Qiang Li
Orcid: 0000-0002-9847-3820Affiliations:
- Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
According to our database1,
Qiang Li
authored at least 13 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Dual-correlate optimized coarse-fine strategy for monocular laparoscopic videos feature matching via multilevel sequential coupling feature descriptor.
Comput. Biol. Medicine, February, 2024
Enhancing deep vein thrombosis prediction in patients with coronavirus disease 2019 using improved machine learning model.
Comput. Biol. Medicine, 2024
Predictive modeling of deep vein thrombosis risk in hospitalized patients: A Q-learning enhanced feature selection model.
Comput. Biol. Medicine, 2024
2023
Advanced machine learning model for predicting Crohn's disease with enhanced ant colony optimization.
Comput. Biol. Medicine, September, 2023
Densely Connected U-Net With Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
2022
Multi-level contexts aggregation for melanoma recognition under feature confusion regularization.
Signal Image Video Process., 2022
Denoising of MR and CT images using cascaded multi-supervision convolutional neural networks with progressive training.
Neurocomputing, 2022
3D ARCNN: An Asymmetric Residual CNN for Decreasing False Positive Rate of Lung Nodules Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
CC-DenseUNet: Densely Connected U-Net with Criss-Cross Attention for Liver and Tumor Segmentation in CT Volumes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2019
Attention-Based DenseUnet Network With Adversarial Training for Skin Lesion Segmentation.
IEEE Access, 2019
Liver Segmentation in CT Images Using a Non-Local Fully Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Automatic Liver Segmentation Using Multi-plane Integrated Fully Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Classification of Patients with Disorder of Consciousness Based on DTI Sequence Analysis.
Proceedings of the 2017 IEEE International Conference on Smart Cloud, 2017