@inproceedings{90ef9a2a196e43d380272c87e8915662,
title = "dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance",
abstract = "AUTOMAP is a promising generalized reconstruction approach, however, it is not scalable and hence the practicality is limited. We present dAUTOMAP, a novel way for decomposing the domain transformation of AUTOMAP, making the model scale linearly. We show dAUTOMAP outperforms AUTOMAP with significantly fewer parameters. ",
keywords = "cs.LG, eess.IV, stat.ML",
author = "Jo Schlemper and Ilkay Oksuz and James Clough and Jinming Duan and King, {Andrew P.} and Schnabel, {Julia A.} and Hajnal, {Joseph V.} and Daniel Rueckert",
year = "2019",
month = apr,
day = "26",
language = "English",
series = "Proceedings of the International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition",
booktitle = "Proceedings of the ISMRM 27th Annual Meeting & Exhibition",
note = "ISMRM 27th Annual meeting & exhibition ; Conference date: 11-05-2019 Through 16-05-2019",
}