Xi Chen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 25

Top Topics

Unsupervised Learning

Filtering Method

Brain Connectivity

Survival Prediction

Top Venues

BrainLes@MICCAI (1)

Publications

Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction. Comput. Medical Imaging Graph. 116 (2024)
Ye Mao, Lan Jiang, Xi Chen, Chao Li
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution. MICCAI (10) (2023)
Lan Jiang, Ye Mao, Xiangfeng Wang, Xi Chen, Chao Li
CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis. MICCAI (10) (2023)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping. CMMCA@MICCAI (2023)
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
Multi-Modal Learning for Predicting the Genotype of Glioma. IEEE Trans. Medical Imaging 42 (11) (2023)
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation. ISBI (2023)
Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories. ISBI (2023)
Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma. ISBI (2022)
Xiao Gong, Xi Chen, Zhangdui Zhong, Wei Chen
Enhanced Few-Shot Learning for Intrusion Detection in Railway Video Surveillance. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
Multi-modal learning for predicting the genotype of glioma. CoRR (2022)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma. BrainLes@MICCAI (1) (2021)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma. CoRR (2021)
Jack Millichamp, Xi Chen
Brain-inspired feature exaggeration in generative replay for continual learning. CoRR (2021)
Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks. CoRR (2021)
Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification. DGM4MICCAI/DALI@MICCAI (2021)
Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks. BrainLes@MICCAI (1) (2021)
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. CoRR (2021)
Yifan Li, Chao Li, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients. CoRR (2020)
Xiao Gong, Xi Chen, Wei Chen
Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance. CoRR (2020)
Xi Chen, Mike Hobson
Bayesian surrogate learning in dynamic simulator-based regression problems. CoRR (2019)
Xi Chen, Michael P. Hobson, Saptarshi Das, Paul Gelderblom
Improving the efficiency and robustness of nested sampling using posterior repartitioning. Stat. Comput. 29 (4) (2019)
Xi Chen, Farhan Feroz, Michael P. Hobson
Bayesian automated posterior repartitioning for nested sampling. CoRR (2019)
Saptarshi Das, Xi Chen, Michael P. Hobson
Fast GPU-Based Seismogram Simulation from Microseismic Events in Marine Environments Using Heterogeneous Velocity Models. CoRR (2017)
Saptarshi Das, Xi Chen, Michael P. Hobson
Fast GPU-Based Seismogram Simulation From Microseismic Events in Marine Environments Using Heterogeneous Velocity Models. IEEE Trans. Computational Imaging 3 (2) (2017)
Xi Chen, Simo Särkkä, Simon J. Godsill
A Bayesian particle filtering method for brain source localisation. Digit. Signal Process. 47 (2015)
Xi Chen, Simo Särkkä, Simon J. Godsill
Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods. FUSION (2013)
Xi Chen, Simon J. Godsill
Multiple dipolar sources localization for MEG using Bayesian particle filtering. ICASSP (2013)
Andrea Edelstein, Xi Chen, Yunpeng Li, Michael G. Rabbat
RSS-based node localization in the presence of attenuating objects. ICASSP (2011)
Yunpeng Li, Xi Chen, Mark Coates, Bo Yang
Sequential Monte Carlo Radio-Frequency tomographic tracking. ICASSP (2011)
Xi Chen, Andrea Edelstein, Yunpeng Li, Mark Coates, Michael G. Rabbat, Aidong Men
Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. IPSN (2011)