Xin Yang [楊鑫]

Assistant Professor

Rm A2-504
Dept. of Biomedical Engineering, Health Science Center
Shenzhen University
Shenzhen, China

Email: yangxinknow at gmail dot com
WeChat: qq352268699yang


Biography [CV]

I am currently an Assistant Professor of Biomedical Engineering Department, Health Science Center, Shenzhen University. I got my Ph.D. from the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Pheng-Ann Heng. Before that, I finished my master in School of Biomedical Engineering, Health Science Center, Shenzhen University, supervised by Prof. Dong Ni. I finished my undergraduate with top rank and National Scholarship in the Department of Biomedical Engineering, South-Central University for Nationalities. During my master period, I was offered the chance to visit the IDEA Lab, UNC-Chapel Hill, and supervised by Prof. Dinggang Shen. During my PhD period, I got the ORAP Scholarship and got a visiting chance in Cardiac Magnetic Resonance Center, Harvard Medical School.

I am also running a startup RayShape, which has been focusing on the cutting-edge AI technicis for accessible and visionary ultrasound products with the mission to advance global healthcare.

My research interest includes medical image computing, intelligent ultrasound, cardiac image analysis and computer graphics.

I am looking for self-motivated, qualified students to work with. Internship, bachelor, master and Ph.D. students are welcome to contact with detailed resume.

News

Selected Publications | Google Scholar

                                                                                                                                                                                                                                                                                                            
/*2024*/

Deep Learning-Assisted Two-Dimensional Transperineal Ultrasound for Analyzing Bladder Neck Motion in Women With Stress Urinary Incontinence

Jin Wang*, Xin Yang*, Yanqing Peng, Yan Zou, Xiduo Lu, Shuangxi Chen, Xiaoyi Pan, Dong Ni, Litao Sun.

American Journal of Obstetrics & Gynecology, 2024. [paper]

Mitral Regurgitation Recogniton 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 Workshop on MLMI 2024, 2024. [paper]

Robust Box Prompt based SAM for Medical Image Segmentation

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

MICCAI Workshop on MLMI 2024, 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#, Dong Ni#.

MICCAI Workshop on MLMI 2024, 2024. [paper]

Fine-grained Context and Multi-modal Alignment for Freehand 3D Ultrasound Reconstruction

Zhongnuo Yan*, Xin Yang*, Mingyuan Luo, Jiongquan Chen, Rusi Chen, Lian Liu, Dong Ni#.

MICCAI, 2024. [paper]

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge

Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, ..., and Bo Wang#.

The Lancet Digital Health, 2024. [paper]

A Novel Artificial Intelligence Model for Measuring Fetal Intracranial Markers during the First Trimester based on Two-dimensional Ultrasound Image

Lingling Sun*, Junxuan Yu*, Jiezhi Yao*, Yan Cao, Naimin Sun, Keqi Chen, Yujia Lin, Chunya Ji, Jun Zhang, Chen Ling, Zhong Yang, Qi Pan, Ronghao Yang, Xin Yang, Dong Ni, Linliang Yin, Xuedong Deng.

International Journal of Gynecology and Obstetrics, 2024. [paper]

Hierarchical Online Contrastive Anomaly Detection for Fetal Arrhythmia Diagnosis in Ultrasound

Xin Yang, Lian Liu, Zhongnuo Yan, Junxuan Yu, Xindi Hu, Xuejuan Yu, Caixia Dong, Ju Chen, Hongmei Liu, Zhuan Yu, Xuedong Deng, Dong Ni, Xiaoqiong Huang#, Zhongshan Gou#.

Medical Image Analysis, 2024. [paper]

Fully Automated Localization and Measurement of Levator Hiatus Dimensions Using 3-D Pelvic Floor Ultrasound

Zhijie Guo*, Xiduo Lu*, Jiezhi Yao, Yongsong Zhou, Chaoyu Chen, Jiongquan Chen, Danling Yang, Yan Cao, Wei Zheng, Xin Yang, Dong Ni#.

Ultrasound in Medicine and Biology, 2024. [paper]

Artificial Intelligence Assistance for Fetal Development: Evaluation of an Automated Software for Biometry Measurements in the Mid-trimester

Xuesong Han*, Junxuan Yu*, Xin Yang*, Chaoyu Chen, Han Zhou, Chuangxin Qiu, Yan Cao, Tianjing Zhang, Meiran Peng, Guiyao Zhu, Dong Ni, Yuanji Zhang# and Nana Liu#.

BMC Pregnancy and Childbirth, 2024. [paper]

Thyroid Ultrasound Diagnosis Improvement via Multi-view Self-supervised Learning and Two-stage Pre-training

Jian Wang, Xin Yang, Xiaohong Jia, Wufeng Xue, Rusi Chen, Yanlin Chen, Xiliang Zhu, Lian Liu, Yan Cao, Jianqiao Zhou#, Dong Ni#, Ning Gu#.

Computers in Biology and Medicine, 2024. [paper]

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

Jun Ma, Ronald Xie, Shamini Ayyadhury, ...,Xin Yang, Marco Labagnara, ..., and Bo Wang#.

Nature Methods, 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#, Dong Ni#.

ISBI 2024, 2024. [paper] [code]

An Intelligent Quantification System for Fetal Heart Rhythm Assessment: A Multi-Center Prospective Study

Xin Yang, Xiaoqiong Huang, Chenchen Wei, Junxuan Yu,..., Zhe Liu, Jin Peng, Dong Ni, Xuedong Deng, Lian Liu#, Zhongshan Gou#

Heart Rhythm, 2024. [paper]

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, Haozhe Chi, Xindi Hu, Deng-Ping Fan, Fajin Dong#, Dong Ni#

Medical Image Analysis, 2024. [paper]

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#, Weijun Huang#.

Medical Image Analysis, 2024. [paper]

/*2023*/

A Novel Artificial Intelligence Model for Fetal Facial Profile Marker Measurement during the First Trimester

Chunya Ji*, Kai Liu*, Xin Yang, Yan Cao, Xiaoju Cao, Qi Pan, Zhong Yang, Lingling Sun, Linliang Yin#, Xuedong Deng, Dong Ni.

BMC Pregnancy and Childbirth, 2023. [paper]

PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation

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

MICCAI Workshop on MLMI, 2023. [paper]

FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation

Chaoyu Chen*, Xin Yang*, Rusi Chen, Junxuan Yu, Liwei Du, Jian Wang, Xindi Hu, Yan Cao, Yingying Liu, Dong Ni#

MICCAI Workshop on MLMI, 2023. [paper]

OnUVS: Online Feature Decoupling Framework for High-Fidelity Ultrasound Video Synthesis

Han Zhou*, Dong Ni*, Ao Chang, Xinrui Zhou, Rusi Chen, Yanlin Chen, Lian Liu, Jiamin Liang, Yuhao Huang, Tong Han, Zhe Liu, Deng-Ping Fan, Xin Yang#

arXiv, 2023. [paper]

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]

Multi-IMU with Online Self-Consistency for Freehand 3D Ultrasound Reconstruction

Mingyuan Luo*, Xin Yang*, Zhongnuo Yan, Junyu Li, Yuanji Zhang, Jun Cheng and Dong Ni#

MICCAI, 2023. [paper]

Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Lian Liu*, Han Zhou*, Jiongquan Chen, Sijing Liu, Wenlong Shi, Dong Ni, Deng-Ping Fan#, and Xin Yang#

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, 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, Dong Ni#

MICCAI, 2023. [paper]

Locating Multiple Standard Planes in First-trimester Ultrasound Videos via the Detection and Scoring of Key Anatomical Structures

Chaojiong Zhen, Hongzhang Wang, Jun Cheng, Xin Yang, Chaoyu Chen, Xindi Hu, Yuanji Zhang, Yan Cao, Dong Ni, Weijun Huang, Ping Wang

