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Статті в журналах з теми "Statistical shape modeling"
Choi, Myung Hwan, Bon Yeol Koo, Je Wook Chae, and Jay Jung Kim. "Parametric Shape Modeling of Femurs Using Statistical Shape Analysis." Transactions of the Korean Society of Mechanical Engineers A 38, no. 10 (October 1, 2014): 1139–45. http://dx.doi.org/10.3795/ksme-a.2014.38.10.1139.
Повний текст джерелаHuang, Yichen, Dale L. Robinson, Jonathan Pitocchi, Peter Vee Sin Lee, and David C. Ackland. "Glenohumeral joint reconstruction using statistical shape modeling." Biomechanics and Modeling in Mechanobiology 21, no. 1 (November 27, 2021): 249–59. http://dx.doi.org/10.1007/s10237-021-01533-6.
Повний текст джерелаDai, Hang, Nick Pears, William Smith, and Christian Duncan. "Statistical Modeling of Craniofacial Shape and Texture." International Journal of Computer Vision 128, no. 2 (November 9, 2019): 547–71. http://dx.doi.org/10.1007/s11263-019-01260-7.
Повний текст джерелаHarris, Michael D., Manasi Datar, Ross T. Whitaker, Elizabeth R. Jurrus, Christopher L. Peters, and Andrew E. Anderson. "Statistical shape modeling of cam femoroacetabular impingement." Journal of Orthopaedic Research 31, no. 10 (July 7, 2013): 1620–26. http://dx.doi.org/10.1002/jor.22389.
Повний текст джерелаSmelkina, N. A., R. N. Kosarev, A. V. Nikonorov, I. M. Bairikov, K. N. Ryabov, A. V. Avdeev, and N. L. Kazanskiy. "RECONSTRUCTION OF ANATOMICAL STRUCTURES USING STATISTICAL SHAPE MODELING." Computer Optics 41, no. 6 (January 1, 2017): 897–904. http://dx.doi.org/10.18287/2412-6179-2017-41-6-897-904.
Повний текст джерелаWang, Xiaokan. "Statistical shape analysis for face movement manifold modeling." Optical Engineering 51, no. 3 (March 29, 2012): 037004. http://dx.doi.org/10.1117/1.oe.51.3.037004.
Повний текст джерелаPishchulin, Leonid, Stefanie Wuhrer, Thomas Helten, Christian Theobalt, and Bernt Schiele. "Building statistical shape spaces for 3D human modeling." Pattern Recognition 67 (July 2017): 276–86. http://dx.doi.org/10.1016/j.patcog.2017.02.018.
Повний текст джерелаHierl, Thomas, Hans-Martin Doerfler, Heike Huempfner-Hierl, and Daniel Kruber. "Evaluation of the Midface by Statistical Shape Modeling." Journal of Oral and Maxillofacial Surgery 79, no. 1 (January 2021): 202.e1–202.e6. http://dx.doi.org/10.1016/j.joms.2020.08.034.
Повний текст джерелаMendoza, Carlos S., Nabile Safdar, Kazunori Okada, Emmarie Myers, Gary F. Rogers, and Marius George Linguraru. "Personalized assessment of craniosynostosis via statistical shape modeling." Medical Image Analysis 18, no. 4 (May 2014): 635–46. http://dx.doi.org/10.1016/j.media.2014.02.008.
Повний текст джерелаRamachandran, Srinivas, Feng Ding, Kevin M. Weeks, and Nikolay V. Dokholyan. "Statistical Analysis of SHAPE-Directed RNA Secondary Structure Modeling." Biochemistry 52, no. 4 (January 14, 2013): 596–99. http://dx.doi.org/10.1021/bi300756s.
Повний текст джерелаДисертації з теми "Statistical shape modeling"
Besbes, Ahmed. "Image segmentation using MRFs and statistical shape modeling." Phd thesis, Ecole Centrale Paris, 2010. http://tel.archives-ouvertes.fr/tel-00594246.
