no code implementations • 13 Mar 2024 • Xiao Chen, Shunan Zhang, Eric Z. Chen, Yikang Liu, Lin Zhao, Terrence Chen, Shanhui Sun
In artificial intelligence (AI), especially deep learning, data diversity and volume play a pivotal role in model development.
no code implementations • 13 Mar 2024 • Shihan Qiu, Shaoyan Pan, Yikang Liu, Lin Zhao, Jian Xu, Qi Liu, Terrence Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun
Current deep learning reconstruction for accelerated cardiac cine MRI suffers from spatial and temporal blurring.
no code implementations • 13 Mar 2024 • Shihan Qiu, Shaoyan Pan, Yikang Liu, Lin Zhao, Jian Xu, Qi Liu, Terrence Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun
The currently limited quality of accelerated cardiac cine reconstruction may potentially be improved by the emerging diffusion models, but the clinically unacceptable long processing time poses a challenge.
no code implementations • 15 Nov 2023 • Ziyin Zhang, Yikang Liu, Weifang Huang, Junyu Mao, Rui Wang, Hai Hu
Recent benchmarks for Large Language Models (LLMs) have mostly focused on application-driven tasks such as complex reasoning and code generation, and this has led to a scarcity in purely linguistic evaluation of LLMs.
no code implementations • 2 Sep 2023 • Zihao Chen, Xiao Chen, Yikang Liu, Eric Z. Chen, Terrence Chen, Shanhui Sun
Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function.
2 code implementations • 16 Apr 2023 • Yikang Liu, Ziyin Zhang, Wanyang Zhang, Shisen Yue, Xiaojing Zhao, Xinyuan Cheng, Yiwen Zhang, Hai Hu
To address these challenges in English language teaching, we first present ArguGPT, a balanced corpus of 4, 038 argumentative essays generated by 7 GPT models in response to essay prompts from three sources: (1) in-class or homework exercises, (2) TOEFL and (3) GRE writing tasks.
no code implementations • 6 Feb 2023 • Yikang Liu, Eric Z. Chen, Xiao Chen, Terrence Chen, Shanhui Sun
Previous studies tackled these two problems separately, where super resolution methods tend to enhance Gibbs artifacts, whereas Gibbs ringing removal methods tend to blur the images.
no code implementations • 21 Jan 2023 • Eric Z. Chen, Chi Zhang, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun
Recon3DMLP improves HR 3D reconstruction and outperforms several existing CNN-based models under similar GPU memory consumption, which demonstrates that Recon3DMLP is a practical solution for HR 3D MRI reconstruction.
no code implementations • 3 Jan 2023 • Daniel H. Pak, Xiao Chen, Eric Z. Chen, Yikang Liu, Terrence Chen, Shanhui Sun
Deep learning (DL)-based methods have shown promising results for single-slice MR reconstruction, but the addition of SMS acceleration raises unique challenges due to the composite k-space signals and the resulting images with strong inter-slice artifacts.
no code implementations • 22 Oct 2022 • Lin Zhao, Xiao Chen, Eric Z. Chen, Yikang Liu, Dinggang Shen, Terrence Chen, Shanhui Sun
The proposed framework consists of a sampling mask generator for each image contrast and a reconstructor exploiting the inter-contrast correlations with a recurrent structure which enables the information sharing in a holistic way.
no code implementations • 21 Jul 2022 • Xiaoling Hu, Xiao Chen, Yikang Liu, Eric Z. Chen, Terrence Chen, Shanhui Sun
Additionally, the predicted point cloud guarantees boundary correspondence for sequential images, which contributes to the downstream tasks, such as the motion estimation of myocardium.
no code implementations • 20 Jul 2022 • Luojie Huang, Yikang Liu, Li Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun
Even though angioplasty devices are designed to have radiopaque markers for the ease of tracking, current methods struggle to deliver satisfactory results due to the small marker size and complex scenes in angioplasty.
no code implementations • 6 Jun 2022 • Siyuan Dong, Eric Z. Chen, Lin Zhao, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun
During inference, the learned blurring transform can be inverted to a sharpening transform leveraging the network's invertibility.