Mustafa Burak Gurbuz, Islem Rekik. Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates. In Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII. Volume 12267 of Lecture Notes in Computer Science, pages 155-165, Springer, 2020. [doi]
@inproceedings{GurbuzR20,
title = {Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates},
author = {Mustafa Burak Gurbuz and Islem Rekik},
year = {2020},
doi = {10.1007/978-3-030-59728-3_16},
url = {https://doi.org/10.1007/978-3-030-59728-3_16},
researchr = {https://researchr.org/publication/GurbuzR20},
cites = {0},
citedby = {0},
pages = {155-165},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII},
editor = {Anne L. Martel and Purang Abolmaesumi and Danail Stoyanov and Diana Mateus and Maria A. Zuluaga and S. Kevin Zhou and Daniel Racoceanu and Leo Joskowicz},
volume = {12267},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-59728-3},
}