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ORCIDMeng Ye 0003
Person information
- affiliation: Rutgers University, Piscataway, NJ, USA
Other persons with the same name
- Meng Ye 0001 — IBM China Research Laboratory, Beijing, China
- Meng Ye 0002
![[0009-0004-9290-2817]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0004-9290-2817")
— SRI International, Princeton, NJ, USA (and 1 more) - Meng Ye 0004 — City University of Hong Kong, Hong Kong
- Meng Ye 0005 — Shanghai Jiaotong University, Department of Mathematics, China
- Meng Ye 0006 — Jiangsu University, School of Computer Science and Telecommunication Engineering, Zhenjiang, China
- Meng Ye 0007 — China Southern Power Grid, Guangzhou Power Supply Bureau, China
- Meng Ye 0008 — Civil Aviation University of China, Tianjin Key Laboratory of Advanced Signal Processing, China
- Meng Ye 0009 — Chinese Academy of Sciences, Institute of Semiconductors, State Key Laboratory for Superlattices and Microstructures, Beijing, China (and 1 more)
- Meng Ye 0010 — Ningbo University, Medical School, Affiliated Hospital, China
- Meng Ye 0011 — China University of Geosciences, School of Automation, Wuhan, China
- Meng Ye 0012 — Sichuan University, China
- Meng Ye 0013 — Southwest University of Science and Technology, Mianyang City, China
- Meng Ye 0014 — Tsinghua University, Department of Physics, Beijing, China
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Journal Articles
- 2023
[j1]Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10409-10426 (2023)
Conference and Workshop Papers
- 2024
- [c9]Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas:
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. WACV 2024: 7629-7639 - 2023
- [c8]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. ICCV 2023: 14190-14200 - [c7]Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. ICCV 2023: 14201-14210 - [c6]Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction. STACOM@MICCAI 2023: 261-273 - 2022
- [c5]Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. MICCAI (4) 2022: 567-577 - 2021
- [c4]Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CVPR 2021: 7261-7271 - [c3]Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging. STACOM@MICCAI 2021: 141-150 - 2020
- [c2]Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding. ECCV Workshops (1) 2020: 298-309 - [c1]Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. M&Ms and EMIDEC/STACOM@MICCAI 2020: 117-126
Informal and Other Publications
- 2023
- [i6]Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. CoRR abs/2307.07693 (2023) - [i5]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. CoRR abs/2309.12594 (2023) - [i4]Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction. CoRR abs/2309.13839 (2023) - 2022
- [i3]Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method. CoRR abs/2206.07163 (2022) - 2021
- [i2]Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CoRR abs/2103.02772 (2021) - 2020
- [i1]Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. CoRR abs/2008.08194 (2020)
Coauthor Index
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