Liang Chen

About Me (CV)

I am a final-year PhD student in the BioMedIA Group at Imperial College London, supervised by Prof. Daniel Rueckert and Dr. Paul Bentley. My research focuses on medical image analysis, computer vision, and machine learning. I have been a research assistant jointly in the Department of Computing and the Division of Brain Sciences, Department of Medicine at Imperial College London since 2014.

In 2013, I obtained an MSc degree with Distinction from the Department of Computing, Imeprial College London. In 2012, I received a BSc degree from the School of Mathematics and Statistics, Nanjing Universify of Information Science and Technology.

Selected Publications [ Google Scholar ]

DRINet for Medical Image Segmentation
L. Chen, P. Bentley, K. Mori, K. Misawa, M. Fujiwara and D. Rueckert
IEEE Transactions on Medical Imaging, 2018.
A generic CNN architecture for medical image segmentation
[ Paper ] [ Code ]

Rapid Automated Quantification of Cerebral Leukoaraiosis on CT Images: A Multicenter Validation Study
L. Chen, A.L.C. Jones, G. Mair, R. Patel, A. Gontsarova, J. Ganesalingam, N. Math, A. Dawson, B. Aweid, D. Cohen, A. Mehta, J. Wardlaw, D. Rueckert, and P. Bentley
Radiology, 2018.
Small vessel disease lesion segmentation on clinical CT images
[ Paper ] [ Imperial News ] [ RSNA News ]

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
L. Chen, P. Bentley and D. Rueckert
NeuroImage: Clinical, 15:633-643, 2017.
A framework for acute ischemia segmentation in DWI
[ Paper ] [ Code ]

Identication of cerebral small vessel disease using multiple instance learning
L. Chen, T. Tong, C.P. Ho, R. Patel, D. Cohen, A.C. Dawson, O. Halse, O. Geraghty, P. Rinne, C.J. White, T. Nakornchai, P. Bentley and D. Rueckert
MICCAI, 2015.
CT-based small vessel disease identification
[ Paper ] [ CT brain template in MNI space and SVD map]