7 citations · 31 across the 19 of their papers we have counts for
19 papers
Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI
Shihan Qiu, Shaoyan Pan, Yikang Liu +7
Current deep learning reconstruction for accelerated cardiac cine MRI suffers from spatial and temporal blurring. We aim to improve image sharpness and motion delineation for cine…
Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
Shihan Qiu, Shaoyan Pan, Yikang Liu +7
The currently limited quality of accelerated cardiac cine reconstruction may potentially be improved by the emerging diffusion models, but the clinically unacceptable long processi…
Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer
Zihao Chen, Xiao Chen, Yikang Liu +3
Cardiac Magnetic Resonance imaging (CMR) is the gold standard for assessing cardiac function. Segmenting the left ventricle (LV), right ventricle (RV), and LV myocardium (MYO) in C…
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal
Yikang Liu, Eric Z. Chen, Xiao Chen +2
The k-space data generated from magnetic resonance imaging (MRI) is only a finite sampling of underlying signals. Therefore, MRI images often suffer from low spatial resolution and…
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction
Daniel H. Pak, Xiao Chen, Eric Z. Chen +3
Dynamic Magnetic Resonance Imaging (dMRI) is widely used to assess various cardiac conditions such as cardiac motion and blood flow. To accelerate MR acquisition, techniques such a…
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP
Eric Z. Chen, Chi Zhang, Xiao Chen +3
Compared with 2D MRI, 3D MRI provides superior volumetric spatial resolution and signal-to-noise ratio. However, it is more challenging to reconstruct 3D MRI images. Current method…
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI
Lin Zhao, Xiao Chen, Eric Z. Chen +4
Multi-contrast Magnetic Resonance Imaging (MRI) generates multiple medical images with rich and complementary information for routine clinical use; however, it suffers from a long…
Deep Statistic Shape Model for Myocardium Segmentation
Xiaoling Hu, Xiao Chen, Yikang Liu +3
Accurate segmentation and motion estimation of myocardium have always been important in clinic field, which essentially contribute to the downstream diagnosis. However, existing me…
Invertible Sharpening Network for MRI Reconstruction Enhancement
Siyuan Dong, Eric Z. Chen, Lin Zhao +4
High-quality MRI reconstruction plays a critical role in clinical applications. Deep learning-based methods have achieved promising results on MRI reconstruction. However, most sta…
Multi-scale Neural ODEs for 3D Medical Image Registration
Junshen Xu, Eric Z. Chen, Xiao Chen +2
Image registration plays an important role in medical image analysis. Conventional optimization based methods provide an accurate estimation due to the iterative process at the cos…
Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning
Eric Z. Chen, Yongquan Ye, Xiao Chen +6
Multi-contrast MRI images provide complementary contrast information about the characteristics of anatomical structures and are commonly used in clinical practice. Recently, a mult…
Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction
Eric Z. Chen, Xiao Chen, Jingyuan Lyu +7
Retrospectively gated cine (retro-cine) MRI is the clinical standard for cardiac functional analysis. Deep learning (DL) based methods have been proposed for the reconstruction of…
GFB-MRF: A parallel spatial and Bloch manifold regularized iterative reconstruction method for MR Fingerprinting
Simon Arberet, Xiao Chen, Boris Mailhe +5
Magnetic Resonance Fingerprinting (MRF) reconstructs tissue maps based on a sequence of very highly undersampled images. In order to be able to perform MRF reconstruction, state-of…
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network
Eric Z. Chen, Xiao Chen, Jingyuan Lyu +4
Real-time cardiac cine MRI does not require ECG gating in the data acquisition and is more useful for patients who can not hold their breaths or have abnormal heart rhythms. Howeve…
Anatomy-Aware Cardiac Motion Estimation
Pingjun Chen, Xiao Chen, Eric Z. Chen +3
Cardiac motion estimation is critical to the assessment of cardiac function. Myocardium feature tracking (FT) can directly estimate cardiac motion from cine MRI, which requires no…
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
Hanchao Yu, Xiao Chen, Humphrey Shi +3
Cardiac motion estimation plays a key role in MRI cardiac feature tracking and function assessment such as myocardium strain. In this paper, we propose Motion Pyramid Networks, a n…
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Hanchao Yu, Shanhui Sun, Haichao Yu +4
Motion estimation of cardiac MRI videos is crucial for the evaluation of human heart anatomy and function. Recent researches show promising results with deep learning-based methods…
Pyramid Convolutional RNN for MRI Image Reconstruction
Eric Z. Chen, Puyang Wang, Xiao Chen +2
Fast and accurate MRI image reconstruction from undersampled data is crucial in clinical practice. Deep learning based reconstruction methods have shown promising advances in recen…
Brain Segmentation from k-space with End-to-end Recurrent Attention Network
Qiaoying Huang, Xiao Chen, Dimitris Metaxas +1
The task of medical image segmentation commonly involves an image reconstruction step to convert acquired raw data to images before any analysis. However, noises, artifacts and los…