Multiscale Centerline Detection
暂无分享,去创建一个
Vincent Lepetit | Pascal Fua | Amos Sironi | Engin Türetken | P. Fua | A. Sironi | V. Lepetit | Engin Türetken
[1] J. Friedman. Stochastic gradient boosting , 2002 .
[2] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[3] D Marr,et al. Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[4] Guido Gerig,et al. Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1998, Medical Image Anal..
[5] Max W. K. Law,et al. An Oriented Flux Symmetry Based Active Contour Model for Three Dimensional Vessel Segmentation , 2010, ECCV.
[6] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[7] Laurent D. Cohen,et al. Tubular Structure Segmentation Based on Minimal Path Method and Anisotropic Enhancement , 2011, International Journal of Computer Vision.
[8] Dorin Comaniciu,et al. Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes , 2011, Medical Imaging.
[9] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[10] Jitendra Malik,et al. Learning to detect natural image boundaries using local brightness, color, and texture cues , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Vincent Lepetit,et al. Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters , 2012, MICCAI.
[12] Jürgen Schmidhuber,et al. Multi-column deep neural networks for image classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[13] C. Lawrence Zitnick,et al. Structured Forests for Fast Edge Detection , 2013, 2013 IEEE International Conference on Computer Vision.
[14] Yoshinobu Sato,et al. A Hessian-based filter for vascular segmentation of noisy hepatic CT scans , 2012, International Journal of Computer Assisted Radiology and Surgery.
[15] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[16] Yaonan Wang,et al. Multiscale Bi-Gaussian Filter for Adjacent Curvilinear Structures Detection With Application to Vasculature Images , 2013, IEEE Transactions on Image Processing.
[17] Jan Dirk Wegner,et al. A Higher-Order CRF Model for Road Network Extraction , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Zhuowen Tu,et al. Supervised Learning of Edges and Object Boundaries , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[19] Badrinath Roysam,et al. 3-D Image Pre-processing Algorithms for Improved Automated Tracing of Neuronal Arbors , 2011, Neuroinformatics.
[20] Ghassan Hamarneh,et al. Hair Enhancement in Dermoscopic Images Using Dual-Channel Quaternion Tubularness Filters and MRF-Based Multilabel Optimization , 2014, IEEE Transactions on Image Processing.
[21] Pascal Fua,et al. Reconstructing Loopy Curvilinear Structures Using Integer Programming , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Pascal Fua,et al. Steerable Features for Statistical 3D Dendrite Detection , 2009, MICCAI.
[23] Mathews Jacob,et al. Design of steerable filters for feature detection using canny-like criteria , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Zhuowen Tu,et al. Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Shaohua Kevin Zhou,et al. Hierarchical Discriminative Framework for Detecting Tubular Structures in 3D Images , 2013, IPMI.
[26] Daphne Koller,et al. Learning Spatial Context: Using Stuff to Find Things , 2008, ECCV.
[27] Pietro Perona,et al. Hierarchical Scene Annotation , 2013, BMVC.
[28] Tolga Tasdizen,et al. Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks , 2013, 2013 IEEE International Conference on Computer Vision.
[29] Martin Styner,et al. Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms , 2009, Medical Image Anal..
[30] Guillermo Sapiro,et al. Discriminative learned dictionaries for local image analysis , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Rachid Deriche,et al. Using Canny's criteria to derive a recursively implemented optimal edge detector , 1987, International Journal of Computer Vision.
[32] Vincent Lepetit,et al. Learning Separable Filters , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Hanspeter Pfister,et al. Detection of Neuron Membranes in Electron Microscopy Images Using Multi-scale Context and Radon-Like Features , 2011, MICCAI.
[34] Chao Lu,et al. A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Joseph J. Lim,et al. Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Jonathan T. Barron,et al. Multiscale Combinatorial Grouping , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Ross T. Whitaker,et al. Detection of neuron membranes in electron microscopy images using a serial neural network architecture , 2010, Medical Image Anal..
[38] Antonio Torralba,et al. Sharing features: efficient boosting procedures for multiclass object detection , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[39] Xiaofeng Ren,et al. Discriminatively Trained Sparse Code Gradients for Contour Detection , 2012, NIPS.
[40] Nicholas Ayache,et al. Model-Based Detection of Tubular Structures in 3D Images , 2000, Comput. Vis. Image Underst..
[41] Hongkai Xiong,et al. 3D tubular structure extraction using kernel-based superellipsoid model with Gaussian process regression , 2012, 2012 Visual Communications and Image Processing.
[42] Gabriel Peyré,et al. Extraction of tubular structures over an orientation domain , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Max W. K. Law,et al. Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux , 2008, ECCV.
[44] Gady Agam,et al. Probabilistic modeling based vessel enhancement in thoracic CT scans , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[45] Tony Lindeberg,et al. Scale-Space for Discrete Signals , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[46] I. Kakadiaris,et al. Towards Segmentation of Irregular Tubular Structures in 3 D Confocal Microscope Images , 2006 .
[47] Xin Huang,et al. Road centreline extraction from high‐resolution imagery based on multiscale structural features and support vector machines , 2009 .
[48] Geoffrey E. Hinton,et al. Learning to Label Aerial Images from Noisy Data , 2012, ICML.
[49] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Yuanzhong Li,et al. A machine learning approach to extract spinal column centerline from three-dimensional CT data , 2009, Medical Imaging.
[51] 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.
[52] Pascal Fua,et al. Detecting Irregular Curvilinear Structures in Gray Scale and Color Imagery Using Multi-directional Oriented Flux , 2013, 2013 IEEE International Conference on Computer Vision.
[53] Vincent Lepetit,et al. Supervised Feature Learning for Curvilinear Structure Segmentation , 2013, MICCAI.
[54] Pietro Perona,et al. Mutual Boosting for Contextual Inference , 2003, NIPS.
[55] Guido Gerig,et al. 3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1997, CVRMed.
[56] Vincent Lepetit,et al. Multiscale Centerline Detection by Learning a Scale-Space Distance Transform , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[57] Luca Maria Gambardella,et al. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images , 2012, NIPS.
[58] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[59] Charles V. Stewart,et al. Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures , 2006, IEEE Transactions on Medical Imaging.
[60] Pascal Fua,et al. Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D images and 3D image stacks , 2013 .