Why does synthesized data improve multi-sequence classification?

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Why does synthesized data improve multi-sequence classification? / van Tulder, Gijs; de Bruijne, Marleen.

Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, 2015. p. 531-538 (Lecture notes in computer science, Vol. 9349).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

van Tulder, G & de Bruijne, M 2015, Why does synthesized data improve multi-sequence classification? in Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, Lecture notes in computer science, vol. 9349, pp. 531-538, International Conference on Medical Image Computing and Computer Assisted Intervention 2015, Munich, Germany, 05/10/2015. https://doi.org/10.1007/978-3-319-24553-9_65

APA

van Tulder, G., & de Bruijne, M. (2015). Why does synthesized data improve multi-sequence classification? In Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I (pp. 531-538). Springer. Lecture notes in computer science Vol. 9349 https://doi.org/10.1007/978-3-319-24553-9_65

Vancouver

van Tulder G, de Bruijne M. Why does synthesized data improve multi-sequence classification? In Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer. 2015. p. 531-538. (Lecture notes in computer science, Vol. 9349). https://doi.org/10.1007/978-3-319-24553-9_65

Author

van Tulder, Gijs ; de Bruijne, Marleen. / Why does synthesized data improve multi-sequence classification?. Medical image computing and computer assisted interventions - MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I. Springer, 2015. pp. 531-538 (Lecture notes in computer science, Vol. 9349).

Bibtex

@inproceedings{d5649d6137ae48ffb5d8b10c6405ac4a,

title = "Why does synthesized data improve multi-sequence classification?",

author = "{van Tulder}, Gijs and {de Bruijne}, Marleen",

year = "2015",

doi = "10.1007/978-3-319-24553-9_65",

language = "English",

isbn = "978-3-319-24552-2",

series = "Lecture notes in computer science",

publisher = "Springer",

pages = "531--538",

booktitle = "Medical image computing and computer assisted interventions - MICCAI 2015",

address = "Switzerland",

note = "null ; Conference date: 05-10-2015 Through 09-10-2015",