Magnetic Resonance Imaging

Data- and Physics-driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies
Jiahao Huang, Yinzhe Wu, Fanwen Wang, Yingying Fang, Yang Nan, Cagan Alkan, Daniel Abraham, Congyu Liao, Lei Xu, Zhifan Gao, Weiwen Wu, Lei Zhu, Zhaolin Chen, Peter Lally, Neal Bangerter, Kawin Setsompop, Yike Guo, Daniel Rueckert, Ge Wang, Guang Yang
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Data- and Physics-driven Deep Learning Based Reconstruction for Fast MRI: Fundamentals and Methodologies
Is Attention all You Need in Medical Image Analysis? A Review
Medical imaging is a key component in clinical diagnosis, treatment planning and clinical trial design, accounting for almost 90% of …
Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang
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ViGU: Vision GNN U-Net for fast MRI
Deep learning models have been widely applied for fast MRI. The majority of existing deep learning models, e.g., convolutional neural …
Jiahao Huang, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Guang Yang
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Fast MRI Reconstruction: How Powerful Transformers Are?
Magnetic resonance imaging (MRI) is a widely used non-radiative and non-invasive method for clinical interro-gation of organ structures …
Jiahao Huang, Yinzhe Wu, Huanjun Wu, Guang Yang
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