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",
}
RIS
TY - GEN
T1 - Why does synthesized data improve multi-sequence classification?
AU - van Tulder, Gijs
AU - de Bruijne, Marleen
N1 - Conference code: 18
PY - 2015
Y1 - 2015
U2 - 10.1007/978-3-319-24553-9_65
DO - 10.1007/978-3-319-24553-9_65
M3 - Article in proceedings
SN - 978-3-319-24552-2
T3 - Lecture notes in computer science
SP - 531
EP - 538
BT - Medical image computing and computer assisted interventions - MICCAI 2015
PB - Springer
Y2 - 5 October 2015 through 9 October 2015
ER -