Yueming Jin

Ph.D.

Rm 1024, Ho Sin-Hang Engineering Building
Dept. of Computer Science and Engineering
The Chinese University of Hong Kong
Shatin, N.T., Hong Kong

Email: ymjin5341 at gmail dot com


Biography [CV]

I am currently a final year (2018-2019) Ph.D. student in the Department of Computer Science and Engineering, The Chinese University of Hong Kong, supervised by Prof. Pheng-Ann Heng and Prof. Chi-Wing Fu. Previously, I received the B. Eng degree from Biomedical Engineering in Northeastern University in 2015.

My research interests include medical image computing, surgical robotic vision, deep learning. I am dedicated to bringing deep learning for complex time-series medical data analysis, applied primarily to endoscopy and robotic surgery.

News

Selected Publications [Google Scholar]

                           
Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video.
Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. (Oral)

[paper][code]
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 (MedIA), 2019.

[paper][code]
Deep Learning Automation for Head and Neck Radiotherapy Planning in Nasopharynx Cancer.
Li Lin, Qi Dou, Yueming Jin, Guanqun Zhou, Yiqiang Tang, Weilin Chen etc.
Radiology, 2019.

[paper]
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 (TMI), 2018.

[paper] [code]
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning.
Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.

[paper]
3D Deeply Supervised Network for Automated Segmentation of Volumetric Medical Images.
Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin, Pheng-Ann Heng.
Medical Image Analysis (MedIA), 2017. (MedIA-MICCAI'17 Best Paper Award)

[paper] [code]
Reconfigurable Interlocking Furniture.
Peng Song*, Chi-Wing Fu*, Yueming Jin, Hongfei Xu, Ligang Liu, Pheng-Ann Heng, Daniel Cohen-Or.
ACM Transactions on Graphics (ACM TOG), SIGGRAPH Asia, 2017.

[paper] [project] [video]

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes.
Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, Pheng-Ann Heng.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.

[paper]

Non-Local Sparse and Low-Rank Regularization for Structure-Preserving Image Smoothing.
Lei Zhu, Chi-Wing Fu, Yueming Jin, Mingqiang Wei, Jing Qin, Pheng-Ann Heng.
Computer Graphics Forum (special issue on Pacific Graphics), 2016.

[paper] [project]

Honors & Awards

Hong Kong PhD Fellowship, 2015-2019
MedIA-MICCAI'17 Best Paper Award, 2017
Champion, Surgical Workflow Challenge (MICCAI M2CAI 2016)
Teaching Assistant of Merit, 2016
Outstanding Graduates of Northeastern University, 2015
National Scholarship in China, 2013,2014

Professional Activities

  • Membership of IEEE, MICCAI, SIGGRAPH Society

  • Conference Reviews: MICCAI'19, MIDL’19, MICCAI’18

  • Journal Reviews: IEEE Access, SPIE Journal of Medical Imaging

    • Teaching

    2015-2016FallESTR2104 Digital Logic and Systems
    2015-2016SpringCSCI2100 Data Structures
    2016-2017FallCSCI3260 Principles of Computer Graphics
    2016-2017SpringCSCI2100 Data Structures
    2017-2018FallCSCI3260 Principles of Computer Graphics


    © Yueming Jin | Last updated: July 2019