Laquan Li

Orcid: 0000-0002-2167-3541

According to our database1, Laquan Li authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-strategy continual learning for knowledge refinement and consolidation.
Appl. Intell., October, 2024

Mual: enhancing multimodal sentiment analysis with cross-modal attention and difference loss.
Int. J. Multim. Inf. Retr., September, 2024

Continual medical image denoising based on triplet neural networks collaboration.
Comput. Biol. Medicine, 2024

Efficient model-informed co-segmentation of tumors on PET/CT driven by clustering and classification information.
Comput. Biol. Medicine, 2024

A Group Decision Making Approach with Z-numbers Based on Choquet Integral.
Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence, 2024

2023
Learning feature fusion via an interpretation method for tumor segmentation on PET/CT.
Appl. Soft Comput., November, 2023

Automatic abdominal segmentation using novel 3D self-adjustable organ aware deep network in CT images.
Biomed. Signal Process. Control., July, 2023

3D PET/CT Tumor Co-Segmentation Based on Background Subtraction Hybrid Active Contour Model.
Int. J. Pattern Recognit. Artif. Intell., June, 2023

A Modified Fuzzy Markov Random Field Incorporating Multiple Features for Liver Tumor Segmentation.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022
Group Sparsity Mixture Model and Its Application on Image Denoising.
IEEE Trans. Image Process., 2022

Constrained optimization for stratified treatment rules with multiple responses of survival data.
Inf. Sci., 2022

L2-Norm Scaled Transformer for 3D Head and Neck Primary Tumors Segmentation in PET-CT.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

PET/CT Co-Segmentation Based on Hybrid Active Contour Model.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Multi-Scale Adversarial Learning and Difficult Supervision for Kidney and Kidney Tumor Segmentation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020
Deep learning for variational multimodality tumor segmentation in PET/CT.
Neurocomputing, 2020

Automatic liver tumour segmentation in CT combining FCN and NMF-based deformable model.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

2018
B-Spline based globally optimal segmentation combining low-level and high-level information.
Pattern Recognit., 2018

The first MICCAI challenge on PET tumor segmentation.
Medical Image Anal., 2018

2017
Simultaneous tumor segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations.
Comput. Vis. Image Underst., 2017

Automatic Liver Lesion Segmentation in CT Combining Fully Convolutional Networks and Non-negative Matrix Factorization.
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.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Multi-scale B-spline level set segmentation based on Gaussian kernel equalization.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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