Standard
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning. / Waibel, Dominik Jens Elias; Tiemann, Ulf; Lupperger, Valerio; Semb, Henrik; Marr, Carsten.
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. 2019. p. 184-186 Chapter 15 (Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, Vol. 11729).
Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
Harvard
Waibel, DJE
, Tiemann, U, Lupperger, V
, Semb, H & Marr, C 2019,
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning. in
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing., Chapter 15, Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, vol. 11729, pp. 184-186.
https://doi.org/10.1007/978-3-030-30508-6_15APA
Waibel, D. J. E.
, Tiemann, U., Lupperger, V.
, Semb, H., & Marr, C. (2019).
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning. In
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing (pp. 184-186). [Chapter 15] Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing Vol. 11729
https://doi.org/10.1007/978-3-030-30508-6_15Vancouver
Waibel DJE
, Tiemann U, Lupperger V
, Semb H, Marr C.
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning. In Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. 2019. p. 184-186. Chapter 15. (Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, Vol. 11729).
https://doi.org/10.1007/978-3-030-30508-6_15Author
Waibel, Dominik Jens Elias ; Tiemann, Ulf ; Lupperger, Valerio ; Semb, Henrik ; Marr, Carsten. / In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning. Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. 2019. pp. 184-186 (Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, Vol. 11729).
Bibtex
@inbook{8d856d8398c44d25b3f1ea1f1704dff4,
title = "In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning",
author = "Waibel, {Dominik Jens Elias} and Ulf Tiemann and Valerio Lupperger and Henrik Semb and Carsten Marr",
year = "2019",
doi = "10.1007/978-3-030-30508-6_15",
language = "English",
isbn = "978-3-030-30507-9",
series = "Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing",
publisher = "Springer Verlag",
pages = "184--186",
booktitle = "Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing",
}
RIS
TY - CHAP
T1 - In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning
AU - Waibel, Dominik Jens Elias
AU - Tiemann, Ulf
AU - Lupperger, Valerio
AU - Semb, Henrik
AU - Marr, Carsten
PY - 2019
Y1 - 2019
U2 - 10.1007/978-3-030-30508-6_15
DO - 10.1007/978-3-030-30508-6_15
M3 - Book chapter
SN - 978-3-030-30507-9
T3 - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
SP - 184
EP - 186
BT - Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
ER -