Повний текст джерелаLamecker, Hans. "Variational and statistical shape modeling for 3D geometry reconstruction." München Verl. Dr. Hut, 2008. http://d-nb.info/992163226/04.
Повний текст джерелаLamecker, Hans [Verfasser]. "Variational and statistical shape modeling for 3D geometry reconstruction / Hans Lamecker." Berlin : Freie Universität Berlin, 2008. http://d-nb.info/1023329603/34.
Повний текст джерелаSalhi, Asma. "Towards a combined statistical shape and musculoskeletal modeling framework for pediatric shoulder joint." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2019. http://www.theses.fr/2019IMTA0137/document.
Повний текст джерелаObstetrician Brachial Plexus Palsy (OBPP) is a common birth injury in children leading to shoulder joint deformity and abnormal function. While the management of OBPP disorder focuses on restoring the shoulder joint function, the underlying pathomechanics is not clearly understood yet. Computational models are effective to provide such insights, however, there is no pediatric shoulder joint model to understand the OBPP disorder. Thus, the global aim of this research work was to build a computational framework combining the advances in statistical shape modeling (SSM) and multi-body musculoskeletal modeling (MSKM) domains. Due to a lack of sufficient data in the pediatric cohort, I first developed the framework for adult shoulder joint. For this, I illustrated the accuracy of SSM in predicting 1) missing part of the scapula, and 2) muscle insertion regions on scapula and humerus bones. This method was then integrated with adult shoulder MSKMs to show the differences between generic and subject specific constructs. For the second aim of this thesis, I developed a pediatric MSKM of the shoulder joint complex using OpenSim software. Pediatric MSKM represented scapulothoracic, sternoclavicular, acromioclavicular, and glenohumeral joints with 13 degrees of freedom, and actuated by 52 musculotendon actuators representing 14 shoulder muscles. Using inverse kinematics and inverse dynamics approaches, the model was used to determine the differences in joint kinematics, and joint dynamics between healthy and unhealthy side of a single OBPP subject. Future work is focused on completing the framework on pediatric population and understanding the pathomechanics of OBPP
Patenaude, Brian Matthew. "Bayesian statistical models of shape and appearance for subcortical brain segmentation." Thesis, University of Oxford, 2007. http://ora.ox.ac.uk/objects/uuid:52f5fee0-60e8-4387-9560-728843e187b3.
Повний текст джерелаLópez, Picazo Mirella. "3D subject-specific shape and density modeling of the lumbar spine from 2D DXA images for osteoporosis assessment." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/666513.
Повний текст джерелаLa osteoporosis es la enfermedad ósea más común, con una morbilidad y mortalidad significativas causadas por el aumento de la fragilidad ósea y la susceptibilidad a las fracturas. La absorciometría de rayos X de energía dual (DXA, por sus siglas en inglés) es la técnica de referencia para la evaluación de la osteoporosis y del riesgo de fracturas en la columna vertebral. Sin embargo, el análisis estándar de las imágenes DXA solo proporciona mediciones 2D y no diferencia entre los compartimentos óseos; tampoco evalúa la densidad ósea en el cuerpo vertebral, que es donde se producen la mayoría de las fracturas osteoporóticas. La tomografía computarizada cuantitativa (QCT, por sus siglas en inglés) es una técnica alternativa que supera las limitaciones del diagnóstico basado en DXA. Sin embargo, debido al alto costo y la dosis de radiación, la QCT no se usa para el diagnóstico de la osteoporosis. En esta tesis, se propone un método que proporciona una estimación personalizada de la forma 3D y la densidad de la columna vertebral en la zona lumbar a partir de una única imagen DXA anteroposterior. El método se basa en un modelo estadístico 3D de forma y densidad creado a partir de un conjunto de entrenamiento de exploraciones QCT. La estimación 3D personalizada de forma y densidad se obtiene al registrar y ajustar el modelo estadístico con la imagen DXA. Se segmentan los compartimentos óseos corticales y trabeculares utilizando un algoritmo basado en modelos. Se realizan mediciones 3D en diferentes regiones vertebrales y compartimentos óseos. La precisión de los métodos propuestos se evalúa comparando las mediciones 3D derivadas de DXA con las derivadas de QCT. También se realizan dos estudios de casos y controles: un estudio retrospectivo que evalúa la capacidad de las mediciones 3D derivadas de DXA en la columna lumbar para discriminar entre sujetos con fracturas vertebrales relacionadas con la osteoporosis y sujetos control; y un estudio que evalúa la asociación entre las mediciones 3D derivadas de DXA en la columna lumbar y las fracturas de cadera relacionadas con la osteoporosis. En ambos estudios, se encuentran asociaciones más fuertes entre las fracturas relacionadas con la osteoporosis y las mediciones 3D derivadas de DXA en comparación con las mediciones estándar 2D. La tecnología desarrollada dentro de esta tesis ofrece un análisis en 3D de la columna lumbar, que podría mejorar la evaluación de la osteoporosis y el riesgo de fractura en pacientes que se sometieron a una exploración DXA estándar de la columna lumbar sin ningún examen adicional.
Hoogendoorn, Corné. "A statistical dynamic cardiac atlas for the virtual physiological human: construction and application." Doctoral thesis, Universitat Pompeu Fabra, 2014. http://hdl.handle.net/10803/132632.
Повний текст джерелаEsta tesis está centrada en la construcción de un atlas cardiaco, para servir como marco común de referencia en el Virtual Physiological Human (VPH). La construcción consiste en la trayectoria completa, empezando con un conjunto de imágenes 3D+t de tomografía computacional multi-corte, y entonces hacer una normalización espacial de las imágenes, segmentación de la imagen promedio sintetizada, un mallado multi-estructura, y finalmente la transformación de la malla a la población de imágenes. Adicionalmente, la tesis presenta dos aplicaciones del atlas. Primero, el atlas se usa para enmarcar un modelo espacio-temporal de la morfología cardiaca que modela la variación a lo largo de ambos 'ejes' simultáneamente. Tal propuesta debe ser preferible sobre otros m\'etodos existentes, los cuales desacoplan las dos fuentes de variación para modelarlas separadamente, en isolación. Segundo, el atlas está aplicado al desarrollo de una técnica de aceleración para simulaciones personalizadas de electrofisiología (EF) cardiaca. El conocimiento previo encapsulado en nuestro atlas se usa, en conjunto con un solver de EF cardiaca, para construir un modelo estadístico conectando morfología cardiaca con los steady states de modelos celulares del miocardio que precondicionan a simulaciones detalladas de EF cardiaca. Esta aplicación posiciona el propuesto atlas dinámico cardiaco en el contexto de simulaciones relacionadas al VPH, cuyo costo computacional actual está en gran exceso de lo aceptable para su adopción en la práctica clínica de hoy en día.
Su, Z. "Statistical shape modelling : automatic shape model building." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1213097/.
Повний текст джерелаZhu, Zuowei. "Modèles géométriques avec defauts pour la fabrication additive." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLN021/document.
