Yuhao Huang

Medical Ultrasound Image Computing (MUSIC) Lab, School of Biomedical Engineering, Medical School, Shenzhen University, China.

Email: yuhoo0302@gmail.com; huangyuhao2019@email.szu.edu.cn

Google Scholar /  GitHub

Introduction

I am currently a visiting scholar at Harvard Medical School and Boston Children's Hospital, supervised by Dr. Davood Karimi and Prof. Ellen Grant. I received my Ph.D. degree from Shenzhen University in 2025.12, and my supervisor is Prof. Dong Ni.

My research interest is medical image computing. Specifically, I mainly focus on Reinforcement Learning in medical image analysis and robust deep learning model.

News

  • [03/2026] Our paper on fetal orofacial clefts and medical education was accepted by Nature Communications!
  • [02/2026] Our paper on medical sequence synthesis for enhanced classification was accepted by IJCV.
  • [01/2026] Our paper, Segment Anything Model for Medical Images?, has been awarded the Highly Cited PaperšŸ† and Hot PaperšŸ”„ distinctions by ESI.
  • [11/2025] One paper on DDH intelligent analysis in China was accepted by eClinicalMedicine.
  • [10/2025] One paper about fetal ultrasound image synthesis was accepted by MedIA.
  • [09/2025] One paper about carotid stenosis grading in ultrasound was accepted by the European Journal of Radiology.
  • [06/2025] Eight papers were accepted by MICCAI 2025.
  • [04/2025] Our paper about weakly-supervised segmentation in ABUS was accepted by MedIA.
  • [02/2025] Our paper about diffusion-based plane localization in 3D ultrasound was accepted by CMPB.
  • [01/2025] Our paper about CLP plane localization in 3D ultrasound was accepted by BMC Pregnancy and Childbirth.
  • [12/2024] Our paper about quality assessment in fetal ultrasound was accepted by BSPC.
  • [12/2024] Our paper about 3D interactive segmentation was accepted by Neural Networks.
  • [11/2024] Our News & Views about the biomedical foundation model was published in Nature Methods.
  • [07/2024] Three papers were accepted by the MICCAI MLMI workshop (robust SAM, OOD, Ultrasound Video Generation).
  • [07/2024] One paper about controllable echocardiography video synthesis was accepted by MICCAI 2024.
  • [01/2024] One paper about the foundation model for moving medical object segmentation was accepted by IEEE ISBI 2024.
  • [12/2023] Our work on evaluating SAM on large medical image datasets was accepted by MedIA.
  • [10/2023] Our work on fetal pose estimation in 3D ultrasound was accepted by MedIA.
  • [08/2023] One paper about Interactive Medical Image Segmentation was accepted by the MICCAI MLMI workshop.
  • [07/2023] One paper about 3D freehand reconstruction was accepted by MedIA.
  • [05/2023] Three papers were early-accepted by MICCAI 2023 (about registration, model robustness and transformer-based video classification).
  • [05/2023] We evaluated the Segment Anything Model on a large medical dataset (16 modalities, 68 objects, and 553K slices). The 23-page report was submitted to Arxiv.
  • [04/2023] Our MICCAI extension paper about sensorless freehand 3D ultrasound reconstruction was accepted by Medical Image Analysis.
  • [03/2023] One paper about test-time bi-directional adaptation for robust medical segmentation was accepted by Computer Methods and Programs in Biomedicine (CMPB).
  • [12/2022] One paper about deep learning-based carotid plaque diagnosis was accepted by European Radiology.
  • [04/2022] Three papers about robustness, ultrasound video synthesis and RL-based plane localization were accepted by MICCAI 2022 (two early accepted).
  • [04/2022] Our work on GAN-based COVID-19, Hip Joint and Ovary ultrasound image synthesis was accepted by Medical Image Analysis.
  • [04/2022] Our work about NAS for Echinococcosis Classification and Ovary Segmentation in ultrasound was accepted by Expert Systems With Application.
  • [06/2021] Two papers about weakly-supervised segmentation and 3D freehand reconstruction were accepted by MICCAI 2021 (one early accepted).
  • [06/2021] Our paper on segmentation, detection and measurement of infant developmental dysplasia of the hip (DDH) was accepted by IEEE JBHI.
  • [05/2021] Our MICCAI extension paper about searching RL via NAS for multi-plane detection was accepted by Medical Image Analysis.
  • [05/2021] Our paper on meta-learning for landmark detection was accepted by IEEE JBHI.
  • [03/2021] Our MICCAI extension study on Reinforcement Learning based 3D plane localization was accepted by IEEE TMI.
  • [05/2020] Two papers about plane localization in 3D ultrasound and multi-modal classification were accepted by MICCAI 2020 (one early accepted).
  • [01/2020] Two papers about style transfer based robust ultrasound image segmentation and 3D ultrasound detection were accepted by ISBI 2020.
  • [09/2019] I started my postgraduate life in MUSIC Lab at School of Biomedical Engineering, Health Science Center, Shenzhen University, supervised by Prof. Dong Ni.
  • [06/2019] I received my B.S. [Applied Statistics, School of Applied Mathematics, Guangdong University of Technology].

    • Publications (*: Co-first Authors)

                                                                                                                                              
    /*2025*/

    Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound

    Yuhao Huang, Ao Chang, Haoran Dou, Xing Tao, Xinrui Zhou, Yan Cao, Ruobing Huang, Alejandro F Frangi, Lingyun Bao, Xin Yang, and Dong Ni

    Medical Image Analysis, 2025. [paper]

    Standard plane localization using denoising diffusion model with multi-scale guidance

    Haoran Dou*, Yuhao Huang*, Yunzhi Huang, Xin Yang, Chaojiong Zhen, Yuanji Zhang, Yi Xiong, Weijun Huang, and Dong Ni

    CMPB, 2025. [paper][code]

    Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound

    Yuhao Huang, Yueyue Xu, Haoran Dou, Jiaxiao Deng, Xin Yang, Hongyu Zheng, and Dong Ni

    MICCAI, 2025. [paper]

    MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis

    Zhe Liu*, Yuhao Huang*, Lian Liu*, Chengrui Zhang, Haotian Lin, Tong Han, Zhiyuan Zhu, Yanlin Chen, Yuerui Chen, Dong Ni, Zhongshan Gou, and Xin Yang

    MICCAI, 2025. [paper]

    UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound

    Junxuan Yu*, Yaofei Duan*, Yuhao Huang*, Yu Wang*, Rongbo Ling, Weihao Luo, Ang Zhang, Jingxian Xu, Qiongying Ni, Yongsong Zhou, Binghan Li, Haoran Dou, Liping Liu, Yanfen Chu, Feng Geng, Zhe Sheng, Zhifeng Ding, Dingxin Zhang, Rui Huang, Yuhang Zhang, Xiaowei Xu, Tao Tan, Dong Ni, Zhongshan Gou, and Xin Yang

    MICCAI, 2025. [paper]

    A foundation model unlocks unified biomedical image analysis

    Yuhao Huang, Haoran Dou, Dong Ni

    Nature Methods News&Views, 2025 [paper]

    ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

    Yaofei Duan, Yuhao Huang, Xin Yang, Luyi Han, Xinyu Xie, Zhiyuan Zhu, Ping He, Ka-Hou Chan, Ligang Cui, Sio-Kei Im, Dong Ni, and Tao Tan

    MICCAI, 2025. [paper]

    Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound

    Shijing Chen*, Xinrui Zhou*, Yuhao Wang, Yuhao Huang, Ao Chang, Dong Ni, and Ruobing Huang

    MICCAI, 2025. [paper]

    Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

    Huanwen Liang, Jingxian Xu, Yuanji Zhang, Yuhao Huang, Yuhan Zhang, Xin Yang, Ran Li, Xuedong Deng, Yanjun Liu, Guowei Tao, Yun Wu, Sheng Zhao, Xinru Gao, and Dong Ni

    MICCAI, 2025. [paper]

    MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound

    Rusi Chen*, Yuanting Yang*, Jiezhi Yao*, Hongning Song*, Ji Zhang, Yongsong Zhou, Yuhao Huang, Ronghao Yang, Dan Jia, Yuhan Zhang, Xing Tao, Haoran Dou, Qing Zhou, Xin Yang, and Dong Ni

