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Yuting He  何宇霆

Post-doctoral Fellow

Rm 2602, Academic Building,
The Hong Kong University of Science and Technology
Clear Water Bay, Kowloon, Hong Kong

Email: csyutingh [AT] ust [DOT] hk

 Google Scholar   Github   ResearchGate   Curriculum Vitae 

Biography

I am currently a post-doctoral fellow in the CSE department, HKUST, working with Hao Chen. Before that, I achieved my Ph.D. from Southeast university supervised by Guanyu Yang. I was a visiting student at Western University supervised by Shuo Li and Boyu Wang.

Drawing upon biomedical informatics, computer vision, and deep learning, my research focuses on developing novel methodologies to learn more efficient extraction of knowledge in medical information for computer-aided diagnosis, surgery, and medical imaging. In addition to 2 Chinese patents, I has published 22 peer-reviewed journal/conference articles, including CVPR, ECCV, TNNLS, MedIA, TIP, J-BHI, IJCAI, MICCAI, and IPMI. I was the organizer of the MICCAI-KiPA22 challenge, and provided professional service for J-BHI, CVPR in 2021-2024, ICCV in 2021-2023, MICCAI in 2020-2022, AAAI in 2022-2024, and NeruIPS in 2023.

News

  • [2024.10] An imaging foundation model, TAMP, has been relaesed. It can achieve universal enhancement for any non-ideal mensurement CT images.
  • [2024.04] A survey about healthcare foundation models has been relaesed. This survey is "Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions"
  • [2023.12] I have graduated from Southeast University! My PhD thesis is "Data-Efficient Learning Algorithm in Medical Image Segmentation" (in Chinese).
  • [2023.12] 1 papers has been accepted by J-BHI 2023
  • [2023.11] I achieved the Bao Gang Outstanding Student Award which is one of the top educational scholarships in China (Only 500 students in China each year)
  • [2023.11] Our paper "Segment Anything in Medical Images" has been formally accepted by Nature Communications (Impact Factor: 17.0) [code]
  • [2023.09] 1 papers has been accepted by ICCV 2023
  • [2023.06] 2 papers has been accepted by MICCAI 2023
  • [2023.02] 1 paper has been accepted by CVPR 2023
  • [2023.02] 1 paper has been accepted by JBHI
  • [2023.02] 1 paper has been accepted by KBS
  • [2022.08] 1 paper has been accepted by TNNLS
  • [2022.06] MICCAI 2022 KiPA challenge is in full swing.
  • [2022.06] 4 papers are accepted by MICCAI 2022.
  • [2022.05] 1 paper is accepted by IJCAI
  • [2021.10] 1 paper is accepted by TIP

Awards and Honors

  • 2023, Bao Gang Outstanding Student Award (宝钢优秀学生奖, 500 students in China each year)
  • 2021, 2023, National Scholarship
  • 2023, Merit student of Jiangsu Province
  • 2022, Southeast University Good Youth Award (东大好青年, 10 students in SEU each year)
  • 2022, Southeast University Graduate Student of the Year (正·青年, 10 graduated students in SEU each year)
  • 2019-2021, Merit student of Southeast University
  • 2020, Southeast University Doctoral Freshman Award

Selected Publications [Google Scholar]

☆ Foundation and Pre-training Models for Biomedical Data

Imaging foundation model for universal enhancement of non-ideal measurement CT.

Yuxin Liu, Rongjun Ge, Yuting He* (Correspinding author), Zhan Wu, Chenyu You, Shuo Li, Yang Chen*
Preprint
 Preprint  | Paper  | Code  | Bibtex  | Dataset  | Model zoo 

Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions.

Yuting He, Fuxiang Huang, Xinrui Jiang, Yuxiang Nie, Minghao Wang, Jiguang Wang, Hao Chen.
Preprint
 Preprint  | Paper  | Awesome repository  | Bibtex  | 中译版 

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training.

Yuting He, Guanyu Yang, Rongjun Ge, Yang Chen, Jean-Louis Coatrieux, Boyu Wang, Shuo Li.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (Travel Award)
 CVPR 2023  | Paper  | Code  | Poster  | Slide  | Homepage  | Bibtex  | 中译版 

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training.

Xiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li, Guanyu Yang.
International Conference on Medical Image Computing and Computer-Assisted Intervention
 MICCAI 2023  | Paper  | Code  | Poster  | Bibtex 

Segment Anything in Medical Images.

Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, Bo Wang.
Nature Communication [In Press]
 Nat. Comm 2023  | Paper  | Code 

☆ Representation- and Annotation-Efficient Biomedical Image Analysis

Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.

Yuting He, Rongjun Ge, Xiaoming Qi, Yang Chen, Jiasong Wu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li.
IEEE transactions on neural networks and learning systems
 IEEE T-NNLS 2022  | Paper  | Code  | Slide  | Bibtex  | 中译版  | 中文解读 

Few-shot Learning for Deformable Medical Image Registration with Perception-Correspondence Decoupling and Reverse Teaching.

Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong, Jian Zhu, Huazhong Shu, Guanyu Yang, Shuo Li.
IEEE Journal of Biomedical and Health Informatics
 IEEE J-BHI 2022  | Paper  | Code  | Slide  | Bibtex  | 中译版 

Deep complementary joint model for complex scene registration and few-shot segmentation on medical images.

Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li.
European Conference on Computer Vision
 ECCV 2020  | Paper  |Code | Slide  | Bibtex 

Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint.

Yaolei Qi, Han Xu, Yuting He, Guanyu Li, Zehang Li, Youyong Kong, Jean-Louis Coatrieux, Huazhong Shu, Guanyu Yang, Shengxian Tu.
IEEE Transactions on Image Processing
 IEEE T-IP 2021  | Paper  | Code  | Bibtex 

Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.

Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, Shuo Li.
IEEE International Conference on Data Mining
 ICDM 2021  | Paper  | Code  | Bibtex 

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention.

Jiacheng Shi, Yuting He, Youyong Kong, Jean-Louis Coatrieux, Huazhong Shu, Guanyu Yang, Shuo Li.
International Conference on Medical Image Computing and Computer-Assisted Intervention
 MICCAI 2022  | Paper  | Code  | Bibtex 

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation.

Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Guanyu Yang, Shuo Li.
International Joint Conference on Artificial Intelligence
 IJCAI 2022  | Paper  | Code 

☆ AI-assisted Surgery/Diagnosis/Prognosis

Meta grayscale adaptive network for 3D integrated renal structures segmentation.

Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Huazhong Shu, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li.
Medical Image Analysis
 MedIA 2021  | Paper  | Data (KiPA22 Challenge)  | Bibtex 

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.

Yuting He, Guanyu Yang*, Jian Yang, Yang Chen, Youyong Kong, Jiasong Wu, Lijun Tang, Xiaomei Zhu, Jean-Louis Dillenseger, Pengfei Shao, Shaobo Zhang, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li.
Medical Image Analysis
 MedIA 2020  | Paper  | Code  | Poster  | Slide  | MICCAI2019 version  | Bibtex 

Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT.

Guanyu Yang#, Yuting He# (Equal contribution), Yang Lv, Yang Chen, Jean-Louis Coatrieux, Xiaoxuan Sun, Qiang Wang, Yongyue Wei, Shuo Li, and Yinsu Zhu.
IEEE Journal of Biomedical and Health Informatics
 IEEE J-BHI 2023  | Paper  | Code  | Slide (Chinese)  | Bibtex 

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.

Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li.
International Conference on Information Processing in Medical Imaging
 IPMI 2021  | Paper  | Poster  | Bibtex 

CPNet: cycle prototype network for weakly-supervised 3D renal compartments segmentation on CT images.

Song Wang#, Yuting He# (Equal contribution), Youyong Kong, Xiaomei Zhu, Shaobo Zhang, Pengfei Shao, Jean-Louis Dillenseger, Jean-Louis Coatrieux, Shuo Li, Guanyu Yang.
International Conference on Medical Image Computing and Computer-Assisted Intervention
 MICCAI 2021  | Paper  | Bibtex 

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