Meng Ye

Meng Ye

Incoming AP of CSE at UT Arlington

I’m a final year PhD candidate at the Department of Computer Science, Rutgers University. My advisor is Distinguished Professor Dimitris N. Metaxas. I received my BE Degree from North China Electric Power University and ME Degree from Tsinghua University, both in Beijing, China. I also spent three years working in China, including one-year wonderful research assistant experience in the Radiology Department of Peking University Cancer Hospital and Institute. I have a solid technical background in cardiac MRI.

My research interests mainly focus on AI, computer vision, medical image analysis and medical imaging. Current involved research projects are:

  • Computer vision and medical image computing: image segmentation, motion tracking, image registration, image generation, 3D shape modeling and 4D dynamic analysis.
  • Low level computer vision tasks and inverse problems: image reconstruction, denosing, super resolution.
  • MRI pulse sequences.

🔥 PhD Students Recruitment

I am always looking for self-motivated and talent PhD students to work on machine learning, computer vision and AI for healthcare applications. Students with a background in Computer Science, Biomedical Engineering (especially for MRI pulse sequences), Electrical Engineering, Automation, or related fields are welcome to drop me an email with your CV and publications (if any). Please note I may not be able to respond to every message due to limited time. [Flyer] [UTA CSE PhD Admission Requirements]

🔥 News

  • 2025.03:  🎉🎉 I will be an Assistant Professor of Computer Science Engineering Department at The University of Texas at Arlington starting from September 2025.

📝 Publications

[20] Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI.
Meng Ye, Bingyu Xin, Bangwei Guo, Leon Axel, Dimitris N. Metaxas. arXiv preprint, 2025. [Paper] [Project page]

[19] Analysis of Cardiac Dynamic Global Function.
Leon Axel, Mikael Kanski, Amit Jhaveri, Meng Ye, Bangwei Guo, Xiaoxiao He, Dimitris Metaxas. In Functional Imaging and Modeling of the Heart (FIMH), 2025.

[18] VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation.
Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas. In Information Processing in Medical Imaging (IPMI), 2025. [Code]

[17] Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation.
Meng Ye, Bingyu Xin, Leon Axel, Dimitris N. Metaxas. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2025. [Paper] [Project page]

[16] Enhanced Deep Unrolled Models Applied to the CMRxRecon2024 Challenge.
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop STACOM, 2024. (\(\color{red}{Double}\) \(\color{red}{winner}\) \(\color{red}{of}\) \(\color{red}{CMRxRecon2024}\)) [News]

[15] Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction.
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas. In European Conference on Computer Vision (ECCV), 2024. (\({\color{red}{Oral}}\)) [Code]

[14] 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. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2024. [Paper] [Project page]

[13] 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. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop STACOM, 2023. (\(\color{red}{Double}\) \(\color{red}{winner}\) \(\color{red}{of}\) \(\color{red}{CMRxRecon2023}\)) [News] [Code]

[12] 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. In IEEE International Conference on Computer Vision (ICCV), 2023. [Paper] [Project page]

[11] 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. In IEEE International Conference on Computer Vision (ICCV), 2023.

[10] 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. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [Project page]

[9] 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 Metaxas. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.

[8] 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 Metaxas. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop STACOM, 2021.

[7] 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 Metaxas. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (\({\color{red}{Oral}}\)) [Paper] [Code]

[6] Deep Learning-assisted MRI Prediction of Tumor Response to Chemotherapy in Patients with Colorectal Liver Metastases.
Haibin Zhu, Da Xu, Meng Ye, Li Sun, Xiaoyan Zhang, Xiaoting Li, Pei Nie, Baocai Xing, Yingshi Sun. In International Journal of Cancer (IJC), 2021. [Paper]

[5] Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding.
Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas. In European Conference on Computer Vision (ECCV) Workshop BIC, 2020.

[4] 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 Metaxas. In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Workshop STACOM, 2020. [Paper]

[3] Predicting Rectal Cancer Response to Neoadjuvant Chemoradiotherapy Using Deep Learning of Diffusion Kurtosis MRI.
Xiaoyan Zhang, Lin Wang, Haitao Zhu, Zhongwu Li, Meng Ye, Xiaoting Li, Yanjie Shi, Huici Zhu, Yingshi Sun. In Radiology, 2020. [Paper] [Editorial Commentary]

[2] Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning (DL) Method.
Yuhong Qu, Haitao Zhu, Kun Cao, Xiaoting Li, Meng Ye, Yingshi Sun. In Thoracic Cancer, 2020. [Paper]

[1] Feasibility Study of Whole Heart T1 Mapping with SMS in A Single Breath Hold.
Wenbo Sun, Meng Ye, Yuan Zheng, Lele Zhao, Nan Liu, Yanqun Teng, Lan Lan, Jian Xu, Haibo Xu. In Joint Annual Meeting ISMRM-ESMRMB, 2018. [Poster]

🎖 Honors and Awards

  • 2024.10 Double champion of the CMRxRecon2024 challenge [News].
  • 2023.10 Double champion of the CMRxRecon2023 challenge [News].

📖 Educations

  • 2019.09 - 2025.06, Ph.D. Computer Science, Rutgers University, New Brunswick, NJ, USA.
  • 2013.09 - 2016.06, M.E. Biomedical Engineering, Tsinghua University, Beijing, China.
  • 2007.09 - 2011.06, B.E. Nuclear Science and Engineering, North China Electric Power University, Beijing, China.

💬 Invited Talks

  • 2025.02, AI-Driven Correspondence Learning for Dynamic Heart Function Analysis Using MRI. Job talk, UTA.

💻 Experience

  • 2023.06 - 2023.08, Computer Vision Research Intern, UII America, Boston, MA.
  • 2021.06 - 2021.08, Machine Learning Research Intern, Siemens Healthineers, Princeton, NJ.
  • 2018.08 - 2019.07, Research Assistant, Peking University Cancer Hospital and Institute, Beijing, China.
  • 2017.12 - 2018.07, Data Analyst, 12 Sigma Technologies, Shanghai, China.
  • 2016.07 - 2017.11, MRI Pulse Sequence Design and Image Reconstruction Engineer, United Imaging Healthcare, Shanghai, China.