    MICCAI, 2025. [paper]

    Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound

    Zhiyuan Zhu*, Jian Wang*, Yong Jiang*, Tong Han, Yuhao Huang, Ang Zhang, Kaiwen Yang, Mingyuan Luo, Zhe Liu, Yaofei Duan, Dong Ni, Tianhong Tang, and Xin Yang

    MICCAI, 2025. [paper]

    Deep learning algorithms for identifying developmental dysplasia of the hip based on sonographic images: a retrospective, prospective, multicenter study in China

    Na Xu*, Tong Han*, Bingxuan Huang*, Wei Fan*, Xiping Chen*, Miaochan Zhu, Lili Miao, Yuhao Huang, Zhiyuan Zhu, Lili Tong, Liang Chen, Jinqiao Liu, Shangfu Lin, Lili Nie, Chuan Liu, Jun Gao, Xia Zhan, Lin Lin, Mudan Meng, ShanShan Xu, Yehong Wang, Honglan Peng, Xuanfan Hu, Ziyi Cao, Zongyu Zhang, Dejuan Kong, Tao Feng, Dong Ni, Xin Yang, and Luyao Zhou

    eClinicalMedicine, 2025. [paper]

    Human-machine interaction based on real-time explainable deep learning for higher accurate grading of carotid stenosis from transverse B-mode scan videos

    Jia Liu*, Xinrui Zhou*, Hui Lin, Yuhao Huang, Jian Zheng, Erjiao Xu, Hongye Li, Min Zhong, Xin Yang, Xindi Hu, Xue Lu, Dong Ni, and Jie Ren

    European Journal of Radiology, 2025. [paper]

    Fetalflex: Anatomy-guided diffusion model for flexible control on fetal ultrasound image synthesis

    Yaofei Duan, Tao Tan, Zhiyuan Zhu, Yuhao Huang, Yuanji Zhang, Rui Gao, Patrick Cheong-Iao Pang, Xinru Gao, Guowei Tao, Xiang Cong, Zhou Li, Lianying Liang, Guangzhi He, Linliang Yin, Xuedong Deng, Xin Yang, and Dong Ni

    Medical Image Analysis, 2025. [paper]

    Enhancing fetal ultrasound image quality assessment with multi-scale fusion and clustering-based optimization

    Chaoyu Chen, Yuhao Huang, Xin Yang, Xindi Hu, Yuanji Zhang, Tao Tan Wufeng Xue, and Dong Ni

    BSPC, 2025. [paper]

    P2ED: A four-quadrant framework for progressive prompt enhancement in 3D interactive medical imaging segmentation

    Ao Chang, Xing Tao, Yuhao Huang, Xin Yang, Jiajun Zeng, Xinrui Zhou, Ruobing Huang and Dong Ni

    Neural Network, 2025. [paper]

    Comparative Study of 2D vs. 3D AI-Enhanced Ultrasound for Accurate Fetal Crown-rump Length Evaluation in the First Trimester

    Yuanji Zhang, Yuhao Huang, Chaoyu Chen, Xing Hu, Wenxiong Pan, Huanjia Luo, Yankai Huang, Haixia Wang, Yan Cao, Yan Yi, Yi Xiong, and Dong Ni

    BMC Pregnancy and Childbirth, 2025. [paper]

    CLP-Net: an advanced artificial intelligence technique for localizing standard planes of cleft lip and palate by three-dimensional ultrasound in the first trimester

    Guangzhi He*, Zhou Li*, Zhiyuan Zhu*, Tong Han, Yan Cao, Chaoyu Chen, Yuhao Huang, Haoran Dou, Lianying Liang, Fangmei Zhang, Jin Peng, Tao Tan, Hongmei Liu, Xin Yang, and Dong Ni

    BMC Pregnancy Childbirth, 2025. [paper]

    /*2024*/

    Segment Anything Model for Medical Images?

