Ido Cohen, Eli (Omid) David, Nathan S. Netanyahu, Noa Liscovitch, Gal Chechik. DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders. In Alessandra Lintas, Stefano Rovetta, Paul F. M. J. Verschure, Alessandro E. P. Villa, editors, Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II. Volume 10614 of Lecture Notes in Computer Science, pages 287-296, Springer, 2017. [doi]
@inproceedings{CohenDNLC17,
title = {DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders},
author = {Ido Cohen and Eli (Omid) David and Nathan S. Netanyahu and Noa Liscovitch and Gal Chechik},
year = {2017},
doi = {10.1007/978-3-319-68612-7_33},
url = {https://doi.org/10.1007/978-3-319-68612-7_33},
researchr = {https://researchr.org/publication/CohenDNLC17},
cites = {0},
citedby = {0},
pages = {287-296},
booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2017 - 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II},
editor = {Alessandra Lintas and Stefano Rovetta and Paul F. M. J. Verschure and Alessandro E. P. Villa},
volume = {10614},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-68612-7},
}