Automated Evaluation of Three Dimensional Ultrasonic Datasets
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[1] Gabriele Moser,et al. SAR amplitude probability density function estimation based on a generalized Gaussian model , 2006, IEEE Transactions on Image Processing.
[2] N. Mahmood,et al. Comparison between Median, Unsharp and Wiener filter and its effect on ultrasound stomach tissue image segmentation for Pyloric Stenosis , 2011 .
[3] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[4] Moni Naor,et al. Image Analysis and Recognition , 2016, Lecture Notes in Computer Science.
[5] Michael Kröning,et al. Real-Time Quantitative Ultrasonic Inspection , 2007 .
[6] Lorenzo Bruzzone,et al. An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images , 1996, Pattern Recognit. Lett..
[7] E. Stacy. A Generalization of the Gamma Distribution , 1962 .
[8] George A. Tsihrintzis,et al. UWB radar detection of targets in foliage using alpha-stable clutter models , 1999 .
[9] Charles Kervrann,et al. Unsupervised Patch-Based Image Regularization and Representation , 2006, ECCV.
[10] Amar Mitiche,et al. Multiregion level-set partitioning of synthetic aperture radar images , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Petia Radeva,et al. Intravascular Ultrasound Images Vessel Characterization Using AdaBoost , 2003, FIMH.
[12] Y. Shoef,et al. Reducing the influence of human factos on the reliability of manual ultrasonic weld inspection , 1995 .
[13] Xiaorong Gao,et al. A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing , 1999, IEEE Transactions on Medical Imaging.
[14] R. D. Pierce. RCS characterization using the alpha-stable distribution , 1996, Proceedings of the 1996 IEEE National Radar Conference.
[15] J A Noble,et al. Ultrasound image segmentation and tissue characterization , 2010, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.
[16] Christian Boller,et al. Ultrasonic Sampling Phased Array Testing as a Replacement for X-ray Testing of Weld Joints in Ship Construction , 2012 .
[17] A. Kurtz,et al. The importance of ultrasonic side-lobe artifacts. , 1982, Radiology.
[18] C. Lamberti,et al. Maximum likelihood segmentation with Rayleigh distribution of ultrasound images , 2004, Computers in Cardiology, 2004.
[19] Ioannis Pitas,et al. Segmentation of ultrasonic images using Support Vector Machines , 2003, Pattern Recognit. Lett..
[20] Jean Meunier,et al. Intravascular ultrasound image segmentation: a three-dimensional fast-marching method based on gray level distributions , 2006, IEEE Transactions on Medical Imaging.
[21] Martin D. Fox,et al. Ultrasound image enhancement: A review , 2012, Biomed. Signal Process. Control..
[22] Henri Maître,et al. A new statistical model for Markovian classification of urban areas in high-resolution SAR images , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[23] Heng-Chao Li,et al. On the Empirical-Statistical Modeling of SAR Images With Generalized Gamma Distribution , 2011, IEEE Journal of Selected Topics in Signal Processing.
[24] Philippe Smets,et al. Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem , 1993, Int. J. Approx. Reason..
[25] F. Lingvall,et al. Time-domain Reconstruction Methods for Ultrasonic Array Imaging : A Statistical Approach , 2004 .
[26] Dinggang Shen,et al. Segmentation of prostate boundaries from ultrasound images using statistical shape model , 2003, IEEE Transactions on Medical Imaging.
[27] René Marklein,et al. Numerical modeling of elastic wave propagation and scattering with EFIT — elastodynamic finite integration technique , 1995 .
[28] B. Frieden,et al. Laser speckle and related phenomena , 1984, IEEE Journal of Quantum Electronics.
[29] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[30] J. Sethian,et al. FRONTS PROPAGATING WITH CURVATURE DEPENDENT SPEED: ALGORITHMS BASED ON HAMILTON-JACOB1 FORMULATIONS , 2003 .
[31] C.P. Loizou,et al. Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery , 2005, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[32] Gerard van Burken,et al. Automatic active appearance model segmentation of 3D echocardiograms , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[33] M. Xie,et al. Preliminary clinical study of left ventricular myocardial strain in patients with non-ischemic dilated cardiomyopathy by three-dimensional speckle tracking imaging , 2012, Cardiovascular Ultrasound.
[34] Philippe Smets,et al. The Canonical Decomposition of a Weighted Belief , 1995, IJCAI.
[35] Josiane Zerubia,et al. Modeling SAR images with a generalization of the Rayleigh distribution , 2004, IEEE Transactions on Image Processing.
