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Books on the topic 'Biomedical images'

Author: Grafiati
Published: 10 March 2023

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1

Nat-Ali, Amine, and Christine Cavaro-Mnard, eds. Compression of Biomedical Images and Signals. London, UK: ISTE, 2008. http://dx.doi.org/10.1002/9780470611159.

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2

Amine, Nait-Ali, and Cavaro-Menard Christine, eds. Compression of biomedical images and signals. London: ISTE, 2008.

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3

Todman, Alison Grant. Low-level grouping mechanisms for contour completion in biomedical images. Birmingham: University of Birmingham, 1998.

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4

1954-, Edwards Jeanette, Harvey Penelope 1956-, and Wade Peter 1957-, eds. Technologized images, technologized bodies. New York: Berghahn Books, 2010.

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5

Habib, Zaidi, ed. Quantitative analysis of nuclear medicine images. New York: Springer, 2005.

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6

Manfredi, Claudia, ed. Models and Analysis of Vocal Emissions for Biomedical Applications. Florence: Firenze University Press, 2013. http://dx.doi.org/10.36253/978-88-6655-470-7.

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The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.
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7

Manfredi, Claudia, ed. Models and Analysis of Vocal Emissions for Biomedical Applications. Florence: Firenze University Press, 2009. http://dx.doi.org/10.36253/978-88-6453-096-3.

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The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.
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8

Manfredi, Claudia, ed. Models and Analysis of Vocal Emissions for Biomedical Applications. Florence: Firenze University Press, 2011. http://dx.doi.org/10.36253/978-88-6655-011-2.

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The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies.
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9

IEEE Engineering in Medicine and Biology Society. Conference. Images of the twenty-first century: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Seattle, Washington, November 9-12, 1989. New York, NY (345 E. 47th St., New York 10017): Institute of Electrical and Electronic Engineers, 1989.

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10

IEEE Engineering in Medicine and Biology Society. Conference. Images of the twenty-first century: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Seattle, Washington, November 9-12, 1989. New York, N.Y: IEEE, 1989.

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11

Manfredi, Claudia, ed. Models and analysis of vocal emissions for biomedical applications: 5th International Workshop: December 13-15, 2007, Firenze, Italy. Florence: Firenze University Press, 2007. http://dx.doi.org/10.36253/978-88-5518-027-6.

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The MAVEBA Workshop proceedings, held on a biannual basis, collect the scientific papers presented both as oral and poster contributions, during the conference. The main subjects are: development of theoretical and mechanical models as an aid to the study of main phonatory dysfunctions, as well as the biomedical engineering methods for the analysis of voice signals and images, as a support to clinical diagnosis and classification of vocal pathologies. The Workshop has the sponsorship of: Ente Cassa Risparmio di Firenze, COST Action 2103, Biomedical Signal Processing and Control Journal (Elsevier Eds.), IEEE Biomedical Engineering Soc. Special Issues of International Journals have been, and will be, published, collecting selected papers from the conference.
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12

El-Baz, Ayman, Xiaoyi Jiang, and Suri Jasjit, eds. Biomedical Image Segmentation. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.4324/9781315372273.

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13

Fischer, Bernd, Benoît M. Dawant, and Cristian Lorenz, eds. Biomedical Image Registration. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14366-3.

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14

Lim, Joo-Hwee, Sim-Heng Ong, and Wei Xiong, eds. Biomedical Image Understanding. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118715321.

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15

Dawant, Benoît M., Gary E. Christensen, J. Michael Fitzpatrick, and Daniel Rueckert, eds. Biomedical Image Registration. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31340-0.

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16

Pluim, Josien P. W., Boštjan Likar, and Frans A. Gerritsen, eds. Biomedical Image Registration. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11784012.

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17

Špiclin, Žiga, Jamie McClelland, Jan Kybic, and Orcun Goksel, eds. Biomedical Image Registration. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50120-4.

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18

Deserno, Thomas Martin, ed. Biomedical Image Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-15816-2.

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19

Klein, Stefan, Marius Staring, Stanley Durrleman, and Stefan Sommer, eds. Biomedical Image Registration. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92258-4.

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20

Gee, James C., J. B. Antoine Maintz, and Michael W. Vannier, eds. Biomedical Image Registration. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/b11804.

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21

Ourselin, Sébastien, and Marc Modat, eds. Biomedical Image Registration. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08554-8.

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22

Biomedical image analysis. Boca Raton, Fla: CRC Press, 2005.

