Tor Henrik Semb
Guest researcher, Guest Researcher
Human Stem Cell Biology LaB
Blegdamsvej 3b
2200 København N
Member of:
ORCID: 0000-0002-6747-787X
1 - 1 out of 1Page size: 10
- 2019
- Published
In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning
Waibel, D. J. E., Tiemann, Ulf, Lupperger, V., Semb, Tor Henrik & Marr, C., 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. 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
ID: 35958048
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Reconstructing human pancreatic differentiation by mapping specific cell populations during development
Research output: Contribution to journal › Journal article › Research › peer-review
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15
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Quantifying spatial position in a branched structure in immunostained mouse tissue sections
Research output: Contribution to journal › Journal article › Research › peer-review
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13
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Flow cytometry detection of surface and intracellular antigens in pancreas from a single mouse embryo
Research output: Contribution to journal › Journal article › Research › peer-review
Published