Log in

Relevant bibliographies by topics / Statistical shape modeling / Journal articles

Journal articles on the topic 'Statistical shape modeling'

To see the other types of publications on this topic, follow the link: Statistical shape modeling.

Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Statistical shape modeling.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Huang, 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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Dai, 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.

Full text

Abstract:

Abstract We present a fully-automatic statistical 3D shape modeling approach and apply it to a large dataset of 3D images, the Headspace dataset, thus generating the first public shape-and-texture 3D morphable model (3DMM) of the full human head. Our approach is the first to employ a template that adapts to the dataset subject before dense morphing. This is fully automatic and achieved using 2D facial landmarking, projection to 3D shape, and mesh editing. In dense template morphing, we improve on the well-known Coherent Point Drift algorithm, by incorporating iterative data-sampling and alignment. Our evaluations demonstrate that our method has better performance in correspondence accuracy and modeling ability when compared with other competing algorithms. We propose a texture map refinement scheme to build high quality texture maps and texture model. We present several applications that include the first clinical use of craniofacial 3DMMs in the assessment of different types of surgical intervention applied to a craniosynostosis patient group.

APA, Harvard, Vancouver, ISO, and other styles

4

Harris, 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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Smelkina, 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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Wang, 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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Pishchulin, 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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Hierl, 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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Mendoza, 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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Ramachandran, 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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

COROUGE, I., M. DOJAT, and C. BARILLOT. "Statistical shape modeling of low level visual area borders." Medical Image Analysis 8, no. 3 (September 2004): 353–60. http://dx.doi.org/10.1016/j.media.2004.06.023.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Lindau, Björn, Lars Lindkvist, Alf Andersson, and Rikard Söderberg. "Statistical shape modeling in virtual assembly using PCA-technique." Journal of Manufacturing Systems 32, no. 3 (July 2013): 456–63. http://dx.doi.org/10.1016/j.jmsy.2013.02.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Kalliom�ki, Ilkka, Aki Vehtari, and Jouko Lampinen. "Shape analysis of concrete aggregates for statistical quality modeling." Machine Vision and Applications 16, no. 3 (May 2005): 197–201. http://dx.doi.org/10.1007/s00138-004-0172-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Salhi, Asma, Valerie Burdin, Arnaud Boutillon, Sylvain Brochard, Tinashe Mutsvangwa, and Bhushan Borotikar. "Statistical Shape Modeling Approach to Predict Missing Scapular Bone." Annals of Biomedical Engineering 48, no. 1 (September 11, 2019): 367–79. http://dx.doi.org/10.1007/s10439-019-02354-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Davies, R. H., C. J. Twining, T. F. Cootes, J. C. Waterton, and C. J. Taylor. "A minimum description length approach to statistical shape modeling." IEEE Transactions on Medical Imaging 21, no. 5 (May 2002): 525–37. http://dx.doi.org/10.1109/tmi.2002.1009388.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Su-Lin Lee, E. Tan, V. Khullar, W. Gedroyc, A. Darzi, and Guang-Zhong Yang. "Physical-Based Statistical Shape Modeling of the Levator Ani." IEEE Transactions on Medical Imaging 28, no. 6 (June 2009): 926–36. http://dx.doi.org/10.1109/tmi.2009.2012894.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Humphries, Stephen M., Kendall S. Hunter, Robin Shandas, Robin R. Deterding, and Emily M. DeBoer. "Analysis of pediatric airway morphology using statistical shape modeling." Medical & Biological Engineering & Computing 54, no. 6 (December 31, 2015): 899–911. http://dx.doi.org/10.1007/s11517-015-1445-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Gaffney, Brecca M. M., Travis J. Hillen, Jeffrey J. Nepple, John C. Clohisy, and Michael D. Harris. "Statistical shape modeling of femur shape variability in female patients with hip dysplasia." Journal of Orthopaedic Research 37, no. 3 (February 12, 2019): 665–73. http://dx.doi.org/10.1002/jor.24214.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Schaufelberger, Matthias, Reinald Kühle, Andreas Wachter, Frederic Weichel, Niclas Hagen, Friedemann Ringwald, Urs Eisenmann, et al. "A Radiation-Free Classification Pipeline for Craniosynostosis Using Statistical Shape Modeling." Diagnostics 12, no. 7 (June 21, 2022): 1516. http://dx.doi.org/10.3390/diagnostics12071516.

