In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning

Dominik Jens Elias Waibel; Ulf Tiemann; Valerio Lupperger; Henrik Semb; Carsten Marr

doi:10.1007/978-3-030-30508-6_15

In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning

Dominik Jens Elias Waibel, Ulf Tiemann, Valerio Lupperger, Henrik Semb, Carsten Marr

Human Stem Cell Biology LaB

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

2 Citations (Scopus)

Original language	English
Title of host publication	Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
Publication date	2019
Pages	184-186
Article number	Chapter 15
ISBN (Print)	978-3-030-30507-9
DOIs	https://doi.org/10.1007/978-3-030-30508-6_15
Publication status	Published - 2019

Series	Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
Volume	11729
ISSN	0302-9743

Access to Document

10.1007/978-3-030-30508-6_15

http://link.springer.com/10.1007/978-3-030-30508-6_15

Cite this

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_15

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

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_15

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_15

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).

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