Ultrasound in Medicine and Biology (UMB), 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#, Litao Sun#

Medical Image Analysis (MedIA), 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#

Computer Methods and Programs in Biomedicine (CMPB), 2023. [paper]

Hierarchical Agent-based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video

Sijing Liu, Qilong Ying, Shuangchi He, Xin Yang, Dong Ni and Ruobing Huang

ISBI, 2023. [paper]

/*2022*/

Deep learning based on carotid transverse B-mode scan videos for the diagnosis of carotid plaque: a prospective multicentre 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, ..., Rongqin Zheng, Dong Ni#, Jie Ren#

European Radiology, 2022. [paper]

Artificial Intelligence-Assisted Ultrasound Diagnosis on Infant Developmental Dysplasia of the Hip Under Constrained Computational Resources

Bingxuan Huang*, Bei Xia*, Jikuan Qian, Xinrui Zhou, Xu Zhou, Shengfeng Liu, Ao Chang, Zhongnuo Yan, Zijian Tang, Na Xu, Hongwei Tao, Xuezhi He, Wei Yu, Renfu Zhang, Ruobing Huang, Dong Ni#, Xin Yang#

Journal of Ultrasound in Medicine, 2022. [paper]

Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images

Van T. Manh, Jianqiao Zhou, Xiaohong Jia, Zehui Lin, Wenwen Xu, Zihan Mei, Yijie Dong, Xin Yang, Ruobing Huang, Dong Ni#

IEEE TUFFC, 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, Dong Ni#

MICCAI, 2022. [paper]

Fine-grained Correlation Loss for Regression

Chaoyu Chen*, Xin Yang*, Ruobing Huang, Xindi Hu, Yankai Huang, Xiduo Lu, Xinrui Zhou, Mingyuan Luo, Yinyu Ye, Xue Shuang, Juzheng Miao, Yi Xiong, Dong Ni#

MICCAI, 2022. [paper]

Deep Motion Network for Freehand 3D Ultrasound Reconstruction

Mingyuan Luo*, Xin Yang*, Hongzhang Wang, Liwei Du, Dong Ni#

MICCAI, 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, Dong Ni#

MICCAI, 2022. [paper]

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

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

MICCAI, 2022. [paper]

Boundary-rendering Network for Breast Lesion Segmentation in Ultrasound Images

Ruobing Huang, Mingrong Lin, Haoran Dou, Zehui Lin, Qilong Ying, Xiaohong Jia, Wenwen Xu, Zihan Mei, Xin Yang, Yijie Dong, Jianqiao Zhou, 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, Haoming Li, Yuhao Huang, Mingyuan Luo, Zehui Lin, Ruobing Huang, Rui Gao, Haoran Dou, Haining Fan, Jun Cheng#, and Dong Ni#

Expert Systems With Applications, 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#, Dong Ni#

Medical Image Analysis, 2022. [paper]

A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for Cross-Subject Cross-Session EEG-Based Emotion Recognition

Rushuang Zhou, Zhiguo Zhang, Xin Yang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Yining Dong, Fali Li, Zhen Liang#

arXiv, 2022. [paper]

Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization

Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi#

CVPR, 2022. [paper] [code]

A two-stage multiresolution neural network for automatic diagnosis of hepatic echinococcosis from ultrasound images: a multicenter study

Jun Cheng*, Haixia Wang*, Rui Li, Xiaomeng Li, Xu Zhou, Xin Yang, Yi Wang, Linfei Xiong, Haining Fan, Tianfu Wang, Mei Li#, Dong Ni#

Medical Physics, 2022. [paper] [code]

AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images

Kai-Ni Wang*, Xin Yang*, Juzheng Miao, Lei Li, Jing Yao, Ping Zhou, Wufeng Xue, Guang-Quan Zhou#, Xiahai Zhuang#, Dong Ni#

Medical Image Analysis, 2022. [paper] [code]

/*2021*/

Flip Learning: Erase to Segment

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

MICCAI, 2021. [paper] [code]