Full text

Abstract:

Background: Craniosynostosis is a condition caused by the premature fusion of skull sutures, leading to irregular growth patterns of the head. Three-dimensional photogrammetry is a radiation-free alternative to the diagnosis using computed tomography. While statistical shape models have been proposed to quantify head shape, no shape-model-based classification approach has been presented yet. Methods: We present a classification pipeline that enables an automated diagnosis of three types of craniosynostosis. The pipeline is based on a statistical shape model built from photogrammetric surface scans. We made the model and pathology-specific submodels publicly available, making it the first publicly available craniosynostosis-related head model, as well as the first focusing on infants younger than 1.5 years. To the best of our knowledge, we performed the largest classification study for craniosynostosis to date. Results: Our classification approach yields an accuracy of 97.8 %, comparable to other state-of-the-art methods using both computed tomography scans and stereophotogrammetry. Regarding the statistical shape model, we demonstrate that our model performs similar to other statistical shape models of the human head. Conclusion: We present a state-of-the-art shape-model-based classification approach for a radiation-free diagnosis of craniosynostosis. Our publicly available shape model enables the assessment of craniosynostosis on realistic and synthetic data.

APA, Harvard, Vancouver, ISO, and other styles

20

Ng, Bennett K., Louise Marquino, Viva W. Tai, Caitlin Sheets, Kathleen Mulligan, Timothy F. Cootes, and John A. Shepherd. "Statistical appearance modeling of whole-body bone shape and density." Journal of Orthopaedic Translation 2, no. 4 (October 2014): 246–47. http://dx.doi.org/10.1016/j.jot.2014.07.096.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Romaniuk, B., M. Desvignes, M. Revenu, and M. J. Deshayes. "Shape variability and spatial relationships modeling in statistical pattern recognition." Pattern Recognition Letters 25, no. 2 (January 2004): 239–47. http://dx.doi.org/10.1016/j.patrec.2003.10.011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Li, Kang, and Xiaoping Qian. "Direct diffeomorphic reparameterization for correspondence optimization in statistical shape modeling." Computer-Aided Design 64 (July 2015): 33–54. http://dx.doi.org/10.1016/j.cad.2015.02.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Krähenbühl, Nicola, Amy L. Lenz, Rich J. Lisonbee, Andrew C. Peterson, Penny R. Atkins, Beat Hintermann, Charles L. Saltzman, Andrew E. Anderson, and Alexej Barg. "Morphologic analysis of the subtalar joint using statistical shape modeling." Journal of Orthopaedic Research 38, no. 12 (September 7, 2020): 2625–33. http://dx.doi.org/10.1002/jor.24831.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Engstrom, Craig M., Jurgen Fripp, Valer Jurcak, Duncan G. Walker, Olivier Salvado, and Stuart Crozier. "Segmentation of the quadratus lumborum muscle using statistical shape modeling." Journal of Magnetic Resonance Imaging 33, no. 6 (May 17, 2011): 1422–29. http://dx.doi.org/10.1002/jmri.22188.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Hollenbeck, Justin F. M., Christopher M. Cain, Jill A. Fattor, Paul J. Rullkoetter, and Peter J. Laz. "Statistical shape modeling characterizes three-dimensional shape and alignment variability in the lumbar spine." Journal of Biomechanics 69 (March 2018): 146–55. http://dx.doi.org/10.1016/j.jbiomech.2018.01.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Golightly, Y. M., J. L. Stiller, J. Cantrell, J. B. Renner, J. M. Jordan, R. M. Aspden, J. S. Gregory, and A. E. Nelson. "Hip shape by statistical shape modeling is associated with leg length inequality in older adults." Osteoarthritis and Cartilage 23 (April 2015): A58. http://dx.doi.org/10.1016/j.joca.2015.02.122.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Goparaju, Anupama, Krithika Iyer, Alexandre Bône, Nan Hu, Heath B. Henninger, Andrew E. Anderson, Stanley Durrleman, et al. "Benchmarking off-the-shelf statistical shape modeling tools in clinical applications." Medical Image Analysis 76 (February 2022): 102271. http://dx.doi.org/10.1016/j.media.2021.102271.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Nguyen, Tan-Nhu, Vi-Do Tran, Ho-Quang Nguyen, Duc-Phong Nguyen, and Tien-Tuan Dao. "Enhanced head-skull shape learning using statistical modeling and topological features." Medical & Biological Engineering & Computing 60, no. 2 (January 13, 2022): 559–81. http://dx.doi.org/10.1007/s11517-021-02483-y.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Ambellan, Felix, Stefan Zachow, and Christoph von Tycowicz. "Rigid motion invariant statistical shape modeling based on discrete fundamental forms." Medical Image Analysis 73 (October 2021): 102178. http://dx.doi.org/10.1016/j.media.2021.102178.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Suinesiaputra, Avan, Jan Dhooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, et al. "Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge." IEEE Journal of Biomedical and Health Informatics 22, no. 2 (March 2018): 503–15. http://dx.doi.org/10.1109/jbhi.2017.2652449.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Fuessinger, Marc Anton, Steffen Schwarz, Joerg Neubauer, Carl-Peter Cornelius, Mathieu Gass, Philipp Poxleitner, Ruediger Zimmerer, Marc Christian Metzger, and Stefan Schlager. "Virtual reconstruction of bilateral midfacial defects by using statistical shape modeling." Journal of Cranio-Maxillofacial Surgery 47, no. 7 (July 2019): 1054–59. http://dx.doi.org/10.1016/j.jcms.2019.03.027.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Fliss, Barbara, Marcel Luethi, Philipp Fuernstahl, Angi M. Christensen, Ken Sibold, Michael Thali, and Lars C. Ebert. "CT‐based sex estimation on human femora using statistical shape modeling." American Journal of Physical Anthropology 169, no. 2 (March 30, 2019): 279–86. http://dx.doi.org/10.1002/ajpa.23828.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Humphries, Stephen M., Kendall S. Hunter, Robin Shandas, Robin R. Deterding, and Emily M. DeBoer. "Erratum to: Analysis of pediatric airway morphology using statistical shape modeling." Medical & Biological Engineering & Computing 54, no. 6 (January 27, 2016): 913. http://dx.doi.org/10.1007/s11517-016-1451-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Lebed, Evgeny. "Statistical modeling of the assembly of single-layer domes." E3S Web of Conferences 97 (2019): 04004. http://dx.doi.org/10.1051/e3sconf/20199704004.