Повний текст джерелаThe intricate error sources within different stages of the Additive Manufacturing (AM) process have brought about major issues regarding the dimensional and geometrical accuracy of the manufactured product. Therefore, effective modeling of the geometric deviations is critical for AM. The Skin Model Shapes (SMS) paradigm offers a comprehensive framework aiming at addressing the deviation modeling problem at different stages of product lifecycle, and is thus a promising solution for deviation modeling in AM. In this thesis, considering the layer-wise characteristic of AM, a new SMS framework is proposed which characterizes the deviations in AM with in-plane and out-of-plane perspectives. The modeling of in-plane deviation aims at capturing the variability of the 2D shape of each layer. A shape transformation perspective is proposed which maps the variational effects of deviation sources into affine transformations of the nominal shape. With this assumption, a parametric deviation model is established based on the Polar Coordinate System which manages to capture deviation patterns regardless of the shape complexity. This model is further enhanced with a statistical learning capability to simultaneously learn from deviation data of multiple shapes and improve the performance on all shapes.Out-of-plane deviation is defined as the deformation of layer in the build direction. A layer-level investigation of out-of-plane deviation is conducted with a data-driven method. Based on the deviation data collected from a number of Finite Element simulations, two modal analysis methods, Discrete Cosine Transform (DCT) and Statistical Shape Analysis (SSA), are adopted to identify the most significant deviation modes in the layer-wise data. The effect of part and process parameters on the identified modes is further characterized with a Gaussian Process (GP) model. The discussed methods are finally used to obtain high-fidelity SMSs of AM products by deforming the nominal layer contours with predicted deviations and rebuilding the complete non-ideal surface model from the deformed contours. A toolbox is developed in the MATLAB environment to demonstrate the effectiveness of the proposed methods
Golalizadeh, Lehi Mousa. "Statistical modelling and inference for shape diffusions." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435446.
Повний текст джерелаКниги з теми "Statistical shape modeling"
service), SpringerLink (Online, ed. First Principles Modelling of Shape Memory Alloys: Molecular Dynamics Simulations. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Знайти повний текст джерела(Editor), Hamid Krim, and Jr Anthony Yezzi (Editor), eds. Statistics and Analysis of Shapes (Modeling and Simulation in Science, Engineering and Technology). Birkhäuser Boston, 2006.
Знайти повний текст джерелаGreen, Peter, Kanti Mardia, Vysaul Nyirongo, and Yann Ruffieux. Bayesian modelling for matching and alignment of biomolecules. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.2.
Повний текст джерелаKastner, Oliver. First Principles Modelling of Shape Memory Alloys: Molecular Dynamics Simulations. Springer, 2012.
Знайти повний текст джерелаKastner, Oliver. First Principles Modelling of Shape Memory Alloys: Molecular Dynamics Simulations. Springer Berlin / Heidelberg, 2014.
Знайти повний текст джерелаLight, Ryan, and James Moody, eds. The Oxford Handbook of Social Networks. Oxford University Press, 2020. http://dx.doi.org/10.1093/oxfordhb/9780190251765.001.0001.
Повний текст джерелаAspden, Richard, and Jenny Gregory. Morphology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0011.
Повний текст джерелаHaig, Brian D. Exploratory Data Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190222055.003.0002.
Повний текст джерелаKnepper, Paul, and Anja Johansen. Introduction. Edited by Paul Knepper and Anja Johansen. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199352333.013.43.
Повний текст джерелаЧастини книг з теми "Statistical shape modeling"
Srivastava, Anuj, and Eric P. Klassen. "Statistical Modeling on Nonlinear Manifolds." In Functional and Shape Data Analysis, 233–67. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_7.
Повний текст джерелаSrivastava, Anuj, and Eric P. Klassen. "Statistical Modeling of Functional Data." In Functional and Shape Data Analysis, 269–303. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_8.
Повний текст джерелаSrivastava, Anuj, and Eric P. Klassen. "Statistical Modeling of Planar Shapes." In Functional and Shape Data Analysis, 305–47. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4020-2_9.
Повний текст джерелаPohl, Kilian M., Simon K. Warfield, Ron Kikinis, W. Eric L. Grimson, and William M. Wells. "Coupling Statistical Segmentation and PCA Shape Modeling." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 151–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30135-6_19.
Повний текст джерелаYang, Yuhui, Anthony Bull, Daniel Rueckert, and Adam Hill. "3D Statistical Shape Modeling of Long Bones." In Biomedical Image Registration, 306–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11784012_37.
