Laquan Li

According to our database, Laquan Li authored at least 18 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning feature fusion via an interpretation method for tumor segmentation on PET/CT.

Susu Kang, Zhiyuan Chen, Laquan Li, Wei Lu, X. Sharon Qi, Shan Tan

Appl. Soft Comput., November, 2023

Automatic abdominal segmentation using novel 3D self-adjustable organ aware deep network in CT images.

Laquan Li, Haiguo Zhao, Hong Wang, Weisheng Li, Shenhai Zheng

Biomed. Signal Process. Control., July, 2023

3D PET/CT Tumor Co-Segmentation Based on Background Subtraction Hybrid Active Contour Model.

Laquan Li, Chuangbo Jiang, Patrick Shen-Pei Wang, Shenhai Zheng

Int. J. Pattern Recognit. Artif. Intell., June, 2023

A Modified Fuzzy Markov Random Field Incorporating Multiple Features for Liver Tumor Segmentation.

Laquan Li, Yan Jiang

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022

Group Sparsity Mixture Model and Its Application on Image Denoising.

Haosen Liu, Laquan Li, Jiangbo Lu, Shan Tan

IEEE Trans. Image Process., 2022

Constrained optimization for stratified treatment rules with multiple responses of survival data.

Shixin Huang, Xiaoyu Wan, Hang Qiu, Laquan Li, Haiyan Yu

Inf. Sci., 2022

L2-Norm Scaled Transformer for 3D Head and Neck Primary Tumors Segmentation in PET-CT.

Shenhai Zheng, Jiaxin Tan, Chuangbo Jiang, Weisheng Li, Laquan Li

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation.

Jiaxin Tan, Chuangbo Jiang, Laquan Li, Haoyuan Li, Weisheng Li, Shenhai Zheng

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

PET/CT Co-Segmentation Based on Hybrid Active Contour Model.

Chuangbo Jiang, Shenhai Zheng, Laquan Li

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Multi-Scale Adversarial Learning and Difficult Supervision for Kidney and Kidney Tumor Segmentation.

Shenhai Zheng, Qiuyu Sun, Xin Ye, Weisheng Li, Laquan Li

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020

Deep learning for variational multimodality tumor segmentation in PET/CT.

Laquan Li, Xiangming Zhao, Wei Lu, Shan Tan

Neurocomputing, 2020

Automatic liver tumour segmentation in CT combining FCN and NMF-based deformable model.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang, Kaiyi Peng

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

2018

B-Spline based globally optimal segmentation combining low-level and high-level information.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Rui Chen, Kaiyi Peng

Pattern Recognit., 2018

The first MICCAI challenge on PET tumor segmentation.

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, Michaël Kain, Yao Yao, Christian Barillot, Assen Kirov, Dimitris Visvikis

Medical Image Anal., 2018

2017

Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations.

Laquan Li, Jian Wang, Wei Lu, Shan Tan

Comput. Vis. Image Underst., 2017

Automatic Liver Lesion Segmentation in CT Combining Fully Convolutional Networks and Non-negative Matrix Factorization.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Yi Wang, Kaiyi Peng

Proceedings of the Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound, 2017

A novel variational method for liver segmentation based on statistical shape model prior and enforced local statistical feature.

Shenhai Zheng, Bin Fang, Laquan Li, Mingqi Gao, Hongsuo Zhang, Hengxin Chen, Yi Wang

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Multi-scale B-spline level set segmentation based on Gaussian kernel equalization.

Shenhai Zheng, Bin Fang, Patrick S. P. Wang, Laquan Li, Mingqi Gao

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016