Full text

Abstract:

A special purpose software SBORKA was developed by the author, which is intended for numerical modeling of the assembly process of single-layer lattice domes with respect to random deviations in lengths of individual bars. The dispersion of the inaccuracies in the sizes of bars is consistent with the normal distribution law, and their values are limited by the tolerances corresponding to 3σ. The assembly of a single-layer dome frame is simulated by sequentially calculating the coordinates of its nodes based on the imitation of the connection in these nodes of individual bars. Imperfections in the lengths of the bars lead to the fact that the actual geometric shape of the dome frame will differ from the design shape. Reliable analysis of the nature of the possible errors of the frames of single-layer lattice domes can only be performed by multiple assembly simulations with subsequent statistical processing of the obtained results. For the implementation of numerical statistical simulation of the assembly, the algorithm of the software includes procedures for solving various spatial problems of computational geometry. Computational procedures implemented in the software for modeling the assembly process are described in this paper.

APA, Harvard, Vancouver, ISO, and other styles

35

Wolf, I., H. P. Meinzer, and T. Heimann. "Automatic Generation of 3D Statistical Shape Models with Optimal Landmark Distributions." Methods of Information in Medicine 46, no. 03 (2007): 275–81. http://dx.doi.org/10.1160/me9043.

Full text

Abstract:

Summary Objectives: To point out the problem of non-uniform landmark placement in statistical shape modeling, to present an improved method for generating landmarks in the 3D case and to propose an unbiased evaluation metric to determine model quality. Methods: Our approach minimizes a cost function based on the minimum description length (MDL) of the shape model to optimize landmark correspondences over the training set. In addition to the standard technique, we employ an extended remeshing method to change the landmark distribution without losing correspondences, thus ensuring a uniform distribution over all training samples. To breakthe dependency of the established evaluation measures generalization and specificity from the landmark distribution, we change the internal metric from landmark distance to volumetric overlap. Results: Redistributing landmarks to an equally spaced distribution during the model construction phase improves the quality of the resulting models significantly if the shapes feature prominent bulges or other complex geometry. Conclusions: The distribution of landmarks on the training shapes is – beyond the correspondence issue – a crucial point in model construction.

APA, Harvard, Vancouver, ISO, and other styles

36

Lee, Su-Lin, Paramate Horkaew, Warren Caspersz, Ara Darzi, and Guang-Zhong Yang. "Assessment of Shape Variation of the Levator Ani With Optimal Scan Planning and Statistical Shape Modeling." Journal of Computer Assisted Tomography 29, no. 2 (March 2005): 154–62. http://dx.doi.org/10.1097/01.rct.0000155076.42784.ed.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Shen, D., E. H. Herskovits, and C. Davatzikos. "An adaptive-focus statistical shape model for segmentation and shape modeling of 3-D brain structures." IEEE Transactions on Medical Imaging 20, no. 4 (April 2001): 257–70. http://dx.doi.org/10.1109/42.921475.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Pennec, X., J. Ehrhardt, N. Ayache, H. Handels, and H. Hufnagel. "Computation of a Probabilistic Statistical Shape Model in a Maximum-a-posteriori Framework." Methods of Information in Medicine 48, no. 04 (2009): 314–19. http://dx.doi.org/10.3414/me9228.

