Characterizing Imaging Data
暂无分享,去创建一个
[1] P. Rüegsegger,et al. Peripheral QCT: a low-risk procedure to identify women predisposed to osteoporosis. , 1989, Physics in medicine and biology.
[2] Usha S. Sinha,et al. Denoising diffusion tensor images: preprocessing for automated detection of subtle diffusion tensor abnormalities between populations , 2006, SPIE Medical Imaging.
[3] Timothy D. Solberg,et al. Radiation dose in Spiral CT: The relative effects of collimation and pitch , 1999 .
[4] Toshihiro Kumabe,et al. Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. , 2006, Radiology.
[5] Jie Yang,et al. Degree prediction of malignancy in brain glioma using support vector machines , 2006, Comput. Biol. Medicine.
[6] Savita Gupta,et al. Image Denoising Using Wavelet Thresholding , 2002, ICVGIP.
[7] A F Laine,et al. Quantification of myocardial perfusion in human subjects using 82Rb and wavelet-based noise reduction. , 2001, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[8] E. Pedroni,et al. The calibration of CT Hounsfield units for radiotherapy treatment planning. , 1996, Physics in medicine and biology.
[9] Bjarne K. Ersbøll,et al. FAME-a flexible appearance modeling environment , 2003, IEEE Transactions on Medical Imaging.
[10] M. Fox,et al. Fractal feature analysis and classification in medical imaging. , 1989, IEEE transactions on medical imaging.
[11] G. Sapiro,et al. Geometric partial differential equations and image analysis [Book Reviews] , 2001, IEEE Transactions on Medical Imaging.
[12] R Haux,et al. Medical Imaging Informatics and Medical Informatics: Opportunities and Constraints , 2002, Methods of Information in Medicine.
[13] Yunmei Chen,et al. DT-MRI denoising and neuronal fiber tracking , 2004, Medical Image Anal..
[14] D. Hill,et al. Medical image registration , 2001, Physics in medicine and biology.
[15] Max A. Viergever,et al. A survey of medical image registration , 1998, Medical Image Anal..
[16] Tony Lindeberg,et al. Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.
[17] Long Zhu,et al. Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing , 2006, NIPS.
[18] Azriel Rosenfeld,et al. Picture Processing and Psychopictorics , 1970 .
[19] Hans Henrik Thodberg,et al. Minimum Description Length Shape and Appearance Models , 2003, IPMI.
[20] P. Hunter,et al. Integration from proteins to organs: the Physiome Project , 2003, Nature Reviews Molecular Cell Biology.
[21] H. Gudbjartsson,et al. The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.
[22] René M. Botnar,et al. Coronary magnetic resonance angiography for the detection of coronary stenoses. , 2001, The New England journal of medicine.
[23] C. Cann,et al. Quantitative CT for determination of bone mineral density: a review. , 1988, Radiology.
[24] Alejandro F. Frangi,et al. Active shape model segmentation with optimal features , 2002, IEEE Transactions on Medical Imaging.
[25] Andrew F. Laine,et al. Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing , 1998, IEEE Transactions on Medical Imaging.
[26] I. Jolliffe. Principal Component Analysis , 2002 .
[27] B. Rutt,et al. Rapid combined T1 and T2 mapping using gradient recalled acquisition in the steady state , 2003, Magnetic resonance in medicine.
[28] Jean-Philippe Thirion,et al. Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..
[29] Kristin R. Swanson,et al. Dynamics of a model for brain tumors reveals a small window for therapeutic intervention , 2003 .
[30] Guido Gerig,et al. Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.
[31] Karl J. Friston,et al. A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.
[32] Norbert Wiener,et al. Extrapolation, Interpolation, and Smoothing of Stationary Time Series, with Engineering Applications , 1949 .
[33] Peter J. Rousseeuw,et al. Robust regression and outlier detection , 1987 .
[34] I K Fodor,et al. A Survey of Dimension Reduction Techniques , 2002 .
[35] J C Mazziotta,et al. Automated image registration: II. Intersubject validation of linear and nonlinear models. , 1998, Journal of computer assisted tomography.
[36] Djemel Ziou,et al. Edge Detection Techniques-An Overview , 1998 .
[37] J C Ehrhardt,et al. MR data acquisition and reconstruction using efficient sampling schemes. , 1990, IEEE transactions on medical imaging.
[38] C. Goodall. Procrustes methods in the statistical analysis of shape , 1991 .
[39] Tien-Tsin Wong,et al. Volumetric Ultrasound Panorama Based on 3D SIFT , 2008, MICCAI.
