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Title:

Vision Transformers Enable Fast and Robust Accelerated MRI

Document type:
Konferenzbeitrag
Author(s):
Lin, Kang; Heckel, Reinhard
Abstract:
The Vision Transformer, when trained or pre-trained on datasets consisting of millions of images, gives excellent accuracy for image classification tasks and offers computational savings relative to convolutional neural networks. Motivated by potential accuracy gains and computational savings, we study Vision Transformers for accelerated magnetic resonance image reconstruction. We show that, when trained on the fastMRI dataset, a popular dataset for accelerated MRI only consisting of thousands o...     »
Editor:
Konukoglu, Ender; Menze, Bjoern; Venkataraman, Archana; Baumgartner, Christian; Dou, Qi; Albarqouni, Shadi
Book / Congress title:
Proceedings of The 5th International Conference on Medical Imaging with Deep Learning
Volume:
172
Publisher:
PMLR
Year:
2022
Month:
06--08 Jul
Pages:
774--795
Bookseries title:
Proceedings of Machine Learning Research
WWW:
https://proceedings.mlr.press/v172/lin22a.html
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