[36] Fabrizio Argenti,et al. Speckle Suppression in Ultrasonic Images Based on Undecimated Wavelets , 2003, EURASIP J. Adv. Signal Process..
[37] Torbjørn Eltoft. A new model for the amplitude statistics of SAR imagery , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).
[38] Scott T. Acton,et al. Speckle reducing anisotropic diffusion , 2002, IEEE Trans. Image Process..
[39] J. P. Ruina,et al. Some Early Developments in Synthetic Aperture Radar Systems , 1962, IRE Transactions on Military Electronics.
[40] Xiaoping Yang,et al. A fast algorithm for global minimization of maximum likelihood based on ultrasound image segmentation , 2011 .
[41] A. Bulavinov,et al. Quantitative Non-destructive Evaluation of CFRP Components by Sampling Phased Array , 2011 .
[42] D. Datta,et al. Application of Statistical Pattern Recognizing Classifiers in Identifying Defects in FRP Composites , 2006 .
[43] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[44] Xin Yang,et al. Total Variation-Based Speckle Reduction Using Multi-grid Algorithm for Ultrasound Images , 2005, ICIAP.
[45] M. Srinivasan,et al. Statistics of envelope of high-frequency ultrasonic backscatter from human skin in vivo , 2002, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[46] C. Burckhardt. Speckle in ultrasound B-mode scans , 1978, IEEE Transactions on Sonics and Ultrasonics.
[47] Ralph B. D'Agostino,et al. Goodness-of-Fit-Techniques , 2020 .
[48] Kent A. Spackman,et al. Signal Detection Theory: Valuable Tools for Evaluating Inductive Learning , 1989, ML.
[49] John W. Clark,et al. Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images , 2006, IEEE Transactions on Medical Imaging.
[50] Carla Agurto,et al. A 3D Freehand Ultrasound System for Multi-view Reconstructions from Sparse 2D Scanning Planes , 2011, Biomedical engineering online.
[51] P. Zinin,et al. Mechanical Properties of Single Cells by High-Frequency Time-Resolved Acoustic Microscopy , 2007, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[52] Jan Baan,et al. Image processing techniques for ultrasonic inspection , 2008 .
[53] Yongmin Kim,et al. Parametric shape modeling using deformable superellipses for prostate segmentation , 2004, IEEE Transactions on Medical Imaging.
[54] Santiago Aja-Fernández,et al. On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering , 2006, IEEE Transactions on Image Processing.
[55] Alain Dussauchoy,et al. Parameter estimation of the generalized gamma distribution , 2008, Math. Comput. Simul..
[56] N. Devillard,et al. Fast Median Search: An ANSI C Implementation , 1998 .
[57] Torbjørn Eltoft,et al. Modeling the amplitude statistics of ultrasonic images , 2006, IEEE Transactions on Medical Imaging.
[58] S. Katyal,et al. US artifacts. , 2009, Radiographics : a review publication of the Radiological Society of North America, Inc.
[59] Douglas L. Jones,et al. Ultrasound speckle reduction by directional median filtering , 1995, Proceedings., International Conference on Image Processing.
[60] P. Yger,et al. An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images , 2007 .
[61] David G. Stork,et al. Pattern classification, 2nd Edition , 2000 .
[62] Jøger Hansegård,et al. Semi-automated quantification of left ventricular volumes and ejection fraction by real-time three-dimensional echocardiography , 2009, Cardiovascular ultrasound.
[63] Scott T. Acton,et al. A stochastic approach to ultrasound despeckling , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..
[64] J. Greenleaf,et al. Ultrasound echo envelope analysis using a homodyned K distribution signal model. , 1994, Ultrasonic imaging.
[65] T. Denœux. Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence , 2008 .
[66] Henry Horng-Shing Lu,et al. A textural approach based on Gabor functions for texture edge detection in ultrasound images. , 2001, Ultrasound in medicine & biology.
[67] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[68] L. Zadeh. Fuzzy sets as a basis for a theory of possibility , 1999 .
[69] F. Kremkau,et al. Artifacts in ultrasound imaging. , 1986, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.
[70] Steven R. Doctor,et al. SAFT — the evolution of a signal processing technology for ultrasonic testing , 1986 .
[71] Jacek M. Zurada,et al. Classification and estimation of ultrasound speckle noise with neural networks , 2000, Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering.
[72] Sheng Xu,et al. Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation , 2010, IEEE Transactions on Biomedical Engineering.
[73] Heinrich Niemann,et al. Klassifikation von Mustern , 1983 .