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 F Frangi, Dong Ni#

MICCAI, 2021. [paper] [code]

Style Curriculum Learning for Robust Medical Image Segmentation

Zhendong Liu*, Van Manh*, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor Campello, Nishant Ravikumar, Alejandro F Frangi, Dong Ni#

MICCAI, 2021. [paper] [code]

AW3M: An Auto-weighting and Recovery framework for Breast Cancer Diagnosis using Multi-modal Ultrasound

Ruobing Huang*, Zehui Lin*, Haoran Dou, Jian Wang, Juzheng Miao, Guangquan Zhou, Xiaohong Jia, Wenwen Xu, Zihan Mei, Yijie Dong, Xin Yang#, Jianqiao Zhou#, Dong Ni#.

Medical Image Analysis, 2021. [paper] [code]

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] [code]

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

Victor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, Karim Lekadir and et al..

IEEE TMI, 2021. [paper] [code]

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. [paper] [code]

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] [code]

Contrastive Rendering with Semi-supervised Learning for Ovary and Follicle Segmentation from 3D Ultrasound

Xin Yang*, Haoming Li*, Xu Zhou, Yi Wang, Xiaowen Liang, Chaoyu Chen, Fengyi Zeng, Jinghui Fang, Alejandro Frangi, Zhiyi Chen, Dong Ni.

Medical Image Analysis, 2021. [paper] [code]

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]

Generalize Ultrasound Image Segmentation via Instant and Plug-Play Style Transfer

Zhendong Liu*, Xiaoqiong Huang*, Xin Yang, Rui Gao, Rui Li, Yuanji Zhang, Yankai Huang, Guangquan Zhou, Yi Xiong, Alejandro Frangi, Dong Ni.

IEEE ISBI (Oral), 2021. [paper]

/*2020*/

Modality Alignment Contrastive Learning for Severity Assessment of COVID-19 from Lung Ultrasound and Clinical Information

Wufeng Xue, Chunyan Cao, Jie Liu, Yilian Duan, Haiyan Cao, Jian Wang, Xumin Tao, Zejian chen, Meng Wue, Jinxiang Zhang, Hui Sung, Yang Jin, Xin Yang, Li Zhang, Dong Ni and Mingxing Xie.

Medical Image Analysis, 2020. [paper]

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI

Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour.

IEEE TMI, 2020. [paper] [code]

Style-invariant Cardiac Image Segmentation with Test-time Augmentation

Xiaoqiong Huang*, Zejian Chen*, Xin Yang, Zhendong Liu, Yuxin Zou, Mingyuan Luo, Wufeng Xue, Dong Ni.

M&Ms Challenge in STACOM, 2020. [paper] [code]

DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets

Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng.

IEEE TMI, 2020. [paper] [code]

Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound

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

MICCAI, 2020. [paper]

Contrastive Rendering for Ultrasound Image Segmentation

Haoming Li*, Xin Yang*, Jiamin Liang, Wenlong Shi, Chaoyu Chen, Haoran Dou, Rui Li, Rui Gao, Guangquan Zhou, Jinghui Fang, Xiaowen Liang, Ruobing Huang, Alejandro Frangi, Zhiyi Chen, Dong Ni.

MICCAI, 2020. [paper]

Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network

Junxiong Yu*, Chaoyu Chen*, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni.

MICCAI, 2020. [paper]

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. [paper]

CR-Unet based ultrasonic follicle monitoring to reduce diameter variability, and generate area automatically as a novel biomarker for follicular maturity

Xiaowen Liang, Jinghui Fang, Haoming Li, Xin Yang, Dong Ni, Fengyi Zeng, Zhiyi Chen.

Ultrasound in Medicine and Biology, 2020. [paper]

Uncertainty-aware Domain Alignment for Anatomical Structure Segmentation

Cheng Bian*, Chenglang Yuan*, Jiexiang Wang, Meng Li, Xin Yang, Shuang Yu, Kai Ma, Jin Yuan, Yefeng Zheng.

