Meng Ye

27 papers A* 3A 2Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Analysis of Cardiac Dynamic Global Function.
FIMH (2)
Leon Axel, Mikael Kanski, Amit Jhaveri, Meng Ye, Bangwei Guo, Xiaoxiao He, Dimitris N. Metaxas
2025 A conf
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation.
WACV
Meng Ye, Bingyu Xin, Leon Axel, Dimitris N. Metaxas
2025 J jnl
K-Prism: A Knowledge-Guided and Prompt Integrated Universal Medical Image Segmentation Model.
CoRR
Bangwei Guo, Yunhe Gao, Meng Ye, Difei Gu, Yang Zhou, Leon Axel, Dimitris N. Metaxas
2025 — conf
Rate-My-LoRA: EFFICIENT AND ADAPTIVE FEDERATED MODEL TUNING FOR CARDIAC MRI SEGMENTATION.
ISBI
Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas
2025 J jnl
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation.
CoRR
Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas
2025 — conf
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation.
IPMI (1)
Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas
2024 J jnl
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation.
CoRR
Meng Ye, Bingyu Xin, Leon Axel, Dimitris N. Metaxas
2024 — conf
Enhanced Deep Unrolled Models Applied to the CMRxRecon2024 Challenge.
CMRxRecon/MBAS/STACOM@MICCAI
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas
2024 J jnl
Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI.
CoRR
Meng Ye, Bingyu Xin, Bangwei Guo, Leon Axel, Dimitris N. Metaxas
2024 — conf
Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction.
ECCV (75)
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas
2024 A conf
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration.
WACV
Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas
2024 J jnl
VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation.
CoRR
Bangwei Guo, Meng Ye, Yunhe Gao, Bingyu Xin, Leon Axel, Dimitris N. Metaxas
2023 A* conf
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image.
ICCV
Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas
2023 J jnl
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image.
CoRR
Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas
2023 — conf
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction.
STACOM@MICCAI
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas
2023 J jnl
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction.
CoRR
Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas
2023 A* conf
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging.
ICCV
Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
2023 J jnl
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging.
CoRR
Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
2023 J jnl
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences.
IEEE Trans. Pattern Anal. Mach. Intell.
Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas
2022 J jnl
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via A Structure-Specific Generative Method.
CoRR
Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
2022 — conf
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method.
MICCAI (4)
Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
2021 — conf
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging.
STACOM@MICCAI
Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas
2021 A* conf
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images.
CVPR
Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas
2021 J jnl
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images.
CoRR
Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas
2020 — conf
Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding.
ECCV Workshops (1)
Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas
2020 — conf
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data.
M&Ms and EMIDEC/STACOM@MICCAI
Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas
2020 J jnl
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data.
CoRR
Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas