Qualifications
- Senior Research Fellow, University College London, May 2021 – Jan 2023
- PhD., The Chinese University of Hong Kong, Aug 2015 – Jul 2019
Research Interest
- Artificial Intelligence, Machine Learning, Robotic Surgical Data Science, Biomedical Image Analysis, etc.
- I am dedicated to the interdisciplinary researches at artificial intelligence for robotic surgical data science and biomedical image analysis. I have expertise in machine learning, especially deep learning, for dynamic robotic surgical video computing and high dimensional medical data perception.
- I recently work on spatial-temporal representation learning, data efficient learning, multi-modality learning, 3D surgical vision. I am aiming at developing AI assistant for surgical education, surgical navigation and senior care.
Selected Awards and Honors
- Best Paper Award in Medical Robotics at ICRA 2021
- Best Paper Award at Medical Image Analysis-MICCAI 2017
- Young Scientist Publication Impact Award Finalist at MICCAI 2021
- Young Scientist Award Runner Up at MICCAI 2016
- NIH Awards at MICCAI 2020
- Winner of MICCAI SimSurgSkill Challenge on Objective Surgical Skills Assessment 2021
- Winner of MICCAI ROBUST-MIS Challenge on Multi-instance Segmentation 2019
- Winner of MICCAI EndoVis Surgical Workflow Challenge on Phase Segmentation 2019
- Winner of MICCAI M2CAI Surgical Workflow Challenge 2016
- Teaching Assistant of Merit 2016
- Hong Kong PhD Fellowship (the highest scholarship for postgraduate in Hong Kong) 2015-2019
Selected Publications
- SV-RCNet: Workflow Recognition from Surgical Videos using Recurrent Convolutional Network Yueming Jin, Qi Dou, Hao Chen, Lequan Yu, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng IEEE Transactions on Medical Imaging, 2018.
- Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov IEEE Transactions on Medical Imaging, 2022.
- Temporal Memory Relation Network for Workflow Recognition from Surgical Video Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng IEEE Transactions on Medical Imaging, 2021.
- Real-time Landmark Detection for Precise Endoscopic Submucosal Dissection via Shape-aware Relation Network Jiacheng Wang*, Yueming Jin*, Shuntian Cai, Pheng-Ann Heng, Jing Qin, Liansheng Wang Medical Image Analysis, 2021.
- Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng Medical Image Analysis, 2020.
- Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma Li Lin, Qi Dou, Yueming Jin, Guanqun Zhou, Yiqiang Tang, Weilin Chen, Bao-An Su, Feng Liu, Changjuan Tao, Ning Jiang, Junyun Li, Linglong Tang, Chuanmiao Xie, Shaoming Huang, Pheng-Ann Heng, Jun Ma, Joseph Wee, Melvin Chua, Hao Chen, Ying Sun Radiology, 2019.
- Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng. “Incorporating temporal prior from motion flow for instrument segmentation in minimally invasive surgery video.” In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 440-448. Springer, Cham, 2019. (Oral)
- Personalizing Federated Medical Image Segmentation via Local Calibration, Jiacheng Wang*, Yueming Jin*, Liansheng Wang, European Conference on Computer Vision (ECCV), 2022
Selected Professional Services
- Area Chair of MICCAI’23, IPCAI’23
- Session Chair of ICRA’21
- Organization Committee of ICLRW’23, MICCAIW’23, MICCAIC’23
- Regular reviewer for the conferences MICCAI, CVPR, ICCV, ECCV, ICRA, IROS, AAAI, etc
- Reviewer for the journals IEEE TMI, MedIA, Nature Communications Medicine, Medical Physics, International Journal of Surgery, etc