    Yuhao Huang*, Xin Yang*, Lian Liu, Han Zhou, Ao Chang, Xinrui Zhou, Rusi Chen, Junxuan Yu, Jiongquan Chen, Chaoyu Chen, Sijing Liu, Haozhe Chi, Xindi Hu, Kejuan Yue, Lei Li, Vicente Grau, Deng-Ping Fan, Fajin Dong and Dong Ni

    Medical Image Analysis, 2024. [paper][code]

    FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound

    Chaoyu Chen*, Xin Yang*, Yuhao Huang, Wenlong Shi, Yan Cao, Mingyuan Luo, Xindi Hu, Lei Zhu, Lequan Yu, Kejuan Yue, Yuanji Zhang, Yi Xiong, Dong Ni and Weijun Huang

    Medical Image Analysis, 2024. [paper]

    HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models

    Xinrui Zhou*, Yuhao Huang*, Wufeng Xue, Haoran Dou, Jun Cheng, Han Zhou and Dong Ni

    MICCAI, 2024. [paper]

    Robust Box Prompt based SAM for Medical Image Segmentation

    Yuhao Huang*, Xin Yang, Han Zhou, Yan Cao, Haoran Dou, Fajin Dong and Dong Ni

    MICCAI MLMI, 2024. [paper]

    Mitral Regurgitation Recognition based on Unsupervised Out-of-Distribution Detection with Residual Diffusion Amplification

    Zhe Liu*, Xiliang Zhu*, Tong Han*, Yuhao Huang, Jian Wang, Lian Liu, Fang Wang, Dong Ni, Zhongshan Gou, Xin Yang

    MICCAI MLMI, 2024. [paper]

    Explainable and Controllable Motion Curve Guided Cardiac Ultrasound Video Generation

    Junxuan Yu*, Rusi Chen*, Yongsong Zhou, Yanlin Chen, Yaofei Duan, Yuhao Huang, Han Zhou, Tan Tao, Xin Yang and Dong Ni

    MICCAI MLMI, 2024. [paper]

    A Foundation Model for General Moving Object Segmentation in Medical Images

    Zhongnuo Yan*, Tong Han*, Yuhao Huang, Lian Liu, Han Zhou, Jiongquan Chen, Wenlong Shi, Yan Cao, Xin Yang and Dong Ni

    IEEE ISBI, 2024. [paper][code]

    /*2023*/

    GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration

    Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F Frangi, Yunzhi Huang.

    MICCAI, 2023. [paper]

    Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

    Yuhao Huang*, Xin Yang*, Xiaoqiong Huang, Xinrui Zhou, Haozhe Chi, Haoran Dou, Xindi Hu, Jian Wang, Xuedong Deng and Dong Ni.

    MICCAI, 2023. [paper]

    Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

    Xinrui Zhou*, Yuhao Huang*, Wufeng Xue, Xin Yang, Yuxin Zou, Qilong Ying, Yuanji Zhang, Jia Liu, Jie Ren and Dong Ni

    MICCAI, 2023. [paper]

    RecON: Online learning for sensorless freehand 3D ultrasound reconstruction

    Mingyuan Luo*, Xin Yang*, Hongzhang Wang, Haoran Dou, Xindi Hu, Yuhao Huang, Nishant Ravikumar, Songcheng Xu, Yuanji Zhang, Yi Xiong, Wufeng Xue, Alejandro F Frangi, Dong Ni and Litao Sun.

    Medical Image Analysis, 2023. [paper]

    Test-time bi-directional adaptation between image and model for robust segmentation

    Xiaoqiong Huang*, Xin Yang*, Haoran Dou, Yuhao Huang, Li Zhang, Zhendong Liu, Zhongnuo Yan, Lian Liu, Yuxin Zou, Xindi Hu, Rui Gao, Yuanji Zhang, Yi Xiong, Wufeng Xue and Dong Ni.

    CMPB, 2023. [paper]

    /*2022*/

    Deep learning based on carotid transverse B-mode scan videos for the diagnosis of carotid plaque: a prospective multicenter study

    Jia Liu*, Xinrui Zhou*, Hui Lin, Xue Lu, Jian Zheng, Erjiao Xu, Dianhu Jiang, Hui Zhang, Xin Yang, Junlin Zhong, Xindi Hu, Yuhao Huang, Yanling Zhang, Jiamin Liang, Qin Liu, Min Zhong, Yuansen Chen, Huixiang Yan, Haowen Deng, Rongqin Zheng, Dong Ni and Jie Ren.

