Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

B Egger; MD Schirmer; Florian Dubost; NS Rost; P Golland

doi:10.1007/978-3-030-32251-9_11

Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

B Egger, MD Schirmer, Florian Dubost, NS Rost, P Golland

Research output: Chapter/Conference proceeding › Chapter › Academic

2 Citations (Scopus)

Original language	Undefined/Unknown
Title of host publication	International Conference on Medical Image Computing and Computer-Assisted Intervention : Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
Place of Publication	[S.l.]
Publisher	Springer Nature
Pages	93-101
Number of pages	9
ISBN (Print)	9783030322502
DOIs	https://doi.org/10.1007/978-3-030-32251-9_11
Publication status	Published - 2019

Publication series

Series	Lecture Notes in Computer Science
Volume	11767

Research programs

EMC NIHES-03-30-03

Access to Document

10.1007/978-3-030-32251-9_11

Cite this

Egger, B., Schirmer, MD., Dubost, F., Rost, NS., & Golland, P. (2019). Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. In International Conference on Medical Image Computing and Computer-Assisted Intervention : Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 (pp. 93-101). Springer Nature. https://doi.org/10.1007/978-3-030-32251-9_11

Egger, B ; Schirmer, MD ; Dubost, Florian et al. / Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. International Conference on Medical Image Computing and Computer-Assisted Intervention : Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. [S.l.] : Springer Nature, 2019. pp. 93-101 (Lecture Notes in Computer Science, Vol. 11767).

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Egger, B, Schirmer, MD, Dubost, F, Rost, NS & Golland, P 2019, Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. in International Conference on Medical Image Computing and Computer-Assisted Intervention : Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Springer Nature, [S.l.], Lecture Notes in Computer Science, vol. 11767, pp. 93-101. https://doi.org/10.1007/978-3-030-32251-9_11

Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. / Egger, B; Schirmer, MD; Dubost, Florian et al.
International Conference on Medical Image Computing and Computer-Assisted Intervention : Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. [S.l.]: Springer Nature, 2019. p. 93-101 (Lecture Notes in Computer Science, Vol. 11767).

Research output: Chapter/Conference proceeding › Chapter › Academic

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Egger B, Schirmer MD, Dubost F, Rost NS, Golland P. Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. In International Conference on Medical Image Computing and Computer-Assisted Intervention : Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. [S.l.]: Springer Nature. 2019. p. 93-101. (Lecture Notes in Computer Science, Vol. 11767). doi: 10.1007/978-3-030-32251-9_11