al.  Recovering complete plant root system architectures from soil via X-ray μ-Computed Tomography , 2013, Plant Methods.

[8]  Xavier Draye,et al.  Novel scanning procedure enabling the vectorization of entire rhizotron-grown root systems , 2013, Plant Methods.

[9]  Philippe Lucidarme,et al.  On the use of depth camera for 3D phenotyping of entire plants , 2012 .

[10]  S. Mooney,et al.  Developing X-ray Computed Tomography to non-invasively image 3-D root systems architecture in soil , 2012, Plant and Soil.

[11]  S. Mooney,et al.  RooTrak: Automated Recovery of Three-Dimensional Plant Root Architecture in Soil from X-Ray Microcomputed Tomography Images Using Visual Tracking1[W] , 2011, Plant Physiology.

[12]  J. Lynch,et al.  Shovelomics: high throughput phenotyping of maize (Zea mays L.) root architecture in the field , 2011, Plant and Soil.

[13]  R. MacCurdy,et al.  Three-Dimensional Root Phenotyping with a Novel Imaging and Software Platform1[C][W][OA] , 2011, Plant Physiology.

[14]  Joshua S. Weitz,et al.  Leaf Extraction and Analysis Framework Graphical User Interface: Segmenting and Analyzing the Structure of Leaf Veins and Areoles1[W][OA] , 2010, Plant Physiology.

[15]  Erik Meijering,et al.  Neuron tracing in perspective , 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[16]  Ulrich Schurr,et al.  Combined MRI-PET dissects dynamic changes in plant structures and functions. , 2009, The Plant journal : for cell and molecular biology.

[17]  M. Crespi,et al.  Plant root growth, architecture and function , 2009, Plant and Soil.

[18]  J. Perret,et al.  Non-destructive visualization and quantification of roots using computed tomography , 2007 .

[19]  Shiv O. Prasher,et al.  Advances in the acquisition and analysis of CT scan data to isolate a crop root system from the soil medium and quantify root system complexity in 3-D space , 2006 .

[20]  Anders Kaestner,et al.  Visualizing three-dimensional root networks using computed tomography , 2006 .

[21]  H. Schenk,et al.  Root competition: beyond resource depletion , 2006 .

[22]  Milan Sonka,et al.  Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans , 2005, IEEE Transactions on Medical Imaging.

[23]  Frank Dellaert,et al.  MCMC-based particle filtering for tracking a variable number of interacting targets , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Peter J. Gregory,et al.  Rhizosphere geometry and heterogeneity arising from root-mediated physical and chemical processes. , 2005, The New phytologist.

[25]  Hongkai Zhao,et al.  A fast sweeping method for Eikonal equations , 2004, Math. Comput..

[26]  D. Aykac,et al.  Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images , 2003, IEEE Transactions on Medical Imaging.

[27]  Nicolas Flasque,et al.  Acquisition, segmentation and tracking of the cerebral vascular tree on 3D magnetic resonance angiography images , 2001, Medical Image Anal..

[28]  Marc Levoy,et al.  Efficient variants of the ICP algorithm , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[29]  Alex M. Andrew.  Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science (2nd edition) , 2000 .

[30]  J. Alison Noble,et al.  An adaptive segmentation algorithm for time-of-flight MRA data , 1999, IEEE Transactions on Medical Imaging.

[31]  Chris Moran,et al.  X-ray computed tomography to quantify tree rooting spatial distributions , 1999 .

[32]  J. Hopmans,et al.  Three dimensional imaging of plant roots in situ with X-ray Computed Tomography , 1997, Plant and Soil.

[33]  Milan Sonka,et al.  Rule-based detection of intrathoracic airway trees , 1996, IEEE Trans. Medical Imaging.

[34]  J. Lynch.  Root Architecture and Plant Productivity , 1995, Plant physiology.

[35]  Baba C. Vemuri,et al.  Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[36]  D. Chopp.  Computing Minimal Surfaces via Level Set Curvature Flow , 1993 .

[37]  Luc Vincent,et al.  Morphological grayscale reconstruction in image analysis: applications and efficient algorithms , 1993, IEEE Trans. Image Process..

[38]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[39]  Gösta H. Granlund,et al.  Fourier Preprocessing for Hand Print Character Recognition , 1972, IEEE Transactions on Computers.

[40]  Daniel J. Aneshansley,et al.  2 3-Dimensional Root Phenotyping with a Novel Imaging and Software Platform , 2011 .

[41]  J. Sethian.  Level Set Techniques for Tracking Interfaces ; Fast Algorithms , Multiple Regions , Grid Generation , and Shape / Character Recognition , 2006 .

[42]  Paul L. Rosin.  Unimodal thresholding , 2001, Pattern Recognit..

[43]  Peter N. Yianilos,et al.  Data structures and algorithms for nearest neighbor search in general metric spaces , 1993, SODA '93.

[44]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[45]  Jianhua Lin,et al.  Divergence measures based on the Shannon entropy , 1991, IEEE Trans. Inf. Theory.

[46]  Azriel Rosenfeld,et al.  Connectivity in Digital Pictures , 1970, JACM.