Chao Li
Orcid: 0000-0002-0734-0011Affiliations:
- University of Cambridge, Department of Clinical Neuroscience, Department of Applied Mathematics and Theoretical Physics, UK
- University of Dunde, School of Science and Engineering, School of Medicin, UK
According to our database1,
Chao Li
authored at least 27 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Online presence:
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Bibliography
2025
SIAM J. Math. Data Sci., 2025
2024
CoRR, 2024
Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images.
Comput. Medical Imaging Graph., 2024
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction.
Comput. Medical Imaging Graph., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2024
2023
IEEE Trans. Medical Imaging, November, 2023
CoRR, 2023
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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
CoRR, 2022
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
CoRR, 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
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
Nat. Mach. Intell., 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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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
2019
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019