Full text

Abstract:

Summary Objectives: When analyzing shapes and shape variabilities, the first step is bringing those shapes into correspondence. This is a fundamental problem even when solved by manually determining exact correspondences such as landmarks. We developed a method to represent a mean shape and a variability model for a training data set based on probabilistic correspondence computed between the observations. Methods: First, the observations are matched on each other with an affine transformation found by the Expectation-Maximization Iterative-Closest-Points (EM-ICP) registration. We then propose a maximum-a-posteriori (MAP) framework in order to compute the statistical shape model (SSM) parameters which result in an optimal adaptation of the model to the observations. The optimization of the MAP explanation is realized with respect to the observation parameters and the generative model parameters in a global criterion and leads to very efficient and closed-form solutions for (almost) all parameters. Results: We compared our probabilistic SSM to a SSM based on one-to-one correspondences and the PCA (classical SSM). Experiments on synthetic data served to test the performances on non-convex shapes (15 training shapes) which have proved difficult in terms of proper correspondence determination. We then computed the SSMs for real putamen data (21 training shapes). The evaluation was done by measuring the generalization ability as well as the specificity of both SSMs and showed that especially shape detail differences are better modeled by the probabilistic SSM (Hausdorff distance in generalization ability ≈ 25% smaller). Conclusions: The experimental outcome shows the efficiency and advantages of the new approach as the probabilistic SSM performs better in modeling shape details and differences.

APA, Harvard, Vancouver, ISO, and other styles

39

Vrancken, A. C. T., S. P. M. Crijns, M. J. M. Ploegmakers, C. O'Kane, T. G. van Tienen, D. Janssen, P. Buma, and N. Verdonschot. "3D geometry analysis of the medial meniscus - a statistical shape modeling approach." Journal of Anatomy 225, no. 4 (July 23, 2014): 395–402. http://dx.doi.org/10.1111/joa.12223.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Cheng, Longwei, Fugee Tsung, and Andi Wang. "A Statistical Transfer Learning Perspective for Modeling Shape Deviations in Additive Manufacturing." IEEE Robotics and Automation Letters 2, no. 4 (October 2017): 1988–93. http://dx.doi.org/10.1109/lra.2017.2713238.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Zhu, Zuowei, Nabil Anwer, and Luc Mathieu. "Geometric deviation modeling with Statistical Shape Analysis in Design for Additive Manufacturing." Procedia CIRP 84 (2019): 496–501. http://dx.doi.org/10.1016/j.procir.2019.04.251.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Faghih Roohi, Shahrooz, and Reza Aghaeizadeh Zoroofi. "4D statistical shape modeling of the left ventricle in cardiac MR images." International Journal of Computer Assisted Radiology and Surgery 8, no. 3 (August 15, 2012): 335–51. http://dx.doi.org/10.1007/s11548-012-0787-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Sawalha, Z., and T. Sayed. "Traffic accident modeling: some statistical issues." Canadian Journal of Civil Engineering 33, no. 9 (September 1, 2006): 1115–24. http://dx.doi.org/10.1139/l06-056.

Full text

Abstract:

Accident prediction models are invaluable tools that have many applications in road safety analysis. However, there are certain statistical issues related to accident modeling that either deserve further attention or have not been dealt with adequately in the road safety literature. This paper discusses and illustrates how to deal with two statistical issues related to modeling accidents using Poisson and negative binomial regression. The first issue is that of model building or deciding which explanatory variables to include in an accident prediction model. The study differentiates between applications for which it is advisable to avoid model over-fitting and other applications for which it is desirable to fit the model to the data as closely as possible. It then suggests procedures for developing parsimonious models, i.e., models that are not over-fitted, and best-fit models. The second issue discussed in the paper is that of outlier analysis. The study suggests a procedure for the identification and exclusion of extremely influential outliers from the development of Poisson and negative binomial regression models. The procedures suggested for model building and conducting outlier analysis are more straightforward to apply in the case of Poisson regression models because of an added complexity presented by the shape parameter of the negative binomial distribution. The paper, therefore, presents flowcharts detailing the application of the procedures when modeling is carried out using negative binomial regression. The described procedures are then applied in the development of negative binomial accident prediction models for the urban arterials of the cities of Vancouver and Richmond located in the province of British Columbia, Canada. Key words: accident prediction models, overfitting, parsimony, outlier analysis, Poisson regression, negative binomial regression.