[74] P. Mohana Shankar,et al. A general statistical model for ultrasonic backscattering from tissues , 2000, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[75] Pierrick Coupé,et al. Nonlocal Means-Based Speckle Filtering for Ultrasound Images , 2009, IEEE Transactions on Image Processing.
[76] Arthur P. Dempster,et al. Upper and Lower Probabilities Induced by a Multivalued Mapping , 1967, Classic Works of the Dempster-Shafer Theory of Belief Functions.
[77] Andrew F. Laine,et al. Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing , 1998, IEEE Transactions on Medical Imaging.
[78] Marios S. Pattichis,et al. A Review of Noninvasive Ultrasound Image Processing Methods in the Analysis of Carotid Plaque Morphology for the Assessment of Stroke Risk , 2010, IEEE Transactions on Information Technology in Biomedicine.
[79] E. Jakeman,et al. Generalized K distribution: a statistical model for weak scattering , 1987 .
[80] Santiago Aja-Fernández,et al. On the influence of interpolation on probabilistic models for ultrasonic images , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[81] Thierry Denoeux,et al. Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence , 2008, Artif. Intell..
[82] S.S. Udpa,et al. Frequency invariant classification of ultrasonic weld inspection signals , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[83] Stephen W. Smith,et al. Beam Steering with Linear Arrays , 1983, IEEE Transactions on Biomedical Engineering.
[84] Sheng Xu,et al. Adaptively Learning Local Shape Statistics for Prostate Segmentation in Ultrasound , 2011, IEEE Transactions on Biomedical Engineering.
[85] S. Mallat. A wavelet tour of signal processing , 1998 .
[86] 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.
[87] Shi-Chang Wooh,et al. Optimum beam steering of linear phased arrays , 1999 .
[88] T. Loupas,et al. An adaptive weighted median filter for speckle suppression in medical ultrasonic images , 1989 .
[89] C. Wiley. Synthetic Aperture Radars , 1985, IEEE Transactions on Aerospace and Electronic Systems.
[90] Ulf Hassler,et al. APPLICATION OF DATA FUSION THEORY AND SUPPORT VECTOR MACHINE TO X-RAY CASTINGS INSPECTION , 2010 .
[91] R. Challis,et al. AUTOMATED NON-DESTRUCTIVE ANALYSIS AND ADVANCED 3 D DEFECT CHARACTERISATION FROM ULTRASONIC SCANS OF COMPOSITES , 2009 .
[92] Jean Meunier,et al. Segmentation in Ultrasonic B-Mode Images of Healthy Carotid Arteries Using Mixtures of Nakagami Distributions and Stochastic Optimization , 2009, IEEE Transactions on Medical Imaging.
[93] K. M. Reddy,et al. Sampling phased array: a new technique for signal processing and ultrasonic imaging , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[94] Joachim Hornegger,et al. An automated data processing method dedicated to 3D ultrasonic non destructive testing of composite pieces , 2011 .
[95] Philippe Smets,et al. The Combination of Evidence in the Transferable Belief Model , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[96] Ingrid Daubechies,et al. Ten Lectures on Wavelets , 1992 .
[97] Ulf Hassler,et al. Automatic classification of 3D segmented CT data using data fusion and support vector machine , 2011, International Conference on Quality Control by Artificial Vision.
[98] Pierrick Coupé,et al. Real time ultrasound image denoising , 2011, Journal of Real-Time Image Processing.
[99] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[100] Luke S. Lee,et al. Methods for Detecting Defects in Composite Rehabilitated Concrete Structures , 2005 .
[101] C. Daft,et al. 5F-3 A Matrix Transducer Design with Improved Image Quality and Acquisition Rate , 2007, 2007 IEEE Ultrasonics Symposium Proceedings.
[102] David Atkinson,et al. 3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis based on Multiple Acoustic Windows , 2002, IEEE Trans. Medical Imaging.
[103] Johan M. Thijssen,et al. Ultrasonic speckle formation, analysis and processing applied to tissue characterization , 2003, Pattern Recognit. Lett..
[104] Rama Chellappa,et al. Adaptive target detection in foliage-penetrating SAR images using alpha-stable models , 1999, IEEE Trans. Image Process..
[105] Asoke K. Nandi,et al. Generalized gamma density-based score functions for fast and flexible ICA , 2007, Signal Process..
[106] S. Akselrod,et al. A lognormal approximation for the gray level statistics in ultrasound images , 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).
[107] Hemant D. Tagare,et al. Evaluation of Four Probability Distribution Models for Speckle in Clinical Cardiac Ultrasound Images , 2006, IEEE Transactions on Medical Imaging.