[40] Guojun Lu,et al. Review of shape representation and description techniques , 2004, Pattern Recognit..
[41] William H. Press,et al. Numerical recipes in C , 2002 .
[42] Paul M. Thompson,et al. What is where and why it is important , 2007, NeuroImage.
[43] Li Yang,et al. Distance-Preserving Projection of High-Dimensional Data for Nonlinear Dimensionality Reduction , 2004, IEEE Trans. Pattern Anal. Mach. Intell..
[44] Tony F. Chan,et al. Color TV: total variation methods for restoration of vector-valued images , 1998, IEEE Trans. Image Process..
[45] Geoffrey G. Zhang,et al. Intrathoracic tumour motion estimation from CT imaging using the 3D optical flow method. , 2004, Physics in medicine and biology.
[46] Edmund J. Crampin,et al. Computational biology of cardiac myocytes: proposed standards for the physiome , 2007, Journal of Experimental Biology.
[47] Michael I. Miller,et al. Landmark matching via large deformation diffeomorphisms , 2000, IEEE Trans. Image Process..
[48] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[49] N. Papadakis,et al. Minimal gradient encoding for robust estimation of diffusion anisotropy. , 2000, Magnetic resonance imaging.
[50] Arthur W. Toga,et al. A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development The International Consortium for Brain Mapping (ICBM) , 1995, NeuroImage.
[51] M. Brady,et al. Automatic classification of mammographic parenchymal patterns: a statistical approach , 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).
[52] J. Todd. Book Review: Digital image processing (second edition). By R. C. Gonzalez and P. Wintz, Addison-Wesley, 1987. 503 pp. Price: £29.95. (ISBN 0-201-11026-1) , 1988 .
[53] Usha Sinha,et al. In vivo diffusion tensor imaging of human calf muscle , 2002, Journal of magnetic resonance imaging : JMRI.
[54] A. Toga,et al. Detection and mapping of abnormal brain structure with a probabilistic atlas of cortical surfaces. , 1997, Journal of computer assisted tomography.
[55] Joe Y. Chang,et al. Validation of an accelerated ‘demons’ algorithm for deformable image registration in radiation therapy , 2005, Physics in medicine and biology.
[56] Charles A Mistretta,et al. Noise reduction in MR angiography with nonlinear anisotropic filtering , 2004, Journal of magnetic resonance imaging : JMRI.
[57] Norbert Wiener,et al. Extrapolation, Interpolation, and Smoothing of Stationary Time Series , 1964 .
[58] R. Guillevin,et al. Simulation of anisotropic growth of low‐grade gliomas using diffusion tensor imaging , 2005, Magnetic resonance in medicine.
[59] Rafael C. González,et al. Digital image processing, 3rd Edition , 2008 .
[60] Lucila Ohno-Machado,et al. Supratentorial low-grade glioma resectability: statistical predictive analysis based on anatomic MR features and tumor characteristics. , 2006, Radiology.
[61] Hiroshi Motoda,et al. Computational Methods of Feature Selection , 2022 .
[62] Jacob Scharcanski,et al. Adaptive image denoising using scale and space consistency , 2002, IEEE Trans. Image Process..
[63] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[64] Yung-Chang Chen,et al. Ultrasonic Liver Tissues Classification by Fractal Feature Vector Based on M-band Wavelet Transform , 2001, IEEE Trans. Medical Imaging.
[65] Kaleem Siddiqi,et al. Hamilton-Jacobi Skeletons , 2002, International Journal of Computer Vision.
[66] Tony F. Chan,et al. Total Variation Regularization of Matrix-Valued Images , 2007, Int. J. Biomed. Imaging.
[67] Y. Chen,et al. Image registration via level-set motion: Applications to atlas-based segmentation , 2003, Medical Image Anal..
[68] Paul S Mischel,et al. MR imaging correlates of survival in patients with high-grade gliomas. , 2005, AJNR. American journal of neuroradiology.
[69] M. Thelen,et al. Tissue characterization with T1, T2, and proton density values: results in 160 patients with brain tumors. , 1988, Radiology.
[70] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[71] Leonid P. Yaroslavsky,et al. Digital Picture Processing , 1985 .
[72] Karl J. Friston,et al. Correlation between structural and functional changes in brain in an idiopathic headache syndrome , 1999, Nature Medicine.
[73] Eldad Haber,et al. A Multilevel Method for Image Registration , 2005, SIAM J. Sci. Comput..
