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Hongyan Liu

Generalizable synthetic MRI with physics-informed convolutional networks

May 21, 2023
Luuk Jacobs, Stefano Mandija, Hongyan Liu, Cornelis A. T. van den Berg, Alessandro Sbrizzi, Matteo Maspero

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* 23 pages, 7 figures, 1 table. Presented at ISMRM 2022. Will be submitted to NMR in biomedicine

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Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation

Feb 28, 2023
Guoqiang Sun, Yibin Shen, Sijin Zhou, Xiang Chen, Hongyan Liu, Chunming Wu, Chenyi Lei, Xianhui Wei, Fei Fang

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* 9 pages, 3 figures, accepted by AAAI 2023

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FuRPE: Learning Full-body Reconstruction from Part Experts

Nov 30, 2022
Zhaoxin Fan, Yuqing Pan, Hao Xu, Zhenbo Song, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He

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* 13 pages, 7 figures, 6 tables

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Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC within 3 minutes

May 04, 2022
Hongyan Liu, Oscar van der Heide, Stefano Mandija, Cornelis A. T. van den Berg, Alessandro Sbrizzi

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* 12 pages, 7 figures, accepted by IEEE Transactions on Medical Imaging (in press)

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Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image

Apr 04, 2022
Zhaoxin Fan, Zhenbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He

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* 19 pages, 7 figures, 4 tables

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