Hao Yang

Orcid: 0000-0002-4378-5755

Affiliations:

Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China

According to our database¹, Hao Yang authored at least 13 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Multimodal self-supervised learning for lesion localization.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

2021

A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

2019

MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2019

CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Hao Yang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...