[108] J M Thijssen,et al. Texture of B-mode echograms: 3-D simulations and experiments of the effects of diffraction and scatterer density. , 1985, Ultrasonic imaging.
[109] Tong Fang,et al. Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[110] Gozde Bozdagi Akar,et al. An adaptive speckle suppression filter for medical ultrasonic imaging , 1995, IEEE Trans. Medical Imaging.
[111] W. Szajnowski. Estimators of Log-Normal Distribution Parameters , 1977, IEEE Transactions on Aerospace and Electronic Systems.
[112] J. Alison Noble,et al. Ultrasound image segmentation: a survey , 2006, IEEE Transactions on Medical Imaging.
[113] Alistair McNab,et al. Towards automated interpretation of ultrasonic NDT data , 1999 .
[114] Attila Nemes,et al. Side‐by‐Side Viewing of Anatomically Aligned Left Ventricular Segments in Three‐Dimensional Stress Echocardiography , 2009, Echocardiography.
[115] I. Miller. Probability, Random Variables, and Stochastic Processes , 1966 .
[116] Josiane Zerubia,et al. Skewed alpha-stable distributions for modelling textures , 2003, Pattern Recognit. Lett..
[117] Nico Karssemeijer,et al. Ultrasonics, Ferroelectrics, and Frequency Control , 2011 .
[118] Livia Kapusta,et al. Modeling envelope statistics of blood and myocardium for segmentation of echocardiographic images. , 2008, Ultrasound in medicine & biology.
[119] T. Varghese,et al. Acoustic backscatter and effective scatterer size estimates using a 2D CMUT transducer , 2008, Physics in medicine and biology.
[120] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[121] Graham M. Treece,et al. Engineering a freehand 3D ultrasound system , 2003, Pattern Recognit. Lett..
[122] Olivier Germain,et al. Edge location in SAR images: performance of the likelihood ratio filter and accuracy improvement with an active contour approach , 2001, IEEE Trans. Image Process..
[123] Dinggang Shen,et al. Optimized prostate biopsy via a statistical atlas of cancer spatial distribution , 2004, Medical Image Anal..
[124] G. Lampropoulos,et al. High resolution radar clutter statistics , 1999 .
[125] J. V. Hatfield,et al. An integrated array transducer receiver for ultrasound imaging , 1995 .
[126] Guy Gilboa,et al. Nonlocal Linear Image Regularization and Supervised Segmentation , 2007, Multiscale Model. Simul..
[127] Ulf Hassler,et al. Improvement of X-ray castings inspection reliability by using Dempster-Shafer data fusion theory , 2011, Pattern Recognit. Lett..
[128] D. Nicholas,et al. EVALUATION OF BACKSCATTERING COEFFICIENTS FOR EXCISED HUMAN TISSUES: RESULTS, INTERPRETATION AND ASSOCIATED MEASUREMENTS , 1982 .
[129] Michael S. Eldred,et al. Epistemic Uncertainty in the Calculation of Margins , 2009 .
[130] H. Torp,et al. 3-D speckle tracking for assessment of regional left ventricular function. , 2009, Ultrasound in medicine & biology.
[131] Yuxuan Wang,et al. Completely automated segmentation approach for breast ultrasound images using multiple-domain features. , 2012, Ultrasound in medicine & biology.
[132] A. Fenster,et al. 3-D ultrasound imaging: a review , 1996 .
[133] Carl-Fredrik Westin,et al. Speckle-constrained filtering of ultrasound images , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[134] B. Goldberg,et al. Classification of breast masses in ultrasonic B scans using Nakagami and K distributions , 2003, Physics in medicine and biology.
[135] Ruey-Feng Chang,et al. Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks. , 2002, Ultrasound in medicine & biology.
[136] Ulf Hassler,et al. Interest of data fusion for improvement of classification in X-ray inspection , 2011 .
[137] Carl-Fredrik Westin,et al. Oriented Speckle Reducing Anisotropic Diffusion , 2007, IEEE Transactions on Image Processing.
[138] Pierrick Coupé,et al. Fast Non Local Means Denoising for 3D MR Images , 2006, MICCAI.
[139] Oleg V. Michailovich,et al. Robust estimation of ultrasound pulses using outlier-resistant de-noising , 2003, IEEE Transactions on Medical Imaging.
[140] S. F. George. THE DETECTION OF NONFLUCTUATING TARGETS IN LOG-NORMAL CLUTTER , 1968 .
[141] Svetoslav Ivanov Nikolov,et al. Synthetic aperture tissue and flow ultrasound imaging , 2002 .
