Liang Chen

According to our database, Liang Chen authored at least 16 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Enhancing MR image segmentation with realistic adversarial data augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2022

2021

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

CoRR, 2021

2020

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation.

Aydan Gasimova, Gavin Seegoolam, Liang Chen, Paul Bentley, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Realistic Adversarial Data Augmentation for MR Image Segmentation.

Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Self-supervised learning for medical image analysis using image context restoration.

Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert

Medical Image Anal., 2019

Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning.

Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

2018

Machine learning in medical image analysis.

Liang Chen

PhD thesis, 2018

DRINet for Medical Image Segmentation.

Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert

IEEE Trans. Medical Imaging, 2018

A large margin algorithm for automated segmentation of white matter hyperintensity.

Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert

Pattern Recognit., 2018

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks.

Christopher Bowles, Liang Chen, Ricardo Guerrero, Paul Bentley, Roger N. Gunn, Alexander Hammers, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert

CoRR, 2018

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection.

Jo Schlemper, Ozan Oktay, Liang Chen, Jacqueline Matthew, Caroline L. Knight, Bernhard Kainz, Ben Glocker, Daniel Rueckert

CoRR, 2018

2017

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.

Tong Tong, Qinquan Gao, Ricardo Guerrero, Christian Ledig, Liang Chen, Daniel Rueckert

IEEE Trans. Biomed. Eng., 2017

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion.

Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert

Pattern Recognit., 2017

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.

Oskar Maier, Bjoern H. Menze, Janina von der Gablentz, Levin Häni, Mattias P. Heinrich, Matthias Liebrand, Stefan Winzeck, Abdul Basit, Paul Bentley, Liang Chen, Daan Christiaens, Francis Dutil, Karl Egger, Chaolu Feng, Ben Glocker, Michael Götz, Tom Haeck, Hanna-Leena Halme, Mohammad Havaei, Khan M. Iftekharuddin, Pierre-Marc Jodoin, et al.

Medical Image Anal., 2017

2015

Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease.

Tong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert

Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning.

Liang Chen, Tong Tong, Chin Pang Ho, Rajiv Patel, David A. Cohen, Angela C. Dawson, Omid Halse, Olivia Geraghty, Paul E. M. Rinne, Christopher J. White, Tagore Nakornchai, Paul Bentley, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015