Meng Ye

According to our database, Meng Ye authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation.

Meng Ye, Bingyu Xin, Leon Axel, Dimitris N. Metaxas

CoRR, 2024

Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration.

Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction.

Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences.

Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

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

Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging.

Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image.

Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method.

Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging.

Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images.

Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data.

Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding.

Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020