Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis. - Bingyu Xin; Yifan Hu; Yefeng Zheng 001; Hongen Liao (ISBI, 2020)

Learned Half-Quadratic Splitting Network for Magnetic Resonance Image Reconstruction. - Bingyu Xin; Timothy S. Phan; Leon Axel; Dimitris N. Metaxas (CoRR, 2021)

Learned Half-Quadratic Splitting Network for MR Image Reconstruction. - Bingyu Xin; Timothy S. Phan; Leon Axel; Dimitris N. Metaxas (MIDL, 2022)

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)

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)

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)

Ensemble Learning Improves the Efficiency of Microseismic Signal Classification in Landslide Seismic Monitoring. - Bingyu Xin; Zhiyong Huang; Shijie Huang; Liang Feng (Sensors, 2024)

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)

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

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. - Jun Lyu; Chen Qin; Shuo Wang 011; Fanwen Wang; Yan Li 064; Zi Wang 005; Kunyuan Guo; Ouyang Cheng; Michael Tänzer; Meng Liu; Longyu Sun; Mengting Sun; et al. (Medical Image Anal., 2025)