Medical Image Analysis, 2020. [paper]

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging

Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Jichao Zhao and et al.

Medical Image Analysis, 2020. [paper]

Xin Yang*, Xu Wang*, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni. "Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes". Computer Methods and Programs in Biomedicine, 2020.

[paper]

Jiamin Liang*, Xin Yang*, Haoming Li, Yi Wang, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni. "Synthesis and Edition of Ultrasound Images via Sketch Guided Progressive Growing GANs". IEEE ISBI, 2020.

[paper]

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. "Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound". IEEE ISBI, 2020.

[paper]

Zhendong Liu*, Xin Yang*, Rui Gao, Shengfeng Liu, Haoran Dou, Shuangchi He, Yuhao Huang, Yankai Huang, Huanjia Luo, Yuanji Zhang, Yi Xiong, Dong Ni. "Remove Appearance Shift for Ultrasound Image Segmentation via Fast and Universal Style Transfer". IEEE ISBI, 2020.

[paper]

/*2019*/

Haoming Li, Jinghui Fang, Shengfeng Liu, Xiaowen Liang, Xin Yang, Zixin Mai, Manh The Van, Tianfu Wang, Zhiyi Chen and Dong Ni. "CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound". IEEE JBHI, 2019.

[paper]

Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, and Pheng-Ann Heng. "FetusMap: Fetal Pose Estimation in 3D Ultrasound". MICCAI, 2019.

[paper]

Haoran Dou*, Xin Yang*, Jikuan Qian, Wufeng Xue, Hao Qin, Xu Wang, Lequan Yu, Shujun Wang, Yi Xiong, Pheng-Ann Heng, and Dong Ni. "Agent with Warm Start and Active Termination for Plane Localization in 3D Ultrasound". MICCAI, 2019.(Oral Presentation)

[paper][Project Homepage] [code]

Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng. "Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images". Arxiv, 2019.

[paper]

Yi Wang, Na Wang, Min Xu, Junxiong Yu, Chenchen Qin, Xiao Luo, Xin Yang, Tianfu Wang, Anhua Li, and Dong Ni. "Deeply-Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound". IEEE TMI, 2019.

[paper]

Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Orjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng and et al. "Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge". Medical Image Analysis, 2019.

[paper]

Shengfeng Liu, Yi Wang, Xin Yang, Baiying Lei, Li Liu, Shawn Xiang Li, Dong Ni, Tianfu Wang. "Deep Learning in Medical Ultrasound Analysis: A Review". Engineering, 2019.

[paper]

Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng. "Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation". MICCAI, 2019.

[paper] [code]

Yi Wang, Haoran Dou, Xiaowei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, and Dong Ni. "Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound". IEEE TMI, 2019.

[paper]

Xu Wang, Xin Yang, Haoran Dou, Shengli Li, Pheng-Ann Heng and Dong Ni. "Joint Segmentation and Landmark Localization of Fetal Femur in Ultrasound Volumes". IEEE BHI Conference, 2019.

[paper]

Shujun Wang, Lequan Yu, Xin Yang, Chi-Wing Fu, and Pheng-Ann Heng. "Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation". IEEE TMI, 2019.

[paper]

/*2018*/

Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, and Pheng-Ann Heng. "Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation". Atrial Segmentation Challenge in STACOM, 2018.

[paper]

Cheng Bian, Xin Yang, Shen Zheng, Yu-An Liu, Reza Nezafat, Pheng-Ann Heng, and Yefeng Zheng. "Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation". Atrial Segmentation Challenge in STACOM, 2018.

[paper]

Xin Yang, Lequan Yu, Shengli Li, Huaxuan Wen, Dandan Luo, Cheng Bian, Jing Qin, Dong Ni, and Pheng-Ann Heng. "Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound". IEEE TMI, 2018.

[paper]

Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li, Dong Ni and Pheng-Ann Heng. "Generalizing Deep Models for Ultrasound Image Segmentation". MICCAI, 2018.

