Haojiang Li

Orcid: 0000-0001-5854-3989

According to our database1, Haojiang Li authored at least 15 papers between 2019 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation.
Comput. Biol. Medicine, June, 2023

L<sub>2, 1</sub>-Norm Regularized Quaternion Matrix Completion Using Sparse Representation and Quaternion QR Decomposition.
CoRR, 2023

Deep Active Learning for Computer-Aided Detection of Nasopharyngeal Carcinoma in MRI Images.
Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

2022
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images.
IEEE Trans. Medical Imaging, 2022

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.
Medical Image Anal., 2022

Automatic location scheme of anatomical landmarks in 3D head MRI based on the scale attention hourglass network.
Comput. Methods Programs Biomed., 2022

Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Time-to-Event Supervised Genetic Algorithm Enables Induction Chemotherapy Decision Making for Nasopharyngeal Carcinoma.
IEEE Access, 2021

Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences.
Comput. Math. Methods Medicine, 2020

Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor.
IEEE Access, 2020

Channel-Attention U-Net: Channel Attention Mechanism for Semantic Segmentation of Esophagus and Esophageal Cancer.
IEEE Access, 2020

Wideband Interference Suppression for SAR by Time-Frequency-Pulse Joint Domain Processing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images.
IEEE Access, 2019

Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


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