[74] James H Thrall,et al. Biomarkers in imaging: realizing radiology's future. , 2003, Radiology.
[75] Max A. Viergever,et al. Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.
[76] L A DeWerd,et al. An electron density calibration phantom for CT-based treatment planning computers. , 1992, Medical physics.
[77] Benoit B. Mandelbrot,et al. Fractal Geometry of Nature , 1984 .
[78] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[79] J. Thijssen,et al. Characterization of echographic image texture by cooccurrence matrix parameters. , 1997, Ultrasound in medicine & biology.
[80] K Doi,et al. Investigation of basic imaging properties in digital radiography. I. Modulation transfer function. , 1984, Medical physics.
[81] A. Kalnin,et al. Correlation between the degree of contrast enhancement and the volume of peritumoral edema in meningiomas and malignant gliomas , 1999, Neuroradiology.
[82] Dinggang Shen,et al. Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics , 2008, IEEE Transactions on Medical Imaging.
[83] Eric O. Postma,et al. Dimensionality Reduction: A Comparative Review , 2008 .
[84] M. Berger,et al. The effect of extent of resection on time to tumor progression and survival in patients with glioblastoma multiforme of the cerebral hemisphere. , 1999, Surgical neurology.
[85] Jayaram K. Udupa,et al. New variants of a method of MRI scale standardization , 2000, IEEE Transactions on Medical Imaging.
[86] Karl J. Friston,et al. Incorporating Prior Knowledge into Image Registration , 1997, NeuroImage.
[87] Jan Flusser,et al. Image registration methods: a survey , 2003, Image Vis. Comput..
[88] J. Ashburner,et al. Nonlinear spatial normalization using basis functions , 1999, Human brain mapping.
[89] Siamak Ardekani,et al. Parametric Brain MR Atlases: Standardization for Imaging Informatics , 2004, MedInfo.
[90] S J Zinreich,et al. T2 relaxation measurements in X-linked adrenoleukodystrophy performed using dual-echo fast fluid-attenuated inversion recovery MR imaging. , 2001, AJNR. American journal of neuroradiology.
[91] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[92] J. Mazziotta,et al. Automated image registration , 1993 .
[93] K. Aldape,et al. Identification of noninvasive imaging surrogates for brain tumor gene-expression modules , 2008, Proceedings of the National Academy of Sciences.
[94] Nikolas P. Galatsanos,et al. A similarity learning approach to content-based image retrieval: application to digital mammography , 2004, IEEE Transactions on Medical Imaging.
[95] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[96] I. Johnstone,et al. Ideal spatial adaptation by wavelet shrinkage , 1994 .
[97] Shawn Martin,et al. Estimating manifold dimension by inversion error , 2005, SAC '05.
[98] Siamak Khorram,et al. A feature-based image registration algorithm using improved chain-code representation combined with invariant moments , 1999, IEEE Trans. Geosci. Remote. Sens..
[99] G. Boreman. Modulation Transfer Function , 1998 .
[100] K. Amunts,et al. Towards multimodal atlases of the human brain , 2006, Nature Reviews Neuroscience.
[101] M. Yaffe,et al. Characterisation of mammographic parenchymal pattern by fractal dimension. , 1990, Physics in medicine and biology.
[102] Keinosuke Fukunaga,et al. An Algorithm for Finding Intrinsic Dimensionality of Data , 1971, IEEE Transactions on Computers.
[103] D. Mumford,et al. Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .
[104] Scott T. Grafton,et al. Automated image registration: I. General methods and intrasubject, intramodality validation. , 1998, Journal of computer assisted tomography.
[105] N. Ayache,et al. Multimodal Brain Warping Using the Demons Algorithm and Adaptative Intensity Corrections , 1999 .
[106] Morten Bro-Nielsen,et al. Fast Fluid Registration of Medical Images , 1996, VBC.
[107] L. Bozzao,et al. Supratentorial diffuse astrocytic tumours: proposal of an MRI classification , 1997, European Radiology.
[108] A. Tannenbaum,et al. Despeckling of medical ultrasound images , 2006, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[109] Paul M. Thompson,et al. Mapping the regional influence of genetics on brain structure variability — A Tensor-Based Morphometry study , 2009, NeuroImage.
[110] Song-Chun Zhu,et al. Minimax Entropy Principle and Its Application to Texture Modeling , 1997, Neural Computation.
[111] Milan Sonka,et al. Segmentation and interpretation of MR brain images. An improved active shape model , 1998, IEEE Transactions on Medical Imaging.
