Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation

Ozan Oktay; Alberto Gomez; Kevin Keraudren; Andreas Schuh; Wenjia Bai; Wenzhe Shi; Graeme Penney; Daniel Rueckert

doi:10.1007/978-3-319-20309-6_26

Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation

Ozan Oktay, Alberto Gomez, Kevin Keraudren, Andreas Schuh, Wenjia Bai, Wenzhe Shi, Graeme Penney, Daniel Rueckert

Biomedical Engineering Department

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

6 Citations (Scopus)

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer‐Verlag Berlin Heidelberg
Pages	223-230
ISBN (Print)	9783319203089
DOIs	https://doi.org/10.1007/978-3-319-20309-6_26
Publication status	Published - 21 Jun 2015

Publication series

Name	Functional Imaging and Modeling of the Heart
Volume	9126
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Access to Document

10.1007/978-3-319-20309-6_26

http://link.springer.com/10.1007/978-3-319-20309-6_26

Cite this

Oktay, O., Gomez, A., Keraudren, K., Schuh, A., Bai, W., Shi, W., Penney, G., & Rueckert, D. (2015). Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 223-230). Article Chapter 26 (Functional Imaging and Modeling of the Heart; Vol. 9126). Springer‐Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-319-20309-6_26

Oktay, Ozan ; Gomez, Alberto ; Keraudren, Kevin et al. / Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer‐Verlag Berlin Heidelberg, 2015. pp. 223-230 (Functional Imaging and Modeling of the Heart).

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title = "Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation",

author = "Ozan Oktay and Alberto Gomez and Kevin Keraudren and Andreas Schuh and Wenjia Bai and Wenzhe Shi and Graeme Penney and Daniel Rueckert",

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Oktay, O, Gomez, A, Keraudren, K, Schuh, A, Bai, W, Shi, W, Penney, G & Rueckert, D 2015, Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)., Chapter 26, Functional Imaging and Modeling of the Heart, vol. 9126, Springer‐Verlag Berlin Heidelberg, pp. 223-230. https://doi.org/10.1007/978-3-319-20309-6_26

Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. / Oktay, Ozan; Gomez, Alberto; Keraudren, Kevin et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer‐Verlag Berlin Heidelberg, 2015. p. 223-230 Chapter 26 (Functional Imaging and Modeling of the Heart; Vol. 9126).

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

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T1 - Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation

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AU - Gomez, Alberto

AU - Keraudren, Kevin

AU - Schuh, Andreas

AU - Bai, Wenjia

AU - Shi, Wenzhe

AU - Penney, Graeme

AU - Rueckert, Daniel

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T3 - Functional Imaging and Modeling of the Heart

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer‐Verlag Berlin Heidelberg

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Oktay O, Gomez A, Keraudren K, Schuh A, Bai W, Shi W et al. Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer‐Verlag Berlin Heidelberg. 2015. p. 223-230. Chapter 26. (Functional Imaging and Modeling of the Heart). doi: 10.1007/978-3-319-20309-6_26