APA, Harvard, Vancouver, ISO, and other styles

44

Qiao, Xu, and Yen-Wei Chen. "A Statistical Texture Model of the Liver Based on Generalized N-Dimensional Principal Component Analysis (GND-PCA) and 3D Shape Normalization." International Journal of Biomedical Imaging 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/601672.

Full text

Abstract:

We present a method based on generalized N-dimensional principal component analysis (GND-PCA) and a 3D shape normalization technique for statistical texture modeling of the liver. The 3D shape normalization technique is used for normalizing liver shapes in order to remove the liver shape variability and capture pure texture variations. The GND-PCA is used to overcome overfitting problems when the training samples are too much fewer than the dimension of the data. The preliminary results of leave-one-out experiments show that the statistical texture model of the liver built by our method can represent an untrained liver volume well, even though the mode is trained by fewer samples. We also demonstrate its potential application to classification of normal and abnormal (with tumors) livers.

APA, Harvard, Vancouver, ISO, and other styles

45

Talaat, Mohamed, Xiuhua April Si, Haibo Dong, and Jinxiang Xi. "Leveraging statistical shape modeling in computational respiratory dynamics: Nanomedicine delivery in remodeled airways." Computer Methods and Programs in Biomedicine 204 (June 2021): 106079. http://dx.doi.org/10.1016/j.cmpb.2021.106079.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Litchford, Ron J., and San-Mou Jeng. "Probability density function shape sensitivity in the statistical modeling of turbulent particle dispersion." AIAA Journal 30, no. 10 (October 1992): 2546–49. http://dx.doi.org/10.2514/3.11259.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Smoger, Lowell M., Kevin B. Shelburne, Adam J. Cyr, Paul J. Rullkoetter, and Peter J. Laz. "Statistical shape modeling predicts patellar bone geometry to enable stereo-radiographic kinematic tracking." Journal of Biomechanics 58 (June 2017): 187–94. http://dx.doi.org/10.1016/j.jbiomech.2017.05.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Xi, Jinxiang, Mohamed Talaat, Xiuhua April Si, and Shekhar Chandra. "The application of statistical shape modeling for lung morphology in aerosol inhalation dosimetry." Journal of Aerosol Science 151 (January 2021): 105623. http://dx.doi.org/10.1016/j.jaerosci.2020.105623.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Chan, E. F., C. L. Farnsworth, J. A. Koziol, H. S. Hosalkar, and R. L. Sah. "Statistical shape modeling of proximal femoral shape deformities in Legg–Calvé–Perthes disease and slipped capital femoral epiphysis." Osteoarthritis and Cartilage 21, no. 3 (March 2013): 443–49. http://dx.doi.org/10.1016/j.joca.2012.12.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Rakas, Jasenka, and Huifang Yin. "Statistical Modeling and Analysis of Landing Time Intervals." Transportation Research Record: Journal of the Transportation Research Board 1915, no. 1 (January 2005): 69–78. http://dx.doi.org/10.1177/0361198105191500109.

Full text

Abstract:

Existing literature suggests that analyses of landing time intervals employ simple statistical models based on time-separation histograms, usually approximated by normal distributions. Although the literature focuses on important issues such as safety, capacity improvements, and separation rules, it does not take into account another important issue: the possible, unique behavior of airlines, pilots, and controllers. In this study such possible, unique behavior is taken into account and a statistical analysis on landing time intervals is performed to find the operational properties of Los Angeles International Airport (LAX), California. On the basis of the properties found, operations of a dominant airline at LAX are compared with those of other airlines by using the Performance Data Analysis and Reporting System (PDARS) database. The PDARS database allows the calculation of landing time intervals on a runway level. A new mathematical model is constructed to fit the probability distribution of landing time intervals, and it is found that the proposed model has the best maximum log likelihood estimations compared with those of existing models. The results also reveal that the behavior of the dominant airline differs from that of the other airlines. The proposed model better approximates the shape of the probability distribution, especially the left-hand side, which usually contains information of greater importance regarding airport operations and especially regarding safety, since all smaller landing time intervals and the landing intervals that fail the safety requirements are concentrated in this part of the probability distribution curve.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!