[112] Stephen M. Smith,et al. A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..
[113] Michael I. Miller,et al. Deformable templates using large deformation kinematics , 1996, IEEE Trans. Image Process..
[114] Jianbo Shi,et al. Bottom-Up Recognition and Parsing of the Human Body , 2007, EMMCVPR.
[115] Francesco Camastra,et al. Data dimensionality estimation methods: a survey , 2003, Pattern Recognit..
[116] C E Elger,et al. A fast FLAIR dual‐echo technique for hippocampal T2 relaxometry: First experiences in patients with temporal lobe epilepsy , 2001, Journal of magnetic resonance imaging : JMRI.
[117] Arvid Lundervold,et al. Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time , 2003, IEEE Trans. Image Process..
[118] P. Lions,et al. Image selective smoothing and edge detection by nonlinear diffusion. II , 1992 .
[119] R Haux,et al. Medical Imaging Informatics. , 2002, Yearbook of medical informatics.
[120] P. Roland,et al. Comparison of spatial normalization procedures and their impact on functional maps , 2002, Human brain mapping.
[121] Zhengrong Liang,et al. Automatic centerline extraction for virtual colonoscopy , 2002, IEEE Transactions on Medical Imaging.
[122] Raymond Sawaya,et al. Cystic glioblastoma multiforme: survival outcomes in 22 cases. , 2004, Journal of neurosurgery.
[123] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[124] R. C. Murry,et al. Christensen's physics of diagnostic radiology , 1990 .
[125] Fred L. Bookstein,et al. Principal Warps: Thin-Plate Splines and the Decomposition of Deformations , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[126] Jan Sijbers,et al. Maximum-likelihood estimation of Rician distribution parameters , 1998, IEEE Transactions on Medical Imaging.
[127] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[128] J. Talairach,et al. Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .
[129] Jacques A. de Guise,et al. A method for modeling noise in medical images , 2004, IEEE Transactions on Medical Imaging.
[130] T. Makabe,et al. Assessment of the pathological grade of astrocytic gliomas using an MRI score , 1994, Neuroradiology.
[131] Tony F. Chan,et al. Active contours without edges , 2001, IEEE Trans. Image Process..
[132] Anil K. Jain,et al. Texture Segmentation Using Voronoi Polygons , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[133] M J Ackerman,et al. The Visible Human Project , 1998, Proc. IEEE.
[134] P. Hunter,et al. Computational physiology and the physiome project , 2004, Experimental physiology.
[135] D L Hill,et al. Automated three-dimensional registration of magnetic resonance and positron emission tomography brain images by multiresolution optimization of voxel similarity measures. , 1997, Medical physics.
[136] Cleare Hm,et al. An experimental study of the mottle produced by x-ray intensifying screens. , 1962 .
[137] Dirk Roose,et al. Wavelet-based image denoising using a Markov random field a priori model , 1997, IEEE Trans. Image Process..
[138] B M Moores,et al. Noise transfer in screen-film subtraction radiography. , 1985, Physics in medicine and biology.
[139] P. Fox,et al. Spatial normalization origins: Objectives, applications, and alternatives , 1995 .
[140] Thierry Blu,et al. Hexagonal versus orthogonal lattices: a new comparison using approximation theory , 2005, IEEE International Conference on Image Processing 2005.
[141] Shishir Dube. An automated system for quantitative hierarchical image analysis of malignant gliomas: Developing robust techniques for integrated segmentation/classification and prognosis of glioblastoma multiforme , 2009 .
[142] Song-Chun Zhu,et al. Modeling Visual Patterns by Integrating Descriptive and Generative Methods , 2004, International Journal of Computer Vision.
[143] R Deichmann,et al. T1 maps by K-space reduced snapshot-FLASH MRI. , 1992, Journal of computer assisted tomography.
[144] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[145] Guido Gerig,et al. A brain tumor segmentation framework based on outlier detection , 2004, Medical Image Anal..
[146] C R Bird,et al. Gliomas: classification with MR imaging. , 1990, Radiology.
[147] Rebecca A Betensky,et al. Imaging Correlates of Molecular Signatures in Oligodendrogliomas , 2004, Clinical Cancer Research.
[148] Long Zhu,et al. Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing , 2007, NIPS.
[149] John S. Duncan,et al. Shape-based 4D left ventricular myocardial function analysis , 1994, Proceedings of IEEE Workshop on Biomedical Image Analysis.
[150] Arno Klein,et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration , 2009, NeuroImage.