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23

Biomedical image processing. Heidelberg: Springer, 2011.

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24

Acton, Scott T., and Nilanjan Ray. Biomedical Image Analysis: Segmentation. Cham: Springer International Publishing, 2009. http://dx.doi.org/10.1007/978-3-031-02245-6.

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25

Acton, Scott T., and Nilanjan Ray. Biomedical Image Analysis: Tracking. Cham: Springer International Publishing, 2006. http://dx.doi.org/10.1007/978-3-031-02237-1.

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26

Haidekker, Mark A. Advanced biomedical image analysis. Hoboken, N.J: John Wiley & Sons, 2010.

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27

Najarian, Kayvan. Biomedical Signal and Image Processing. Boca Raton: Taylor & Francis, 2012.

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28

Suri, Jasjit S., David L. Wilson, and Swamy Laxminarayan, eds. Handbook of Biomedical Image Analysis. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/b104805.

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29

Suri, Jasjit S., David L. Wilson, and Swamy Laxminarayan, eds. Handbook of Biomedical Image Analysis. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/b104806.

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30

Suri, Jasjit S., David L. Wilson, and Swamy Laxminarayan, eds. Handbook of Biomedical Image Analysis. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/b104807.

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31

Biomedical signal and image processing. 2nd ed. Boca Raton: Taylor & Francis/CRC Press, 2012.

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32

Kayvan, Najarian, and Splinter Robert, eds. Biomedical signal and image processing. Boca Raton, FL: CRC/Taylor & Francis, 2005.

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33

Rangayyan, Rangaraj M. Color image processing with biomedical applications. Bellingham, Wash: SPIE Press, 2011.

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34

Liu, Yanxi, Tianzi Jiang, and Changshui Zhang, eds. Computer Vision for Biomedical Image Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569541.

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35

Rojas, Ignacio, Daniel Castillo-Secilla, Luis Javier Herrera, and Héctor Pomares, eds. Bioengineering and Biomedical Signal and Image Processing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88163-4.

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36

Reyes-Aldasoro, Constantino Carlos. Biomedical Image Analysis Recipes in MATLAB®. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118657546.

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37

Preston, K. Digital Processing of Biomedical Images. Springer London, Limited, 2012.

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38

Preston, K. Digital Processing of Biomedical Images. Springer, 2012.

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39

Nait-Ali, Amine, Christine Cavaro-Menard, and Christine Cavaro-Menard. Compression of Biomedical Images and Signals. Wiley & Sons, Incorporated, John, 2010.

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40

Nait-Ali, Amine, and Christine Cavaro-Menard. Compression of Biomedical Images and Signals. Wiley & Sons, Incorporated, John, 2013.

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41

Nait-Ali, Amine, and Christine Cavaro-Menard. Compression of Biomedical Images and Signals. Wiley & Sons, Incorporated, John, 2013.

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42

Napolitano, Antonio. Fractal Dimension Estimation Methods for Biomedical Images. INTECH Open Access Publisher, 2012.

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43

Gráfová, Lucie. Edge Detection in Biomedical Images Using Self-Organizing Maps. INTECH Open Access Publisher, 2013.

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44

Zheng, Yuhui, Zexuan Ji, Heye Zhang, and Jonathan Wu, eds. Intelligent Diagnosis with Adversarial Machine Learning in Multimodal Biomedical Brain Images. Frontiers Media SA, 2021. http://dx.doi.org/10.3389/978-2-88971-349-3.

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45

Sklansky, J., and J. C. Bisconte. Biomedical Images and Computers: Selected Papers Presented at the United States-France Seminar on Biomedical Image Processing, St. Pierre de Chartreuse, France, May 27-31 1980. Springer London, Limited, 2013.

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46

Alfano, Robert R., and Lingyan Shi. Deep Imaging in Tissue and Biomedical Materials: Using Linear and Nonlinear Optical Methods. Jenny Stanford Publishing, 2017.

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47

Alfano, Robert R., and Lingyan Shi. Deep Imaging in Tissue and Biomedical Materials: Using Linear and Nonlinear Optical Methods. Jenny Stanford Publishing, 2017.

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48

Alfano, Robert R., and Lingyan Shi. Deep Imaging in Tissue and Biomedical Materials: Using Linear and Nonlinear Optical Methods. Jenny Stanford Publishing, 2017.

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49

Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. AK Peters, 2004.

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50

Rangayyan, Rangaraj M. Biomedical Image Analysis (Biomedical Engineering). CRC, 2004.

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