Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander. Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI. Volume 12906 of Lecture Notes in Computer Science, pages 44-54, Springer, 2021. [doi]
@inproceedings{LinZSA21,
title = {Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts},
author = {Hongxiang Lin and Yukun Zhou and Paddy J. Slator and Daniel C. Alexander},
year = {2021},
doi = {10.1007/978-3-030-87231-1_5},
url = {https://doi.org/10.1007/978-3-030-87231-1_5},
researchr = {https://researchr.org/publication/LinZSA21},
cites = {0},
citedby = {0},
pages = {44-54},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI},
editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
volume = {12906},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-87231-1},
}