Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. - Liang Chen 018; Tong Tong 001; 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; et al. (MICCAI (1), 2015)

Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease. - Tong Tong 001; Katherine R. Gray; Qinquan Gao; Liang Chen 018; Daniel Rueckert (MLMI, 2015)

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 007; Paul Bentley; Liang Chen 018; Daan Christiaens; Francis Dutil; et al. (Medical Image Anal., 2017)

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion. - Tong Tong 001; Katherine R. Gray; Qinquan Gao; Liang Chen 018; Daniel Rueckert (Pattern Recognit., 2017)

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease. - Tong Tong 001; Qinquan Gao; Ricardo Guerrero; Christian Ledig; Liang Chen 018; Daniel Rueckert (IEEE Trans. Biomed. Eng., 2017)

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection. - Jo Schlemper; Ozan Oktay; Liang Chen 018; Jacqueline Matthew; Caroline L. Knight; Bernhard Kainz; Ben Glocker; Daniel Rueckert (CoRR, 2018)

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks. - Christopher Bowles; Liang Chen 018; Ricardo Guerrero; Paul Bentley; Roger N. Gunn; Alexander Hammers; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (CoRR, 2018)

A large margin algorithm for automated segmentation of white matter hyperintensity. - Chen Qin; Ricardo Guerrero; Christopher Bowles; Liang Chen 018; David Alexander Dickie; Maria del C. Valdés Hernández; Joanna M. Wardlaw; Daniel Rueckert (Pattern Recognit., 2018)

DRINet for Medical Image Segmentation. - Liang Chen 018; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (IEEE Trans. Medical Imaging, 2018)

Machine learning in medical image analysis. - Liang Chen 018 (2018)

Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning. - Liang Chen 018; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (SASHIMI@MICCAI, 2019)

Self-supervised learning for medical image analysis using image context restoration. - Liang Chen 018; Paul Bentley; Kensaku Mori; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert (Medical Image Anal., 2019)

Realistic Adversarial Data Augmentation for MR Image Segmentation. - Chen Chen 042; Chen Qin; Huaqi Qiu; Cheng Ouyang; Shuo Wang 011; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (MICCAI (1), 2020)

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation. - Aydan Gasimova; Gavin Seegoolam; Liang Chen 018; Paul Bentley; Daniel Rueckert (MICCAI (7), 2020)

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

Enhancing MR image segmentation with realistic adversarial data augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Zeju Li; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 2022)

Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT. - Adam Marcus 003; Grant Mair; Liang Chen 018; Charles Hallett; Claudia Ghezzou Cuervas-Mons; Dylan Roi; Daniel Rueckert; Paul Bentley (npj Digit. Medicine, 2024)