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2020 – today
- 2020
[j5]Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang, Kaiyi Peng:
Automatic liver tumour segmentation in CT combining FCN and NMF-based deformable model. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 468-477 (2020)- [j4]Laquan Li, Xiangming Zhao, Wei Lu, Shan Tan
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Deep learning for variational multimodality tumor segmentation in PET/CT. Neurocomputing 392: 277-295 (2020)
2010 – 2019
- 2018
- [j3]Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad, Shan Tan, Laquan Li, Wei Lu, Vincent Jaouen, Clovis Tauber, Jakub Czakon, Filip Drapejkowski, Witold Dyrka, Sorina Camarasu-Pop, Frédéric Cervenansky, Pascal Girard, Tristan Glatard, Michael Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis:
The first MICCAI challenge on PET tumor segmentation. Medical Image Anal. 44: 177-195 (2018) - [j2]Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Rui Chen, Kaiyi Peng:
B-Spline based globally optimal segmentation combining low-level and high-level information. Pattern Recognit. 73: 144-157 (2018) - 2017
- [j1]Laquan Li, Jian Wang, Wei Lu, Shan Tan:
Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations. Comput. Vis. Image Underst. 155: 173-194 (2017) - [c3]Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Hongsuo Zhang, Hengxin Chen, Yi Wang:
A novel variational method for liver segmentation based on statistical shape model prior and enforced local statistical feature. ISBI 2017: 261-264 - [c2]Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang, Kaiyi Peng:
Automatic Liver Lesion Segmentation in CT Combining Fully Convolutional Networks and Non-negative Matrix Factorization. BIVPCS/POCUS@MICCAI 2017: 44-51 - 2016
- [c1]Shenhai Zheng, Bin Fang, Patrick S. P. Wang, Laquan Li, Mingqi Gao:
Multi-scale B-spline level set segmentation based on Gaussian kernel equalization. ICIP 2016: 4319-4323
Coauthor Index
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