Weijian Huang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 34

Top Topics

Lesion Segmentation

Top Venues

Biomed. Signal Process. Control.

Publications

Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang
Generalizable vision-language pre-training for annotation-free pathology localization. CoRR (2024)
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang
Enhancing the medical foundation model with multi-scale and cross-modality feature learning. CoRR (2024)
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. CoRR (2024)
Cheng Li, Weijian Huang, Hao Yang, Jiarun Liu, Shanshan Wang
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. CoRR (2024)
Yuanyuan Li, Yuan Huang, Weijian Huang, Wei Wang
A global and local information extraction model incorporating selection mechanism for abstractive text summarization. Multim. Tools Appl. 83 (2) (2024)
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang
Multimodal self-supervised learning for lesion localization. CoRR (2024)
Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang
Few-shot Class-incremental Learning for Cross-domain Disease Classification. CoRR (2023)
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. ISBI (2023)
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Leslie Ying, Hairong Zheng, Shanshan Wang
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. ISBI (2023)
Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Shanshan Wang
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning. CoRR (2023)
Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang
MGA: Medical generalist agent through text-guided knowledge transformation. CoRR (2023)
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. ISBI (2023)
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Shanshan Wang
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation. CoRR (2023)
Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. ISBI (2023)
Cheng Li, Yousuf Babiker M. Osman, Weijian Huang, Zhenzhen Xue, Hua Han, Hairong Zheng, Shanshan Wang
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation. CoRR (2022)
Weijian Huang, Jianhua Wu, Weihu Song, Zehua Wang
Cross attention fusion for knowledge graph optimized recommendation. Appl. Intell. 52 (9) (2022)
Yousuf Babiker M. Osman, Cheng Li, Weijian Huang, Nazik Elsayed, Zhenzhen Xue, Hairong Zheng, Shanshan Wang
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation. CoRR (2022)
Weijian Huang, Dong Li, Tao Ma, Siqiang Yi, Baoran An
Research on Modeling and Simulation Method of Laser System for Multi-domain Unified Model. AsiaSim (2) (2022)
Weijian Huang, Cheng Li, Wenxin Fan, Yongjin Zhou, Qiegen Liu, Hairong Zheng, Shanshan Wang
Rethinking the optimization process for self-supervised model-driven MRI reconstruction. CoRR (2022)
Zhan Li, Ziyi Zhong, Zhitao Chen, Gengqi Yao, Xi Chen, Weijian Huang
Edge Guided Learning for Image Super-resolution with Realistic Textures. IJCNN (2022)
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI. CoRR (2022)
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans. CoRR (2022)
Weijian Huang, Cheng Li, Wenxin Fan, Ziyao Zhang, Tong Zhang, Yongjin Zhou, Qiegen Liu, Shanshan Wang
Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction. MLMIR@MICCAI (2022)
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint. IEEE Trans. Medical Imaging 40 (10) (2021)
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Xin Shen, Weijian Huang, Jing Gong, Zhixin Sun
A hyperbolic embedding for scale-free networks. DASC/PiCom/CBDCom/CyberSciTech (2021)
Li Wang, Weijian Huang, Zhao Yang, Xiao Hu, Chun Zhang
A method from offline analysis to online training for the brain-computer interface based on motor imagery and speech imagery. Biomed. Signal Process. Control. 62 (2020)
Weijian Huang, Li Wang, Zhenxiong Yan, Yanjun Liu
Classify Motor Imagery by a Novel CNN with Data Augmentation. EMBC (2020)
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint. CoRR (2020)
Weijian Huang, Yongtao Li, Yuan Huang
Deep Hybrid Neural Network and Improved Differential Neuroevolution for Chaotic Time Series Prediction. IEEE Access 8 (2020)
Li Wang, Weijian Huang, Zhao Yang, Chun Zhang
Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks. Biomed. Signal Process. Control. 58 (2020)
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. CoRR (2019)
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation. CoRR (2019)
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. MICCAI (3) (2019)
Weijian Huang, Juwei Yan, Fei Wang
Research on Project Target Optimization and Decision-Making Based on MAUFT and AHM. NCM (2009)
Weijian Huang, Shuo Liang, Yuanyuan Shi
A Research on Exception Monitoring and Handling. NCM (2009)
Weijian Huang, Xuqian Zhou, Nianpeng Wang
Research on the Application of Web Mining Framework in E-commerce Based on Mobile Agent. NCM (2009)