Hao Yang

28 papers B 1Journal 19Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anatomy-Aware MR-Imaging-Only Radiotherapy.
IEEE Trans. Image Process.
Hao Yang, Yue Sun, Hui Xie, Lina Zhao, Chi Kin Lam, Qiang Zhao, Xiangyu Xiong, Kunyan Cai, Behdad Dashtbozorg, Chenggang Yan, Tao Tan
2025 — conf
A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging.
MICCAI (10)
Xuanru Zhou, Jiarun Liu, Shoujun Yu, Hao Yang, Cheng Li, Tao Tan, Shanshan Wang
2025 J jnl
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis.
CoRR
Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang
2025 — conf
BioVFM-21M: Benchmarking and Scaling Self-supervised Vision Foundation Models for Biomedical Image Analysis.
MedAGI
Jiarun Liu, Hong-Yu Zhou, Weijian Huang, Hao Yang, Dongning Song, Tao Tan, Yong Liang, Shanshan Wang
2025 B conf
MambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory Prediction.
SMC
Hao Yang, Tao Tan, Shuai Tan, Weiqin Yang, Kunyan Cai, Calvin Chen, Yue Sun
2025 J jnl
MambaControl: Anatomy Graph-Enhanced Mamba ControlNet with Fourier Refinement for Diffusion-Based Disease Trajectory Prediction.
CoRR
Hao Yang, Tao Tan, Shuai Tan, Weiqin Yang, Kunyan Cai, Calvin Chen, Yue Sun
2025 J jnl
Optimized Vessel Segmentation: A Structure-Agnostic Approach With Small Vessel Enhancement and Morphological Correction.
IEEE Trans. Image Process.
Dongning Song, Weijian Huang, Jiarun Liu, Md Jahidul Islam, Hao Yang, Shuqiang Wang, Hairong Zheng, Shanshan Wang
2025 J jnl
Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Lequan Yu, Yong Liang, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 — conf
Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques.
ISBI
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024 J jnl
Enhancing the medical foundation model with multi-scale and cross-modality feature learning.
CoRR
Weijian Huang, Cheng Li, Hong-Yu Zhou, Jiarun Liu, Hao Yang, Yong Liang, Shanshan Wang
2024 J jnl
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement.
CoRR
Cheng Li, Weijian Huang, Hao Yang, Jiarun Liu, Shanshan Wang
2024 J jnl
Generalizable vision-language pre-training for annotation-free pathology localization.
CoRR
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Shanshan Wang
2024 J jnl
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning.
CoRR
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Shanshan Wang
2024 — conf
Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning.
ISBI
Jiarun Liu, Hong-Yu Zhou, Cheng Li, Weijian Huang, Hao Yang, Yong Liang, Guangming Shi, Hairong Zheng, Shanshan Wang
2024 — conf
Multimodal Self-Supervised Learning for Lesion Localization.
ISBI
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Guangming Shi, Hairong Zheng, Qiegen Liu, Shanshan Wang
2024 J jnl
Multimodal self-supervised learning for lesion localization.
CoRR
Hao Yang, Hong-Yu Zhou, Cheng Li, Weijian Huang, Jiarun Liu, Yong Liang, Shanshan Wang
2024 — conf
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining.
MICCAI (9)
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Cheng Li, Yong Liang, Guangming Shi, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2024 J jnl
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.
CoRR
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Yan Xi, Lequan Yu, Yizhou Yu, Yong Liang, Guangming Shi, Shaoting Zhang, Hairong Zheng, Shanshan Wang
2023 J jnl
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning.
CoRR
Weijian Huang, Cheng Li, Hao Yang, Jiarun Liu, Shanshan Wang
2023 J jnl
Few-shot Class-incremental Learning for Cross-domain Disease Classification.
CoRR
Hao Yang, Weijian Huang, Jiarun Liu, Cheng Li, Shanshan Wang
2023 J jnl
MGA: Medical generalist agent through text-guided knowledge transformation.
CoRR
Weijian Huang, Hao Yang, Cheng Li, Mingtong Dai, Rui Yang, Shanshan Wang
2021 J jnl
A Coarse-to-Fine Deformable Transformation Framework for Unsupervised Multi-Contrast MR Image Registration with Dual Consistency Constraint.
IEEE Trans. Medical Imaging
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
2020 J jnl
A coarse-to-fine framework for unsupervised multi-contrast MR image deformable registration with dual consistency constraint.
CoRR
Weijian Huang, Hao Yang, Xinfeng Liu, Cheng Li, Ian Zhang, Rongpin Wang, Hairong Zheng, Shanshan Wang
2019 — conf
CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.
MICCAI (3)
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 J jnl
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.
CoRR
Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019 J jnl
MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation.
IEEE Access
Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang
2019 — conf
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.
MICCAI (3)
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2019 J jnl
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies.
CoRR
Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang