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Cheng Li

Iterative Data Refinement for Self-Supervised MR Image Reconstruction

Nov 24, 2022
Xue Liu, Juan Zou, Xiawu Zheng, Cheng Li, Hairong Zheng, Shanshan Wang

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* 5 pages, 2 figures, 1 table

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DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans

Nov 15, 2022
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang

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* 4 pages,2 figures,2 tables

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Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI

Nov 15, 2022
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang

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* 5 pages, 2 figures, 2 tables

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Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report

Oct 20, 2022
Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kınlı, Barış Özcan, Furkan Kıraç, Li Leyi, SM Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung

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* ECCV 2022 Advances in Image Manipulation (AIM) workshop

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SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging

Aug 08, 2022
Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang

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* 22 pages,9 figures

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