[151] J Hennig,et al. T1 quantification with inversion recovery TrueFISP , 2001, Magnetic resonance in medicine.
[152] Ronald Fedkiw,et al. Level set methods and dynamic implicit surfaces , 2002, Applied mathematical sciences.
[153] H P Chan,et al. Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification. , 1996, Medical physics.
[154] Joachim Dengler,et al. THE DYNAMIC PYRAMID—A MODEL FOR MOTION ANALYSIS WITH CONTROLLED CONTINUITY , 1988 .
[155] Gregory S Karczmar,et al. MRI of the tumor microenvironment , 2002, Journal of magnetic resonance imaging : JMRI.
[156] Rangaraj M. Rangayyan,et al. Automatic identification of the pectoral muscle in mammograms , 2004, IEEE Transactions on Medical Imaging.
[157] José V. Manjón,et al. MRI denoising using Non-Local Means , 2008, Medical Image Anal..
[158] X. Pennec,et al. 3D non-rigid registration by gradient descent on a Gaussian-windowed similarity measure using convolutions , 2000, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737).
[159] Eero P. Simoncelli,et al. A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.
[160] J. Baron,et al. In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease , 2001, NeuroImage.
[161] M. Hasegawa,et al. Airflow limitation and airway dimensions in chronic obstructive pulmonary disease. , 2006, American journal of respiratory and critical care medicine.
[162] B K Rutt,et al. A fast 3D look-locker method for volumetric T1 mapping. , 1999, Magnetic resonance imaging.
[163] Cristian Lorenz,et al. A comprehensive shape model of the heart , 2006, Medical Image Anal..
[164] F. H. Attix. Introduction to Radiological Physics and Radiation Dosimetry , 1991 .
[165] R. Mirimanoff,et al. MGMT gene silencing and benefit from temozolomide in glioblastoma. , 2005, The New England journal of medicine.
[166] Paul A. Yushkevich,et al. Segmentation, registration, and measurement of shape variation via image object shape , 1999, IEEE Transactions on Medical Imaging.
[167] Pierre Hellier,et al. Hierarchical estimation of a dense deformation field for 3-D robust registration , 2001, IEEE Transactions on Medical Imaging.
[168] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[169] Hyeokho Choi,et al. Shift-invariant denoising using wavelet-domain hidden Markov trees , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).
[170] Song-Chun Zhu,et al. Statistical Modeling and Conceptualization of Visual Patterns , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[171] Georgy L. Gimel'farb,et al. Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer , 2009, Pattern Recognit..
[172] Gordon Clapworthy,et al. The virtual physiological human: building a framework for computational biomedicine I. Editorial. , 2008, Philosophical transactions. Series A, Mathematical, physical, and engineering sciences.
[173] Xiangyang Wang,et al. Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma , 2006, Comput. Methods Programs Biomed..
[174] Hooshang Kangarloo,et al. A Customizable MR Brain Imaging Atlas of Structure and Function for Decision Support , 2003, AMIA.
[175] Rangaraj M. Rangayyan,et al. Application of shape analysis to mammographic calcifications , 1994, IEEE Trans. Medical Imaging.
[176] Timothy F. Cootes,et al. Use of active shape models for locating structures in medical images , 1994, Image Vis. Comput..
[177] Jan Modersitzki,et al. Numerical Methods for Image Registration , 2004 .
[178] C A McKenzie,et al. Fast acquisition of quantitative T2 maps , 1999, Magnetic resonance in medicine.
[179] Raymond Sawaya,et al. Prognostic significance of preoperative MRI scans in glioblastoma multiforme , 2004, Journal of Neuro-Oncology.
[180] Geoffrey McLennan,et al. Establishing a normative atlas of the human lung: intersubject warping and registration of volumetric CT images. , 2003, Academic radiology.
[181] Joachim Weickert,et al. Anisotropic diffusion in image processing , 1996 .
[182] Alan C. Evans,et al. Searching scale space for activation in PET images , 1996, Human brain mapping.
[183] Michael F McNitt-Gray,et al. AAPM/RSNA Physics Tutorial for Residents: Topics in CT. Radiation dose in CT. , 2002, Radiographics : a review publication of the Radiological Society of North America, Inc.
[184] Michael Weiner,et al. Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls , 2009, NeuroImage.
[185] Nicholas Ayache,et al. Frequency-Based Nonrigid Motion Analysis: Application to Four Dimensional Medical Images , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[186] Jinah Park,et al. Deformable models with parameter functions for cardiac motion analysis from tagged MRI data , 1996, IEEE Trans. Medical Imaging.
