Search Results for author: Bingyu Xin

Found 4 papers, 3 papers with code

Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction

1 code implementation25 Sep 2023 Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas

Then, we extend the baseline model to a prompt-based learning approach, PromptMR, for all-in-one MRI reconstruction from different views, contrasts, adjacent types, and acceleration factors.

MRI Reconstruction

Learned Half-Quadratic Splitting Network for MR Image Reconstruction

1 code implementation17 Dec 2021 Bingyu Xin, Timothy S. Phan, Leon Axel, Dimitris N. Metaxas

Magnetic Resonance (MR) image reconstruction from highly undersampled $k$-space data is critical in accelerated MR imaging (MRI) techniques.

Image Reconstruction

Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis

1 code implementation2 May 2020 Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao

We use the synthesized modalities by TC-MGAN to boost the tumor segmentation accuracy, and the results demonstrate its effectiveness.

Generative Adversarial Network Image Generation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.