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2020 – today
- 2024
[c3]Xiaohan Xing, Liang Qiu, Lequan Yu, Lingting Zhu, Lei Xing, Lianli Liu:
Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction. MLMI@MICCAI (1) 2024: 177-186- [i1]Lingting Zhu, Yizheng Chen, Lianli Liu, Lei Xing, Lequan Yu:
Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging. CoRR abs/2409.19420 (2024) - 2023
- [j1]Yizheng Chen
, Lequan Yu, Jen-Yeu Wang, Neil Panjwani, Jean-Pierre Obeid, Wu Liu, Lianli Liu, Nataliya Kovalchuk, Michael Francis Gensheimer, Lucas Kas Vitzthum, Beth M. Beadle, Daniel T. Chang, Quynh-Thu Le, Bin Han, Lei Xing:
Adaptive Region-Specific Loss for Improved Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13408-13421 (2023)
2010 – 2019
- 2018
- [c2]Lianli Liu, Adam Johansson, James M. Balter, Yue Cao, Jeffrey A. Fessler:
Accelerated high b-value diffusion-weighted MR imaging via phase-constrained low-rank tensor model. ISBI 2018: 344-348 - 2014
- [c1]Xiyu Yang, Lianli Liu, Xueming Qian, Tao Mei, Jialie Shen, Qi Tian:
Mobile visual search via hievarchical sparse coding. ICME 2014: 1-6
Coauthor Index
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