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Titel:

Vision Transformers Enable Fast and Robust Accelerated MRI

Dokumenttyp:
Konferenzbeitrag
Autor(en):
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...     »
Herausgeber:
Konukoglu, Ender; Menze, Bjoern; Venkataraman, Archana; Baumgartner, Christian; Dou, Qi; Albarqouni, Shadi
Kongress- / Buchtitel:
Proceedings of The 5th International Conference on Medical Imaging with Deep Learning
Band / Teilband / Volume:
172
Verlag / Institution:
PMLR
Jahr:
2022
Monat:
06--08 Jul
Seiten:
774--795
Serientitel:
Proceedings of Machine Learning Research
WWW:
https://proceedings.mlr.press/v172/lin22a.html
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