Haojiang Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Matrix Completion

Semantic Segmentation

Top Venues

Comput. Biol. Medicine

Publications

Shuchao Chen, Chao Luo, Shanshan Liu, Haojiang Li, Yifei Liu, Haoyang Zhou, Lizhi Liu, Hongbo Chen
LD-UNet: A long-distance perceptual model for segmentation of blurred boundaries in medical images. Comput. Biol. Medicine 171 (2024)
Xin Zhao, Guanghui Han, Haojiang Li, Zenghui Wei, Mengfan Yang
Deep Active Learning for Computer-Aided Detection of Nasopharyngeal Carcinoma in MRI Images. ICCAI (2023)
Juan Han, Kit Ian Kou, Jifei Miao, Lizhi Liu, Haojiang Li
-Norm Regularized Quaternion Matrix Completion Using Sparse Representation and Quaternion QR Decomposition. CoRR (2023)
Yuanquan Hao, Huiyan Jiang, Zhaoshuo Diao, Tianyu Shi, Lizhi Liu, Haojiang Li, Weijing Zhang
MSU-Net: Multi-scale Sensitive U-Net based on pixel-edge-region level collaborative loss for nasopharyngeal MRI segmentation. Comput. Biol. Medicine 159 (2023)
Guihua Tao, Haojiang Li, Jiabin Huang, Chu Han, Jiazhou Chen, Guangying Ruan, Wenjie Huang, Yu Hu, Tingting Dan, Bin Zhang, Shengfeng He, Lizhi Liu, Hongmin Cai
SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance. Medical Image Anal. 78 (2022)
Yang Li, Tingting Dan, Haojiang Li, Jiazhou Chen, Hong Peng, Lizhi Liu, Hongmin Cai
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma Tumors and Metastatic Lymph Nodes in MR Images. IEEE Trans. Medical Imaging 41 (7) (2022)
Guihua Tao, Haojiang Li, Dandan Lu, Ziqin Ling, Lizhi Liu, Hongmin Cai
Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma. BIBM (2022)
Sai Li, Qiong Gong, Haojiang Li, Shuchao Chen, Yifei Liu, Guangying Ruan, Lin Zhu, Lizhi Liu, Hongbo Chen
Automatic location scheme of anatomical landmarks in 3D head MRI based on the scale attention hourglass network. Comput. Methods Programs Biomed. 214 (2022)
Demin Liu, Haojiang Li, Liyang Wu, Shuchao Chen, Tianqiao Zhang, Wenjie Huang, Guangying Ruan, Sai Li, Lizhi Liu, Hongbo Chen
Time-to-Event Supervised Genetic Algorithm Enables Induction Chemotherapy Decision Making for Nasopharyngeal Carcinoma. IEEE Access 9 (2021)
Guihua Tao, Haojiang Li, Lizhi Liu, Hongmin Cai
Detection-and-Excitation Neural Network Achieves Accurate Nasopharyngeal Carcinoma Segmentation in Multi-modality MR Images. BIBM (2021)
Sai Li, Shuchao Chen, Haojiang Li, Guangying Ruan, Shuai Ren, Tianqiao Zhang, Lizhi Liu, Hongbo Chen
Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor. IEEE Access 8 (2020)
Guoheng Huang, Junwen Zhu, Jiajian Li, Zhuowei Wang, Lianglun Cheng, Lizhi Liu, Haojiang Li, Jian Zhou
Channel-Attention U-Net: Channel Attention Mechanism for Semantic Segmentation of Esophagus and Esophageal Cancer. IEEE Access 8 (2020)
Haiyan Wang, Guoqiang Han, Haojiang Li, Guihua Tao, Enhong Zhuo, Lizhi Liu, Hongmin Cai, Yangming Ou
A Collaborative Dictionary Learning Model for Nasopharyngeal Carcinoma Segmentation on Multimodalities MR Sequences. Comput. Math. Methods Medicine 2020 (2020)
Jia Su, Haojiang Li, Mingliang Tao, Yifei Fan, Ling Wang, Haihong Tao
Wideband Interference Suppression for SAR by Time-Frequency-Pulse Joint Domain Processing. IGARSS (2020)
Jia-Bin Huang, Enhong Zhuo, Haojiang Li, Lizhi Liu, Hongmin Cai, Yangming Ou
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention. MICCAI (5) (2019)
Shuchao Chen, Han Yang, Jiawen Fu, Weijian Mei, Shuai Ren, Yifei Liu, Zhihua Zhu, Lizhi Liu, Haojiang Li, Hongbo Chen
U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images. IEEE Access 7 (2019)