Paper-Conference

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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CS$^2$: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention
The destitution of image data and corresponding expert annotations limit the training capacities of AI diagnostic models and …
Xiaodan Xing, Jiahao Huang, Yang Nan, Yinzhe Wu, Chengjia Wang, Zhifan Gao, Simon Walsh, Guang Yang
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Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
Fast MRI aims to reconstruct a high fidelity image from partially observed measurements. Exuberant development in fast MRI using deep …
Jiahao Huang, Xiaodan Xing, Zhifan Gao, Guang Yang
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