Haojiang Li
Orcid: 0000-0001-5854-3989
According to our database1,
Haojiang Li authored at least 23 papers
between 2019 and 2026.
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Bibliography
2026
MADAT: Missing-aware dynamic adaptive transformer model for medical prognosis prediction with incomplete multimodal data.
Medical Image Anal., 2026
MDA-UNet: A multi-dimensional attention model to enhance fuzzy boundary segmentation in MRI of liver metastases.
Biomed. Signal Process. Control., 2026
2025
Incorporating frequency domain features into radiomics for improved prognosis of esophageal cancer.
Medical Biol. Eng. Comput., September, 2025
HardVD: High-capacity cross-modal adversarial reprogramming for data-efficient vulnerability detection.
Inf. Sci., 2025
L2,1-norm regularized quaternion matrix completion using sparse representation and approximate QSVD.
Neurocomputing, 2025
2024
IEEE Trans. Broadcast., September, 2024
LD-UNet: A long-distance perceptual model for segmentation of blurred boundaries in medical images.
Comput. Biol. Medicine, 2024
Joint Segmentation of Primary Nasopharyngeal Carcinoma Tumors and Lymph Nodes via Global Attention.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
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