Lin Zhang Portrait

Lin Zhang

I am a research associate within the Hamlyn Centre for Robotic Surgery, Imperial College London. My PhD was accomplished in the Hamlyn Centre where I was advised by Prof. Guang-Zhong Yang. My research interests include surgical vision, robotic surgery, visual servoing, image-guided intervention and machine learning.

2013-2017

Imperial College London

PhD in Computer Science

2012-2013

Imperial College London

MRes in Medical Robotics and Image Guided Intervention (Distinction)

2011-2012

Imperial College London

MSc in Computing Science (Distinction)

2008-2011

University of Central Lancashire

BEng in Electronic Engineering (1st class)

2018

Y. Hu, L. Zhang (equal contribution), W. Li, G.-Z. Yang, "Robotic Sewing and Knot Tying for Personalized Stent Graft Manufacturing" IEEE International Conference on Intelligent Robots and Systems―IROS 2018. Video Best Application Award Finalist

Y. Gu, Y. Hu, L. Zhang, J. Yang, G.-Z. Yang, "Cross-scene Suture Thread Parsing for Robot Assisted Anastomosis based on Joint Representation Learning" IEEE International Conference on Intelligent Robots and Systems―IROS 2018.

M. Grammatikopoulou, L. Zhang, G.-Z. Yang, "Depth Estimation of Optically Transparent Microrobots Using Convolutional and Recurrent Neural Networks " IEEE International Conference on Intelligent Robots and Systems―IROS 2018.

2017

L. Zhang, R. Merrifield, A. Deguet, G.-Z. Yang, "Powering the world's robots -- 10 years of ROS" Science Robotics. 2017. Link

Z. Zhang, L. Zhang, G.-Z. Yang, "A computationally efficient method for hand–eye calibration" International Journal of Computer Assisted Radiology and Surgery. 2017. PDF

M. Grammatikopoulou, L. Zhang, G.-Z. Yang, "Depth Estimation of Optically Transparent Laser-Driven Microrobots" IEEE International Conference on Intelligent Robots and Systems―IROS 2017. PDF

L. Zhang, M. Ye, S. Giannarou, P. Pratt, G.-Z. Yang, "Motion-Compensated Autonomous Scanning for Tumour Localisation using Intraoperative Ultrasound" International Conference on Medical Image Computing and Computer-Assisted Intervention―MICCAI 2017. PDF, Video

L. Zhang, M. Ye, P. Giataganas, M. Hughes, A. Bradu, A. Podoleanu, G.-Z. Yang, "From Macro to Micro: Autonomous Multiscale Image Fusion for Robotic Surgery" IEEE Robotics and Automation Magazine. 2017. PDF

L. Zhang, M. Ye, C. Chan, G.-Z. Yang, "Real-Time Surgical Tool Tracking and Pose Estimation using a Hybrid Cylindrical Marker" International Journal of Computer Assisted Radiology and Surgery. 2017. PDF, Code

L. Zhang, M. Ye, P. Giataganas, M. Hughes, G.-Z. Yang, "Autonomous Scanning for Endomicroscopic Mosaicing and 3D Fusion" IEEE International Conference on Robotics and Automation―ICRA 2017. PDF

2016

L. Zhang, M. Ye, C. Chen, G.-Z. Yang, "Autonomous Ultrasound Scanning for Intraoperative Tumour Localisation and Diagnosis" Hamlyn Symposium on Medical Robotics 2016. PDF Best Oral Presentation Runner-up

M. Ye, L. Zhang, S. Giannarou, G.-Z. Yang, "Real-Time 3D Tracking of Articulated Tools for Robotic Surgery" International Conference on Medical Image Computing and Computer-Assisted Intervention―MICCAI 2016. PDF

2015

P. Pratt , A. Hughes-Hallett, L. Zhang, N. Patel, E. Mayer, A. Darzi, G.-Z. Yang, "Autonomous Ultrasound-Guided Tissue Dissection" International Conference on Medical Image Computing and Computer-Assisted Intervention―MICCAI 2015.

2014

L. Zhang, S.-L. Lee, G.-Z. Yang, G. Mylonas, "Semi-autonomous navigation for robot assisted tele-echography using generalized shape models and co-registered RGB-D cameras" IEEE International Conference on Intelligent Robots and Systems―IROS 2014.

International Conference on Intelligent Robots and Systems 2018

Best Application Award Finalist

Surgical Robot Challenge 2016

Best Video Prize

Surgical Robot Challenge 2015

Best Application Prize

Hamlyn Symposium 2016

Best Paper Runner-up

IRCAD B.E.S.T Innovation Course 2015

Best Presentation Group Project

China Scholarship Council and Imperial Scholarship

ADDRESS

5th Floor, Bessemer Building, South Kensington Campus, Imperial College London, UK SW7 2AZ