[187] Thomas L Toth,et al. Can noise reduction filters improve low-radiation-dose chest CT images? Pilot study. , 2003, Radiology.
[188] Robert D. Nowak,et al. Wavelet-based Rician noise removal for magnetic resonance imaging , 1999, IEEE Trans. Image Process..
[189] Bram van Ginneken,et al. Automatic detection of red lesions in digital color fundus photographs , 2005, IEEE Transactions on Medical Imaging.
[190] Konstantina S. Nikita,et al. Automatic retinal image registration scheme using global optimization techniques , 1999, IEEE Transactions on Information Technology in Biomedicine.
[191] Stuart Geman,et al. Context and Hierarchy in a Probabilistic Image Model , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[192] G H Glover,et al. Aliasing: A Source of Streaks in Computed Tomograms , 1979, Journal of computer assisted tomography.
[193] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[194] Carol Walker,et al. Histological growth patterns and genotype in oligodendroglial tumours: correlation with MRI features. , 2006, Brain : a journal of neurology.
[195] Long Zhu,et al. A Hierarchical Compositional System for Rapid Object Detection , 2005, NIPS.
[196] Tracy T Batchelor,et al. Magnetic Resonance Imaging Characteristics Predict Epidermal Growth Factor Receptor Amplification Status in Glioblastoma , 2005, Clinical Cancer Research.
[197] J. C. Dainty,et al. Image Science: Principles, Analysis and Evaluation of Photographic-Type Imaging Processes , 1974 .
[198] J. Ioannidis. Why Most Published Research Findings Are False , 2005, PLoS medicine.
[199] Dmitry B. Goldgof,et al. Adaptive-Size Meshes for Rigid and Nonrigid Shape Analysis and Synthesis , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[200] N. Paragios. A level set approach for shape-driven segmentation and tracking of the left ventricle , 2003, IEEE Transactions on Medical Imaging.
[201] Shigeharu Suzuki,et al. Meningiomas with brain edema: radiological characteristics on MRI and review of the literature. , 2002, Clinical imaging.
[202] G. McLachlan. Discriminant Analysis and Statistical Pattern Recognition , 1992 .
[203] Jong-Sen Lee,et al. Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[204] Russell A. Poldrack,et al. In praise of tedious anatomy , 2007, NeuroImage.
[205] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[206] Thomas Martin Deserno,et al. System analysis of x-ray-sensitive CCDs and adaptive restoration of intraoral radiographs , 1996, Medical Imaging.
[207] Alexei A. Efros,et al. Texture synthesis by non-parametric sampling , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[208] John S. Duncan,et al. Pointwise tracking of left-ventricular motion in 3D , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[209] J A Jensen,et al. A model for the propagation and scattering of ultrasound in tissue. , 1991, The Journal of the Acoustical Society of America.
[210] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[211] H K Huang,et al. A fast dual-energy computational method using isotransmission lines and table lookup. , 1987, Medical physics.
[212] Joachim Hornegger,et al. Nonrigid Registration of Joint Histograms for Intensity Standardization in Magnetic Resonance Imaging , 2009, IEEE Transactions on Medical Imaging.
[213] Rangaraj M. Rangayyan,et al. Analysis of asymmetry in mammograms via directional filtering with Gabor wavelets , 2001, IEEE Transactions on Medical Imaging.
[214] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[215] L G Nyúl,et al. Numerical tissue characterization in MS via standardization of the MR image intensity scale , 2000, Journal of magnetic resonance imaging : JMRI.
[216] H Kangarloo,et al. A PACS-based interactive teaching module for radiologic sciences. , 1992, AJR. American journal of roentgenology.
[217] Jacek M. Zurada,et al. An approach to multimodal biomedical image registration utilizing particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.
[218] Jacob Scharcanski,et al. Denoising and enhancing digital mammographic images for visual screening , 2006, Comput. Medical Imaging Graph..
[219] Nixon,et al. Feature Extraction & Image Processing , 2008 .
[220] J. Murray,et al. Quantifying Efficacy of Chemotherapy of Brain Tumors with Homogeneous and Heterogeneous Drug Delivery , 2002, Acta biotheoretica.
[221] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[222] J. Morel,et al. Variational Methods in Image Segmentation: with seven image processing experiments , 1994 .
[223] Robert P. W. Duin,et al. An Evaluation of Intrinsic Dimensionality Estimators , 1995, IEEE Trans. Pattern Anal. Mach. Intell..