Повний текст джерелаMa, Jingting, Feng Lin, Jonas Honsdorf, Katharina Lentzen, Stefan Wesarg, and Marius Erdt. "Weighted Robust PCA for Statistical Shape Modeling." In Lecture Notes in Computer Science, 343–53. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43775-0_31.
Повний текст джерелаTaghizadeh, Elham, Alexandre Terrier, Fabio Becce, Alain Farron, and Philippe Büchler. "Segmenting Bones Using Statistical Shape Modeling and Local Template Matching." In Shape in Medical Imaging, 189–94. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04747-4_18.
Повний текст джерелаFrangi, A. F., D. Rueckert, J. A. Schnabel, and W. J. Niessen. "Automatic Construction of Biventricular Statistical Shape Models." In Functional Imaging and Modeling of the Heart, 18–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44883-7_3.
Повний текст джерелаHufnagel, Heike. "Current Methods in Statistical Shape Analysis." In A Probabilistic Framework for Point-Based Shape Modeling in Medical Image Analysis, 7–25. Wiesbaden: Vieweg+Teubner Verlag, 2011. http://dx.doi.org/10.1007/978-3-8348-8600-2_2.
Повний текст джерелаBhalodia, Riddhish, Shireen Y. Elhabian, Ladislav Kavan, and Ross T. Whitaker. "DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images." In Shape in Medical Imaging, 244–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04747-4_23.
Повний текст джерелаТези доповідей конференцій з теми "Statistical shape modeling"
Velasco-Forero, Santiago, and Jesus Angulo. "Statistical Shape Modeling Using Morphological Representations." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.863.
Повний текст джерелаVaswani, N., A. R. Chowdhury, and R. Chellappa. "Statistical shape theory for activity modeling." In 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698). IEEE, 2003. http://dx.doi.org/10.1109/icme.2003.1221278.
Повний текст джерела"FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS." In Special Session on Shape Analysis and Deformable Modeling. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003867503510359.
Повний текст джерела"A STATISTICAL APPROACH TO BUILD 3D PROTOTYPES FROM A 3D ANTHROPOMETRIC SURVEY OF THE SPANISH FEMALE POPULATION." In Special Session on Shape Analysis and Deformable Modeling. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003876803700374.
Повний текст джерелаLi, Kang, Xiaoping Qian, and Alejandro A. Espinoza Orías. "Efficient Construction of Statistical Shape Models for Patient-Specific Modeling." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16113.
Повний текст джерелаHollenbeck, Justin F. M., Paul J. Rullkoetter, Christopher Cain, Clare K. Fitzpatrick, and Peter J. Laz. "Statistical Shape and Alignment Modeling of the Lumbar Spine." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14337.
Повний текст джерелаZewail, Rami, Ahmed Elsafi, and Nelson Durdle. "Wavelet-Based Independent Component Analysis For Statistical Shape Modeling." In 2007 Canadian Conference on Electrical and Computer Engineering. IEEE, 2007. http://dx.doi.org/10.1109/ccece.2007.299.
Повний текст джерелаPalmer, Robert Ieuan, Xianghua Xie, and Gary Tam. "Finding complete 3D vertex correspondence for statistical shape modeling." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7319001.
Повний текст джерелаDalal, Pahal, Brent C. Munsell, Song Wang, Jijun Tang, Kenton Oliver, Hiroaki Ninomiya, Xiangrong Zhou, and Hiroshi Fujita. "A Fast 3D Correspondence Method for Statistical Shape Modeling." In CVPR '07. IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 2007. http://dx.doi.org/10.1109/cvpr.2007.383143.
Повний текст джерелаDalal, Pahal, Lili Ju, Michael McLaughlin, Xiangrong Zhou, Hiroshi Fujita, and Song Wang. "3D open-surface shape correspondence for statistical shape modeling: Identifying topologically consistent landmarks." In 2009 IEEE 12th International Conference on Computer Vision (ICCV). IEEE, 2009. http://dx.doi.org/10.1109/iccv.2009.5459412.
Повний текст джерела