Xi Chen
Orcid: 0000-0002-3577-3308Affiliations:
- Department of Computer Science, University of Bath, Bath, UK
- University of Cambridge, Department of Physics, Cavendish Astrophysics Group, UK (PhD 2016)
According to our database1,
Xi Chen
authored at least 29 papers
between 2011 and 2024.
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Bibliography
2024
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction.
Comput. Medical Imaging Graph., 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
IEEE Trans. Medical Imaging, November, 2023
Comput. Vis. Image Underst., January, 2023
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
CoRR, 2021
BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification.
CoRR, 2021
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma.
CoRR, 2021
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
CoRR, 2020
2019
Improving the efficiency and robustness of nested sampling using posterior repartitioning.
Stat. Comput., 2019
CoRR, 2019
2017
Fast GPU-Based Seismogram Simulation From Microseismic Events in Marine Environments Using Heterogeneous Velocity Models.
IEEE Trans. Computational Imaging, 2017
2015
Digit. Signal Process., 2015
2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Probabilistic initiation and termination for MEG multiple dipole localization using sequential Monte Carlo methods.
Proceedings of the 16th International Conference on Information Fusion, 2013
2011
Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011