Search Results for author: Yikang Liu

Found 13 papers, 1 papers with code

Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI

no code implementations13 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.

Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI

no code implementations13 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.

Federated Data Model

no code implementations13 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.

Image Segmentation Medical Image Segmentation +1

MELA: Multilingual Evaluation of Linguistic Acceptability

no code implementations15 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.

Code Generation Cross-Lingual Transfer +3

ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models

2 code implementations16 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.

Sentence

An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal

no code implementations6 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.

Super-Resolution

Computationally Efficient 3D MRI Reconstruction with Adaptive MLP

no code implementations21 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.

3D Reconstruction MRI Reconstruction

Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction

no code implementations3 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.

MRI Reconstruction Transfer Learning

JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI

no code implementations22 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.

Deep Statistic Shape Model for Myocardium Segmentation

no code implementations21 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.

Motion Estimation Myocardium Segmentation +1

Robust Landmark-based Stent Tracking in X-ray Fluoroscopy

no code implementations20 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.

Invertible Sharpening Network for MRI Reconstruction Enhancement

no code implementations6 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.

MRI Reconstruction SSIM

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