Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding. - Pengxiang Wu; Qiaoying Huang; Jingru Yi; Hui Qu; Meng Ye 003; Leon Axel; Dimitris N. Metaxas (ECCV Workshops (1), 2020)

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. - Meng Ye 003; Qiaoying Huang; Dong Yang 005; Pengxiang Wu; Jingru Yi; Leon Axel; Dimitris N. Metaxas (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. - Meng Ye 003; Mikael Kanski; Dong Yang 005; Qi Chang; Zhennan Yan; Qiaoying Huang; Leon Axel; Dimitris N. Metaxas (CVPR, 2021)

An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging. - Qi Chang; Zhennan Yan; Meng Ye 003; Mikael Kanski; Subhi Al'Aref; Leon Axel; Dimitris N. Metaxas (STACOM@MICCAI, 2021)

DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. - Qi Chang; Zhennan Yan; Mu Zhou; Di Liu 003; Khalid Sawalha; Meng Ye 003; Qilong Zhangli; Mikael Kanski; Subhi Al'Aref; Leon Axel; Dimitris N. Metaxas (MICCAI (4), 2022)

DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. - Di Liu 003; Xiang Yu 002; Meng Ye 003; Qilong Zhangli; Zhuowei Li 002; Zhixing Zhang; Dimitris N. Metaxas (ICCV, 2023)

Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. - Meng Ye 003; Dong Yang 005; Mikael Kanski; Leon Axel; Dimitris N. Metaxas (ICCV, 2023)

Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction. - Bingyu Xin; Meng Ye 003; Leon Axel; Dimitris N. Metaxas (STACOM@MICCAI, 2023)

SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. - Meng Ye 003; Dong Yang 005; Qiaoying Huang; Mikael Kanski; Leon Axel; Dimitris N. Metaxas (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction. - Bingyu Xin; Meng Ye 003; Leon Axel; Dimitris N. Metaxas (ECCV (75), 2024)

Enhanced Deep Unrolled Models Applied to the CMRxRecon2024 Challenge. - Bingyu Xin; Meng Ye 003; Leon Axel; Dimitris N. Metaxas (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. - Meng Ye 003; Mikael Kanski; Dong Yang 005; Leon Axel; Dimitris N. Metaxas (WACV, 2024)

Learning Volumetric Neural Deformable Models to Recover 3D Regional Heart Wall Motion from Multi-Planar Tagged MRI. - Meng Ye 003; Bingyu Xin; Bangwei Guo; Leon Axel; Dimitris N. Metaxas (CoRR, 2024)

Analysis of Cardiac Dynamic Global Function. - Leon Axel; Mikael Kanski; Amit Jhaveri; Meng Ye 003; Bangwei Guo; Xiaoxiao He; Dimitris Metaxas (FIMH (2), 2025)

VerSe: Integrating Multiple Queries as Prompts for Versatile Cardiac MRI Segmentation. - Bangwei Guo; Meng Ye 003; Yunhe Gao; Bingyu Xin; Leon Axel; Dimitris N. Metaxas (IPMI (1), 2025)

Rate-My-LoRA: EFFICIENT AND ADAPTIVE FEDERATED MODEL TUNING FOR CARDIAC MRI SEGMENTATION. - Xiaoxiao He; Haizhou Shi; Ligong Han; Chaowei Tan; Bo Liu 005; Zihao Xu 001; Meng Ye 003; Leon Axel; Kang Li 004; Dimitris N. Metaxas (ISBI, 2025)

Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation. - Meng Ye 003; Bingyu Xin; Leon Axel; Dimitris N. Metaxas (WACV, 2025)