[paper] [code]

Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang, Tianfu Wang, Anhua Li, Dinggang Shen and Dong Ni. "Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound". MICCAI, 2018.

[paper]

Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu, Pheng-Ann Heng and Dong Ni. "Deep Attentional Features for Prostate Segmentation in Ultrasound". MICCAI, 2018.

[paper] [code]

Bernard, O., Lalande, A., Zotti, C., Cervenansky, F., Yang, X., Heng, P. A. and et al. "Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?". IEEE TMI, 2018.

[paper]

Xin Yang, Lequan Yu, Qi Dou, Jing Qin, and Pheng-Ann Heng. "Deep Convolutional Networks for Automated Volumetric Cardiovascular Image Segmentation: From a Design Perspective". Book Chapter:Cardiovascular Imaging and Image Analysis, 2018.

[paper][code 1] [code 2]

/*2017*/

Xin Yang, Lequan Yu, Shengli Li, Xu Wang, Na Wang, Jing Qin, Dong Ni, Pheng-Ann Heng. "Towards Automatic Semantic Segmentation in Volumetric Ultrasound" Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.(Oral Presentation)

[paper][Project Homepage] [code]

Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng. "Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets" Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.

[code] [paper]

Xin Yang, Cheng Bian, Lequan Yu, Dong Ni, Pheng-Ann Heng. "Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing" MICCAI Workshop on Multi-Modality Whole Heart Segmentation (MM-WHS), 2017 (Rank Second in CT segmentation).

[code] [paper]

Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng. "3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images" Medical Image Analysis (MedIA), 2017. (The journal version of MICCAI paper)

[code] [paper]

Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng. "Fine-grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images" Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017.

[paper]

Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng. "Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images" Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017.

[code] [paper] [Challenge website]

Guodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, and Guoyan Zheng. "3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images" MICCAI Workshop on MLMI, 2017.

[paper]

Lingyun Wu, Xin Yang, Shengli Li, Tianfu Wang, Pheng-Ann Heng, Dong Ni. "Cascaded Fully Convolutional Networks for Automatic Prenatal Ultrasound Image Segmentation" International Symposium on Biomedical Imaging (ISBI), 2017.

[paper]

/*2016*/

Lequan Yu, Xin Yang, Jing Qin, Pheng-Ann Heng. "3D FractalNet: Dense Volumetric Segmentation for Cardiovascular MRI Volumes" MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease (HVSMR), 2016 (Top Rank in Challenge).

[code] [paper][Challenge website]

/*2015*/

Hao Chen, Dong Ni, Jing Qin, Shengli Li, Xin Yang, Tianfu Wang, Pheng-Ann Heng. "Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks" IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 2015.

[paper]
/*2014*/

Dong Ni, Xin Yang, Xin Chen, Chien-Ting Chin, Siping Chen, Pheng-Ann Heng, Shengli Li, Jing Qin, Tianfu Wang. "Standard Plane Localization in Ultrasound by Radial Component Model and Selective Search" Ultrasound in Medicine & Biology (UMB), 2014.

[paper] [Demo Video]

Software

   
Pair. All-purpose Annotation Software.

[Download with code "fxoa"]

[Media News]

[YouTube Channel]

[BiliBili Channel]

PairCode. For Safe Annotation.

[Download for Free Trial]

[Media News]

[BiliBili Tutorial]

RobustMIA For Safety Benchmark in Medical Image Analysis.

[Register for Free Test]

[Media News]

[BiliBili Tutorial]

Honors & Awards

2021, Distinguished Reviewer Certificate (Bronze Level), IEEE Transactions on Medical Imaging (TMI)
2021, Shenzhen Peacock Plan, Shenzhen, China
2018, Overseas Research Attachment Programme for PhD Students (ORAP), CUHK, Hong Kong, China
2017, AAAI Scholarship, San Fransisco, USA
2017, MedIA-MICCAI'17 Best Paper Award
2017, Teaching Assistant of Merit, CUHK, Hong Kong, China
2014, Tencent Founder Innovative Scholarship, Tencent, China
2010, National Scholarship, China

Professional Activities

  • Membership:
    IEEE Student
    AAAI Student

  • Review Service:
    IEEE Transactions on Industrial Informatics (IEEE TII)
    IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)
    IEEE Transactions on Medical Imaging (IEEE TMI)
    IEEE Transactions on Biomedical Engineering (IEEE TBME)
    IEEE TMI Special Issue on COVID-19
    Medical Image Analysis (MedIA)
    Frontiers in Radiology-Artificial Intelligence in Radiology
    PLOS ONE
    Multimedia Systems
    Scientific Reports
    eBioMedicine
    Computer Methods and Programs in Biomedicine (CMPB)
    Ultrasonic Imaging (UI)
    IET Computer Vision
    Computational and Mathematical Methods in Medicine
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
    Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
    Program Committee of ICCV Workshop on Visual Recognition for Medical Images (VRMI), 2019
    Program Committee for ICCV Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD), 2021
    Program Committee of Association for the Advancement of Artificial Intelligence (AAAI), 2020
    Program Committee of Association for the Advancement of Artificial Intelligence (AAAI), 2021
    Program Committee of Association for the Advancement of Artificial Intelligence (AAAI), 2022
    Referee of IEEE International Symposium on Biomedical Imaging (ISBI), 2021
    Referee of IEEE International Symposium on Biomedical Imaging (ISBI), 2022
    Referee of IEEE International Symposium on Biomedical Imaging (ISBI), 2023
    PC Member and Reviewer for the Workshop on Machine Learning in Medical Imaging (MLMI), MICCAI 2021
    PC Member and Reviewer for the Workshop on Machine Learning in Medical Imaging (MLMI), MICCAI 2022
    Reviewer for the International Workshop on Advances in Simplifying Medical Ultrasound (ASMUS), MICCAI 2022
    Reviewer for the Conference on Computer Vision and Pattern Recognition, CVPR 2023

  • Grant

    2021.01-2021.12SZU Top Ranking Project, Shenzhen University, China. RMB 200,000.
    2021.01-2022.12Shenzhen Science and Technology Innovation Committee Program (Class A), Shenzhen, China. RMB 200,000.
    2022.01-2024.12National Natural Science Foundation of China, China. RMB 300,000.

    Peer Collaborators

    Name Collaboration Institution Development
    Lingyun Wu in Shenzhen University AI Engineer in Sensetime
    Na Wang in Shenzhen University AI Engineer in Sensetime
    Xu Wang in Shenzhen University AI Engineer in Raysightmed
    Cheng Bian in Shenzhen University AI Researcher in Bytedance
    Haoran Dou in Shenzhen University Ph.D. in University of Leeds
    Kaini Wang in Southeast University Ph.D. in Southeast University
    Juzheng Miao in Southeast University Ph.D. in The Chinese University of Hongkong
    Haoming Li in Shenzhen University Ph.D. in Zhejiang University
    Wenlong Shi in Shenzhen University RayShape Medical Technology
    Ran Li in Shenzhen University RayShape Medical Technology
    Rui Li in Shenzhen University RayShape Medical Technology
    Xindi Hu in Nanjing Medical University RayShape Medical Technology
    Junxiong Yu in Shenzhen University AI Engineer in Mindray
    Yuhao Huang in Shenzhen University Ph.D. in Shenzhen University
    Jiamin Liang in Shenzhen University Algorithm Engineer in Siemens
    Mingyuan Luo in Shenzhen University Ph.D. in Shenzhen University
    Zhendong Liu in Shenzhen University AI Engineer in Raysightmed
    Shuangchi He in Shenzhen University AI Engineer in iFLYTEK
    Chaoyu Chen in Shenzhen University Ph.D. in Shenzhen University
    Jian Wang in Shenzhen University Ph.D. in Nanjing Medical University
    Xiaoqiong Huang in Shenzhen University Edge Medical Robotic
    Xue Shuang in Shenzhen University Edan Instruments Inc.
    Yuxin Zou in Shenzhen University United Imaging
    Yan Cao in Shenzhen University RayShape Medical Technology
    Xiduo Lu in Shenzhen University RayShape Medical Technology
    Jin Wang in Zhejiang Provincial People’s Hospital Zhejiang Provincial People’s Hospital
    Han Zhou in Shenzhen University RayShape Medical Technology
    Lian Liu in Shenzhen University RayShape Medical Technology