    European Radiology, 2022. [paper]

    Online Reflective Learning for Robust Medical Image Segmentation

    Yuhao Huang*, Xin Yang*, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao and Dong Ni.

    MICCAI, 2022. [paper]

    Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D US

    Yuxin Zou*, Haoran Dou*, Yuhao Huang, Xin Yang, Jikuan Qian, Weijun Huang, Guoqiang Chen, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar,Alejandro F Frangi and Dong Ni.

    MICCAI, 2022. [paper]

    Weakly-supervised High-fidelity Ultrasound Video Synthesis with Feature Decoupling

    Jiamin Liang*, Xin Yang*, Yuhao Huang, Kai Liu, Xinrui Zhou, Xindi Hu, Zehui Lin, Huanjia Luo, Yuanji Zhang, Yi Xiong and Dong Ni.

    MICCAI, 2022. [paper]

    Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis

    Jiamin Liang*, Xin Yang*, Yuhao Huang, Haoming Li, Shuangchi He, Xindi Hu, Zejian Chen, Wufeng Xue, Jun Cheng and Dong Ni.

    Medical Image Analysis, 2022. [paper]

    HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images

    Jikuan Qian*, Rui Li*, Xin Yang, Yuhao Huang, Mingyuan Luo, Zehui Lin, Wenhui Hong, Ruobing Huang, Haining Fan, Dong Ni and Jun Cheng.

    Expert Systems With Application, 2022. [paper]

    /*2021*/

    Flip Learning: Erase to Segment

    Yuhao Huang*, Xin Yang*, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro Frangi, Jianqiao Zhou and Dong Ni.

    MICCAI, 2021. [paper]

    Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

    Mingyuan Luo*, Xin Yang*, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro Frangi and Dong Ni.

    MICCAI, 2021. [paper]

    Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

    Xindi Hu*, Limin Wang*, Xin Yang, Xu Zhou, Wufeng Xue, Shengfeng Liu, Yan Cao, Yuhao Huang, Shuangping Guo, Ning Shang, Dong Ni, and Ning Gu.

    IEEE JBHI, 2021. [paper]

    Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound

    Xin Yang*, Yuhao Huang*, Ruobing Huang, Haoran Dou, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Chaoyu Chen, Yuanji Zhang, Haixia Wang, Yi Xiong, Dong Ni.

    Medical Image Analysis, 2021. [MedIA version][Arxiv version]

    Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images

    Guangquan Zhou*, Juzheng Miao*, Xin Yang, Rui Li, En-Ze Huo, Wenlong Shi, Yuhao Huang, Jikuan Qian, Chaoyu Chen, Dong Ni*.

    IEEE JBHI, 2021. [paper]

    Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound

    Xin Yang*, Haoran Dou*, Ruobing Huang, Wufeng Xue, Yuhao Huang, Jikuan Qian, Yuanji Zhang, Huanjia Luo, Huizhi Guo, Tianfu Wang, Yi Xiong, Dong Ni.

    IEEE TMI, 2021. [paper] [code]
    /*2020*/

    Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound

    Yuhao Huang*, Xin Yang*, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Haoran Dou, Chaoyu Chen, Yuanji Zhang, Huanjia Luo, Alejandro Frangi, Yi Xiong, Dong Ni.

    MICCAI, 2020. [MICCAI version][Arxiv version]

    Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound

    Jian Wang*, Juzheng Miao*, Xin Yang, Li Rui, Zhou Guangquan, Yuhao Huang, Zehui Lin, Wufeng Xue, Xiaohong Jia, Jianqiao Zhou, Ruobing Huang, Dong Ni.

    MICCAI, 2020. [MICCAI version][Arxiv version]

    Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound

    Chaoyu Chen*, Xin Yang*, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni.

    IEEE ISBI, 2020. [paper]

    Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer.

    Liu Zhendong*, Xin Yang*, Rui Gao, Shengfeng Liu, Haoran Dou, Shuangchi He, Yuhao Huang, Yankai Huang, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni.

    IEEE ISBI, 2020. [paper]

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