暂无分享,去创建一个
[1] Carlos Ortiz-de-Solorzano,et al. Combination Strategies in Multi-Atlas Image Segmentation: Application to Brain MR Data , 2009, IEEE Transactions on Medical Imaging.
[2] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[3] Carlos Platero,et al. A label fusion method using conditional random fields with higher-order potentials: Application to hippocampal segmentation , 2015, Artif. Intell. Medicine.
[4] Konstantinos G. Derpanis,et al. Three-dimensional nth derivative of Gaussian separable steerable filters , 2005, IEEE International Conference on Image Processing 2005.
[5] Daoqiang Zhang,et al. A generative probability model of joint label fusion for multi-atlas based brain segmentation , 2014, Medical Image Anal..
[6] Mert R. Sabuncu,et al. A Generative Model for Image Segmentation Based on Label Fusion , 2010, IEEE Transactions on Medical Imaging.
[7] Daniel Rueckert,et al. Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy , 2009, NeuroImage.
[8] Brian B. Avants,et al. Integrated Graph Cuts for Brain MRI Segmentation , 2006, MICCAI.
[9] Norbert Schuff,et al. Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease , 2010, NeuroImage.
[10] J. Barnes,et al. A comparison of methods for the automated calculation of volumes and atrophy rates in the hippocampus , 2008, NeuroImage.
[11] Daniel Rueckert,et al. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion , 2006, NeuroImage.
[12] Bennett A Landman,et al. Non-local statistical label fusion for multi-atlas segmentation , 2013, Medical Image Anal..
[13] Max A. Viergever,et al. Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus , 2010, Medical Image Anal..
[14] Colin Studholme,et al. An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..
[15] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[16] Torsten Rohlfing,et al. Image Similarity and Tissue Overlaps as Surrogates for Image Registration Accuracy: Widely Used but Unreliable , 2012, IEEE Transactions on Medical Imaging.
[17] Pierrick Coupé,et al. An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images , 2008, IEEE Transactions on Medical Imaging.
[18] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .
[19] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[20] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[21] William M. Wells,et al. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation , 2004, IEEE Transactions on Medical Imaging.
[22] W. Eric L. Grimson,et al. Logarithm Odds Maps for Shape Representation , 2006, MICCAI.
[23] Paul A. Viola,et al. Alignment by Maximization of Mutual Information , 1997, International Journal of Computer Vision.
[24] Stefan Klein,et al. Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information. , 2008, Medical physics.
[25] Antonio Criminisi,et al. TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context , 2007, International Journal of Computer Vision.
[26] Torsten Rohlfing,et al. Quo Vadis, Atlas-Based Segmentation? , 2005 .
[27] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[28] Vladimir Kolmogorov,et al. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Michael Unser,et al. Optimization of mutual information for multiresolution image registration , 2000, IEEE Trans. Image Process..
[30] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[31] Sandra E. Black,et al. A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer's disease , 2013, NeuroImage.
[32] Daniel Rueckert,et al. Measurements of medial temporal lobe atrophy for prediction of Alzheimer's disease in subjects with mild cognitive impairment , 2013, Neurobiology of Aging.
[33] Xiao Han,et al. Atlas Renormalization for Improved Brain MR Image Segmentation Across Scanner Platforms , 2007, IEEE Transactions on Medical Imaging.
[34] Jyrki Lötjönen,et al. Multi-class brain segmentation using atlas propagation and EM-based refinement , 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).
[35] D. Louis Collins,et al. The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: Evidence of validity , 2015, Alzheimer's & Dementia.
[36] Wiro J. Niessen,et al. Hippocampus segmentation in MR images using atlas registration, voxel classification, and graph cuts , 2008, NeuroImage.
[37] Josien P. W. Pluim,et al. Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines , 2007, IEEE Transactions on Image Processing.
[38] Dinggang Shen,et al. Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation , 2010, NeuroImage.
[39] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[40] Arthur W. Toga,et al. Fusing adaptive atlas and informative features for robust 3D brain image segmentation , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[41] Hamid Soltanian-Zadeh,et al. Dataset of Magnetic Resonance Images of Nonepileptic Subjects and Temporal Lobe Epilepsy Patients for Validation of Hippocampal Segmentation Techniques , 2011, Neuroinformatics.
[42] Juha Koikkalainen,et al. Fast and robust multi-atlas segmentation of brain magnetic resonance images , 2010, NeuroImage.
[43] Max A. Viergever,et al. elastix: A Toolbox for Intensity-Based Medical Image Registration , 2010, IEEE Transactions on Medical Imaging.
[44] Arno Klein,et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration , 2009, NeuroImage.
[45] D. Louis Collins,et al. Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion , 2010, NeuroImage.
[46] Roberto Cipolla,et al. Semantic texton forests for image categorization and segmentation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[47] Daniel Rueckert,et al. An evaluation of four automatic methods of segmenting the subcortical structures in the brain , 2009, NeuroImage.
[48] Jyrki Lötjönen,et al. Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI , 2010, NeuroImage.
[49] Paul A. Yushkevich,et al. Multi-Atlas Segmentation with Joint Label Fusion , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Colin Studholme,et al. A Supervised Patch-Based Approach for Human Brain Labeling , 2011, IEEE Transactions on Medical Imaging.
[51] Sunil Arya,et al. ANN: library for approximate nearest neighbor searching , 1998 .
[52] Stephen M. Smith,et al. Enhanced brain extraction improves the accuracy of brain atrophy estimation , 2008, NeuroImage.
[53] Wilhelm Burger,et al. Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.
[54] Carlos Platero,et al. A Multiatlas Segmentation Using Graph Cuts with Applications to Liver Segmentation in CT Scans , 2014, Comput. Math. Methods Medicine.
[55] Jitendra Malik,et al. Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons , 2001, International Journal of Computer Vision.
[56] Daniel Rueckert,et al. Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling , 2013, NeuroImage.
[57] Paul M. Thompson,et al. Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models , 2008, IEEE Transactions on Medical Imaging.
[58] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[59] D. Louis Collins,et al. Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation , 2011, NeuroImage.