Weijian Huang

Orcid: 0000-0003-4835-8266

According to our database1, Weijian Huang authored at least 36 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
A global and local information extraction model incorporating selection mechanism for abstractive text summarization.
Multim. Tools Appl., January, 2024

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.
Medical Image Anal., 2024

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.
CoRR, 2024

Generalizable vision-language pre-training for annotation-free pathology localization.
CoRR, 2024

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning.
CoRR, 2024

Enhancing the medical foundation model with multi-scale and cross-modality feature learning.
CoRR, 2024

Multimodal self-supervised learning for lesion localization.
CoRR, 2024

Multimodal Self-Supervised Learning for Lesion Localization.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.
CoRR, 2023

Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning.
CoRR, 2023

Few-shot Class-incremental Learning for Cross-domain Disease Classification.
CoRR, 2023

MGA: Medical generalist agent through text-guided knowledge transformation.
CoRR, 2023

Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Semi-Supervised and Self-Supervised Collaborative Learning for Prostate 3D MR Image Segmentation.
CoRR, 2022

Rethinking the optimization process for self-supervised model-driven MRI reconstruction.
CoRR, 2022

Cross attention fusion for knowledge graph optimized recommendation.
Appl. Intell., 2022

Rethinking the Optimization Process for Self-supervised Model-Driven MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Edge Guided Learning for Image Super-resolution with Realistic Textures.
Proceedings of the International Joint Conference on Neural Networks, 2022

Research on Modeling and Simulation Method of Laser System for Multi-domain Unified Model.
Proceedings of the Methods and Applications for Modeling and Simulation of Complex Systems, 2022

2021
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.
IEEE Trans. Medical Imaging, 2021

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A hyperbolic embedding for scale-free networks.
Proceedings of the IEEE Intl Conf on Dependable, 2021

2020
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint.
CoRR, 2020

Temporal-spatial-frequency depth extraction of brain-computer interface based on mental tasks.
Biomed. Signal Process. Control., 2020

A method from offline analysis to online training for the brain-computer interface based on motor imagery and speech imagery.
Biomed. Signal Process. Control., 2020

Deep Hybrid Neural Network and Improved Differential Neuroevolution for Chaotic Time Series Prediction.
IEEE Access, 2020

Classify Motor Imagery by a Novel CNN with Data Augmentation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2009
Research on the Application of Web Mining Framework in E-commerce Based on Mobile Agent.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

Research on Project Target Optimization and Decision-Making Based on MAUFT and AHM.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

A Research on Exception Monitoring and Handling.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009


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