A Graph-Theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images
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Feng Lin | Huiqi Li | Ong Kok Haur | Li Cheng | Sohail Ahmed | Xiaowei Zhang | Jaydeep De | Weimiao Yu | Yuanhong Yu | Huiqi Li | F. Lin | Jaydeep De | Li Cheng | Xiaowei Zhang | Weimiao Yu | Yuanhong Yu | Sohail Ahmed
[1] Norman,et al. Structural Models: An Introduction to the Theory of Directed Graphs. , 1966 .
[2] B. A. Farbey,et al. Structural Models: An Introduction to the Theory of Directed Graphs , 1966 .
[3] C. D. Meyer,et al. Singular M-matrices and inverse positivity , 1978 .
[4] Michael A. Saunders,et al. LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares , 1982, TOMS.
[5] Richard A. Brualdi,et al. Combinatorial matrix theory , 1991 .
[6] R. Brualdi,et al. Combinatorial Matrix Theory: Some Special Graphs , 1991 .
[7] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[8] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[9] Hong Shen,et al. Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms , 1999, IEEE Transactions on Information Technology in Biomedicine.
[10] James Demmel,et al. A Supernodal Approach to Sparse Partial Pivoting , 1999, SIAM J. Matrix Anal. Appl..
[11] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[12] A.D. Hoover,et al. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response , 2000, IEEE Transactions on Medical Imaging.
[13] P. Chebotarev,et al. Forest Matrices Around the Laplaeian Matrix , 2002, math/0508178.
[14] Bernhard Schölkopf,et al. Learning with Local and Global Consistency , 2003, NIPS.
[15] Yousef Saad,et al. Iterative methods for sparse linear systems , 2003 .
[16] K. Viswanath,et al. Diabetic retinopathy: clinical findings and management. , 2003, Community eye health.
[17] E Meijering,et al. Design and validation of a tool for neurite tracing and analysis in fluorescence microscopy images , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[18] Francis K. H. Quek,et al. A review of vessel extraction techniques and algorithms , 2004, CSUR.
[19] Timothy A. Davis,et al. Algorithm 832: UMFPACK V4.3---an unsymmetric-pattern multifrontal method , 2004, TOMS.
[20] Max A. Viergever,et al. Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.
[21] Ran El-Yaniv,et al. Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms , 2004, J. Artif. Intell. Res..
[22] M. Foracchia,et al. A new tracking system for the robust extraction of retinal vessel structure , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[23] F. Chung. Laplacians and the Cheeger Inequality for Directed Graphs , 2005 .
[24] Bernhard Schölkopf,et al. Learning from labeled and unlabeled data on a directed graph , 2005, ICML.
[25] Ana Maria Mendonça,et al. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction , 2006, IEEE Transactions on Medical Imaging.
[26] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[27] Roberto Marcondes Cesar Junior,et al. Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification , 2005, IEEE Transactions on Medical Imaging.
[28] Pavel Yu. Chebotarev,et al. Spanning Forests of a Digraph and Their Applications , 2001, ArXiv.
[29] M. Pool,et al. NeuriteTracer: A novel ImageJ plugin for automated quantification of neurite outgrowth , 2008, Journal of Neuroscience Methods.
[30] Michael I. Jordan,et al. Graphical Models, Exponential Families, and Variational Inference , 2008, Found. Trends Mach. Learn..
[31] Max W. K. Law,et al. Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux , 2008, ECCV.
[32] Andrew Hunter,et al. An Active Contour Model for Segmenting and Measuring Retinal Vessels , 2009, IEEE Transactions on Medical Imaging.
[33] H. Lee,et al. Quantitative neurite outgrowth measurement based on image segmentation with topological dependence , 2009, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[34] Pascal Fua,et al. Reconstructing Geometrically Consistent Tree Structures from Noisy Images , 2010, MICCAI.
[35] Chris H. Q. Ding,et al. Directed Graph Learning via High-Order Co-linkage Analysis , 2010, ECML/PKDD.
[36] Laurent D. Cohen,et al. Tubular Structure Segmentation Based on Minimal Path Method and Anisotropic Enhancement , 2011, International Journal of Computer Vision.
[37] Erik Meijering,et al. Neuron tracing in perspective , 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[38] Hanchuan Peng,et al. V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets , 2010, Nature Biotechnology.
[39] José Manuel Bravo,et al. A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features , 2011, IEEE Transactions on Medical Imaging.
[40] Milan Sonka,et al. Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach , 2011, IEEE Transactions on Medical Imaging.
[41] Pascal Fua,et al. Automated Reconstruction of Dendritic and Axonal Trees by Global Optimization with Geometric Priors , 2011, Neuroinformatics.
[42] J. Douglas Armstrong,et al. Bioinformatics Applications Note Systems Biology Simple Neurite Tracer: Open Source Software for Reconstruction, Visualization and Analysis of Neuronal Processes , 2022 .
[43] Giorgio A. Ascoli,et al. The DIADEM Metric: Comparing Multiple Reconstructions of the Same Neuron , 2011, Neuroinformatics.
[44] Chia-Ling Tsai,et al. A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake , 2011, Neuroinformatics.
[45] Chris H. Q. Ding,et al. Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph , 2012, ECCV.
[46] Slawomir J. Nasuto,et al. Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology , 2012, Front. Neuroinform..
[47] David Mayerich,et al. NetMets: software for quantifying and visualizing errors in biological network segmentation , 2012, BMC Bioinformatics.
[48] H. Gurden,et al. Alteration of sensory-evoked metabolic and oscillatory activities in the olfactory bulb of GLAST-deficient mice , 2012, Front. Neural Circuits.
[49] Shih-Fu Chang,et al. Automatic Reconstruction of Neural Morphologies with Multi-Scale Tracking , 2012, Front. Neural Circuits.
[50] P. Bankhead,et al. Fast Retinal Vessel Detection and Measurement Using Wavelets and Edge Location Refinement , 2012, PloS one.
[51] Deniz Erdogmus,et al. Retinal vasculature segmentation using principal spanning forests , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[52] Bunyarit Uyyanonvara,et al. Blood vessel segmentation methodologies in retinal images - A survey , 2012, Comput. Methods Programs Biomed..
[53] Hanchuan Peng,et al. APP2: automatic tracing of 3D neuron morphology based on hierarchical pruning of a gray-weighted image distance-tree , 2013, Bioinform..
[54] Cheng Li,et al. Automated Tracing of Retinal Blood Vessels Using Graphical Models , 2013, SCIA.
[55] Remco Duits,et al. A Multi-Orientation Analysis Approach to Retinal Vessel Tracking , 2012, Journal of Mathematical Imaging and Vision.
[56] Vincent Lepetit,et al. Supervised Feature Learning for Curvilinear Structure Segmentation , 2013, MICCAI.
[57] Feng Lin,et al. Tracing Retinal Blood Vessels by Matrix-Forest Theorem of Directed Graphs , 2014, MICCAI.
[58] François Laviolette,et al. PAC-Bayesian Theory for Transductive Learning , 2014, AISTATS.
[59] Ioannis A. Kakadiaris,et al. Automatic Morphological Reconstruction of Neurons from Multiphoton and Confocal Microscopy Images Using 3D Tubular Models , 2015, Neuroinformatics.