Factorised spatial representation learning: application in semi-supervised myocardial segmentation.

Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Scott Semple; Michelle Williams; David Newby; Rohan Dharmakumar; Sotirios Tsaftaris

doi:10.1007/978-3-030-00934-2_55

Factorised spatial representation learning: application in semi-supervised myocardial segmentation.

Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle Williams, David Newby, Rohan Dharmakumar, Sotirios Tsaftaris

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Original language	English
Title of host publication	International Conference on Medical Image Computing and Computer-Assisted Intervention
ISBN (Electronic)	978-3-030-00934-2
DOIs	https://doi.org/10.1007/978-3-030-00934-2_55
Publication status	Published - 26 Sept 2018

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
ISSN (Print)	0302-9743

Access to Document

10.1007/978-3-030-00934-2_55

Cite this

Chartsias, A., Joyce, T., Papanastasiou, G., Semple, S., Williams, M., Newby, D., Dharmakumar, R., & Tsaftaris, S. (2018). Factorised spatial representation learning: application in semi-supervised myocardial segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-030-00934-2_55

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Chartsias, A, Joyce, T, Papanastasiou, G, Semple, S , Williams, M , Newby, D, Dharmakumar, R & Tsaftaris, S 2018, Factorised spatial representation learning: application in semi-supervised myocardial segmentation. in International Conference on Medical Image Computing and Computer-Assisted Intervention . Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-00934-2_55

Factorised spatial representation learning: application in semi-supervised myocardial segmentation. / Chartsias, Agisilaos; Joyce, Thomas; Papanastasiou, Giorgos et al.
International Conference on Medical Image Computing and Computer-Assisted Intervention . 2018. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Factorised spatial representation learning: application in semi-supervised myocardial segmentation.

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AU - Joyce, Thomas

AU - Papanastasiou, Giorgos

AU - Semple, Scott

AU - Williams, Michelle

AU - Newby, David

AU - Dharmakumar, Rohan

AU - Tsaftaris, Sotirios

PY - 2018/9/26

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DO - 10.1007/978-3-030-00934-2_55

M3 - Chapter (peer-reviewed)

SN - 978-3-030-00933-5

T3 - Lecture Notes in Computer Science

BT - International Conference on Medical Image Computing and Computer-Assisted Intervention

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