Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn¿s disease segmentation

D Mahapatra; PJ Schüffler; JAW Tielbeek; CAJ Puylaert; JC Makanyanga; A Menys; R Andriantsimiavona; J Stoker; SA Taylor; FM Vos; JM Buhmann

doi:10.1007/978-3-319-14612-6_28

Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn¿s disease segmentation

D Mahapatra, PJ Schüffler, JAW Tielbeek, CAJ Puylaert, JC Makanyanga, A Menys, R Andriantsimiavona, J Stoker, SA Taylor, FM Vos, JM Buhmann

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Abdominal Imaging. Computational and Clinical Applications: Proceedings - 6th International Workshop, ABDI 2014, held in conjunction with MICCAI 2014
Editors	H Yoshida, JJ Näppi, S Saini
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	139-147
Number of pages	9
ISBN (Print)	978-3-319-13691-2
DOIs	https://doi.org/10.1007/978-3-319-14612-6_28
Publication status	Published - 2015
Event	6th International Workshop, ABDI 2014, Cambridge, MA, USA - Cham, Switzerland Duration: 14 Sept 2015 → …

Publication series

Name
Publisher	Springer

Name	Lecture Notes in Computer Science
Volume	8676
ISSN (Print)	0302-9743

Conference

Conference	6th International Workshop, ABDI 2014, Cambridge, MA, USA
Period	14/09/15 → …

Access to Document

10.1007/978-3-319-14612-6_28

Cite this

Mahapatra, D., Schüffler, PJ., Tielbeek, JAW., Puylaert, CAJ., Makanyanga, JC., Menys, A., Andriantsimiavona, R., Stoker, J., Taylor, SA., Vos, FM., & Buhmann, JM. (2015). Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn¿s disease segmentation. In H. Yoshida, JJ. Näppi, & S. Saini (Eds.), Abdominal Imaging. Computational and Clinical Applications: Proceedings - 6th International Workshop, ABDI 2014, held in conjunction with MICCAI 2014 (pp. 139-147). (Lecture Notes in Computer Science; Vol. 8676). Springer. https://doi.org/10.1007/978-3-319-14612-6_28

Mahapatra, D ; Schüffler, PJ ; Tielbeek, JAW et al. / Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn¿s disease segmentation. Abdominal Imaging. Computational and Clinical Applications: Proceedings - 6th International Workshop, ABDI 2014, held in conjunction with MICCAI 2014. editor / H Yoshida ; JJ Näppi ; S Saini. Cham, Switzerland : Springer, 2015. pp. 139-147 (Lecture Notes in Computer Science).

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author = "D Mahapatra and PJ Sch{\"u}ffler and JAW Tielbeek and CAJ Puylaert and JC Makanyanga and A Menys and R Andriantsimiavona and J Stoker and SA Taylor and FM Vos and JM Buhmann",

year = "2015",

doi = "10.1007/978-3-319-14612-6_28",

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editor = "H Yoshida and JJ N{\"a}ppi and S Saini",

booktitle = "Abdominal Imaging. Computational and Clinical Applications: Proceedings - 6th International Workshop, ABDI 2014, held in conjunction with MICCAI 2014",

note = "6th International Workshop, ABDI 2014, Cambridge, MA, USA ; Conference date: 14-09-2015",

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Mahapatra, D, Schüffler, PJ, Tielbeek, JAW, Puylaert, CAJ, Makanyanga, JC, Menys, A, Andriantsimiavona, R, Stoker, J, Taylor, SA, Vos, FM & Buhmann, JM 2015, Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn¿s disease segmentation. in H Yoshida, JJ Näppi & S Saini (eds), Abdominal Imaging. Computational and Clinical Applications: Proceedings - 6th International Workshop, ABDI 2014, held in conjunction with MICCAI 2014. Lecture Notes in Computer Science, vol. 8676, Springer, Cham, Switzerland, pp. 139-147, 6th International Workshop, ABDI 2014, Cambridge, MA, USA, 14/09/15. https://doi.org/10.1007/978-3-319-14612-6_28

Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn¿s disease segmentation. / Mahapatra, D; Schüffler, PJ; Tielbeek, JAW et al.
Abdominal Imaging. Computational and Clinical Applications: Proceedings - 6th International Workshop, ABDI 2014, held in conjunction with MICCAI 2014. ed. / H Yoshida; JJ Näppi; S Saini. Cham, Switzerland: Springer, 2015. p. 139-147 (Lecture Notes in Computer Science; Vol. 8676).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn¿s disease segmentation

AU - Mahapatra, D

AU - Schüffler, PJ

AU - Tielbeek, JAW

AU - Puylaert, CAJ

AU - Makanyanga, JC

AU - Menys, A

AU - Andriantsimiavona, R

AU - Stoker, J

AU - Taylor, SA

AU - Vos, FM

AU - Buhmann, JM

PY - 2015

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DO - 10.1007/978-3-319-14612-6_28

M3 - Conference contribution

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EP - 147

BT - Abdominal Imaging. Computational and Clinical Applications: Proceedings - 6th International Workshop, ABDI 2014, held in conjunction with MICCAI 2014

A2 - Yoshida, H

A2 - Näppi, JJ

A2 - Saini, S

PB - Springer

CY - Cham, Switzerland

T2 - 6th International Workshop, ABDI 2014, Cambridge, MA, USA

Y2 - 14 September 2015

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Mahapatra D, Schüffler PJ, Tielbeek JAW, Puylaert CAJ, Makanyanga JC, Menys A et al. Combining multiple expert annotations using semi-supervised learning and graph cuts for Crohn¿s disease segmentation. In Yoshida H, Näppi JJ, Saini S, editors, Abdominal Imaging. Computational and Clinical Applications: Proceedings - 6th International Workshop, ABDI 2014, held in conjunction with MICCAI 2014. Cham, Switzerland: Springer. 2015. p. 139-147. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-14612-6_28