    Teaching

    2023-2024SpringC Program Design and Practice
    2023-2024FallC++ Program Design and Practice
    2022-2023SpringC Program Design and Practice
    2022-2023FallC++ Program Design and Practice
    2021-2022SpringC Program Design and Practice
    2021-2022FallC++ Program Design and Practice
    2020-2021SpringC Program Design and Practice
    2017-2018SpringENGG1110 Problem Solving By Programming
    2017-2018FallCSCI3260 Principles of Computer Graphics
    2016-2017SpringENGG1410 Linear Algebra and Vector Calculus for Engineers
    2016-2017FallCSCI3260 Principles of Computer Graphics
    2015-2016SpringCSCI3170 Introduction to Database Systems
    2015-2016FallCSCI3160 Design and Analysis of Algorithms

    Supervised Undergraduate Students

    05/2021-NowJiongtong HuDept. of Biomedical Engineering, Shenzhen Univ.
    05/2021-08/2021Yuqi LiDept. of Biomedical Engineering, Shenzhen Univ.
    05/2021-08/2021Yuxuan ZhangDept. of Biomedical Engineering, Shenzhen Univ.
    10/2021-NowJunxuan YuDept. of Biomedical Engineering, Shenzhen Univ.
    10/2021-NowJiongquan ChenDept. of Biomedical Engineering, Shenzhen Univ.
    12/2021-12/2022Chengkang GanDept. of Nursing, Shenzhen Univ. (Co-supervised with Prof. Dong Ni)
    11/2021-05/2022Chenrui WangDept. of Nursing, Shenzhen Univ.
    12/2021-NowLinyu YangDept. of Biomedical Engineering, Shenzhen Univ.
    01/2022-01/2023Baili ChenDept. of Science & Technology, Beijing Normal Univ. & Hong Kong Baptist Univ. (UIC)
    07/2022-12/2022Qiming HuangData Science & Big Data Tech., Xi’an Jiaotong-Liverpool Univ. (XJTLU)
    08/2022-NowQiongying NiDept. of Biomedical Engineering, Shenzhen Univ.
    08/2022-03/2024Zhirong GuoDept. of Biomedical Engineering, Shenzhen Univ.
    09/2022-NowYongsong ZhouDept. of Biomedical Engineering, Shenzhen Univ.
    09/2022-03/2024Yujia LinDept. of Biomedical Engineering, Shenzhen Univ.
    09/2022-04/2024Ronghao YangDept. of Biomedical Engineering, Shenzhen Univ.
    09/2022-NowJiezhi YaoDept. of Biomedical Engineering, Shenzhen Univ.
    10/2023-NowHe SuiDept. of Computer Science & Engineering, Southern Univ. of Science and Technology
    07/2023-NowJiongliang LinDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowZikang WuDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowQisi LinDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowCanming JiangDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowLuoyan GuanDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowShuai LiDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowYufeng ChenDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowShuyi DuDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowLuping ZhouDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowYutong ZhongDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowJianguo LiDept. of Biomedical Engineering, Shenzhen Univ.
    07/2023-NowZhigang WangDept. of Biomedical Engineering, Shenzhen Univ.
    12/2023-NowBinghan LiDept. of Biomedical Engineering, Shenzhen Univ.
    05/2024-NowJiongjun HeDept. of Biomedical Engineering, Shenzhen Univ.

    Hello World!

    © Xin Yang | Last updated: 3-March-2022