[142] Waleed Al-Nuaimy,et al. Combining fuzzy logic and neural networks in classification of weld defects using ultrasonic time-of-flight diffraction , 2007 .
[143] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[144] J. Somer. Electronic sector scanning for ultrasonic diagnosis. , 1968, Ultrasonics.
[145] P. Dupont,et al. Imaging Artifacts of Medical Instruments in Ultrasound‐Guided Interventions , 2007, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.
[146] Gabriele Moser,et al. On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation , 2013, IEEE Transactions on Image Processing.
[147] Thierry Denoeux,et al. Partially supervised Independent Factor Analysis using soft labels elicited from multiple experts: application to railway track circuit diagnosis , 2012, Soft Comput..
[148] Qi Duan,et al. P2A-9 Analysis of 4D Ultrasound for Dynamic Measures of Cardiac Function , 2007, 2007 IEEE Ultrasonics Symposium Proceedings.
[149] W. Al-Nuaimy. AUTOMATIC CLASSIFICATION OF DEFECTS IN TIME-OF-FLIGHT-DIFFRACTION DATA , 2004 .
[150] U. Hassler,et al. A New System for Fully Automatic Inspection of Digital Flat-panel Detector Radiographs of Aluminium Castings , 2022 .
[151] Echo envelope analysis method for quantifying heterogeneity of scatterer distribution for tissue characterization of liver fibrosis , 2010, 2010 IEEE International Ultrasonics Symposium.
[152] Michael Brady,et al. Segmentation of ultrasound B-mode images with intensity inhomogeneity correction , 2002, IEEE Transactions on Medical Imaging.
[153] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[154] P. Shankar. Ultrasonic tissue characterization using a generalized Nakagami model , 2001, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.
[155] Eberhard Brunner,et al. Ultrasound System Considerations and their Impact on Front-End Components , 2002 .
[156] Radislav Smid,et al. Classification of ultrasonic signals , 2006 .
[157] Xianglong Tang,et al. Probability density difference-based active contour for ultrasound image segmentation , 2010, Pattern Recognit..
[158] J. Dainty. Laser speckle and related phenomena , 1975 .
[159] Carlos Correia,et al. Classification of Real Flaws Using Ultrasonic Signals , 2007 .
[160] M. N. Shanmukha Swamy,et al. Despeckling of medical ultrasound images using data and rate adaptive lossy compression , 2005, IEEE Transactions on Medical Imaging.
[161] René Marklein,et al. Three-dimensional imaging system based on Fourier transform synthetic aperture focusing technique , 1990 .
[162] Guillermo Sapiro,et al. Fast image and video denoising via nonlocal means of similar neighborhoods , 2005, IEEE Signal Processing Letters.
[163] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[164] Frédéric Galland,et al. Minimum description length synthetic aperture radar image segmentation , 2003, IEEE Trans. Image Process..
[165] P. Shankar,et al. Ultrasound speckle analysis based on the K distribution. , 1991, The Journal of the Acoustical Society of America.
[166] L. J. Busse,et al. The SAFT-UT technology evolution , 1985 .
[167] W S Ng,et al. Automatic prostate boundary recognition in sonographic images using feature model and genetic algorithm. , 2000, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.
[168] Ian McConnell,et al. Optimum edge detection in SAR , 1995, Remote Sensing.
[169] C. Oliver. Optimum texture estimators for SAR clutter , 1993 .
[170] Victor S. Frost,et al. A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[171] Nassir Navab,et al. Ultrasonic image analysis and image-guided interventions , 2011, Interface Focus.
[172] Antonio Nanni,et al. FRP Composites for Reinforced and Prestressed Concrete Structures: A Guide to Fundamentals and Design for Repair and Retrofit , 2008 .
[173] Frits Mastik,et al. Fully automatic luminal contour segmentation in intracoronary ultrasound imaging-a statistical approach , 2004, IEEE Transactions on Medical Imaging.
[174] Jun Xie,et al. Segmentation of kidney from ultrasound images based on texture and shape priors , 2005, IEEE Transactions on Medical Imaging.
[175] J. Goodman. Some fundamental properties of speckle , 1976 .
[176] Joachim Hornegger,et al. Quantification of Thyroid Volume Using 3-D Ultrasound Imaging , 2008, IEEE Transactions on Medical Imaging.
[177] T. Nelson,et al. Three-dimensional ultrasound imaging. , 1998, Ultrasound in medicine & biology.
[178] Lalita Udpa,et al. Neural networks for ultrasonic detection of intergranular stress corrosion cracking , 2000 .