Chao Li

According to our database, Chao Li authored at least 13 papers between 2019 and 2022.

Collaborative distances:

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

2022

Multi-modal learning for predicting the genotype of glioma.

Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li

CoRR, 2022

Predicting conversion of mild cognitive impairment to Alzheimer's disease.

Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li

CoRR, 2022

Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading.

Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li

CoRR, 2022

Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma.

Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Radiological tumour classification across imaging modality and histology.

Jia Wu, Chao Li, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei, Carola-Bibiane Schönlieb, Stephen John Price, David Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li

Nat. Mach. Intell., 2021

BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification.

Chao Li, Yiran Wei, Xi Chen

CoRR, 2021

Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma.

Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb

CoRR, 2021

Quantifying Structural Connectivity in Brain Tumor Patients.

Yiran Wei, Chao Li, Stephen J. Price

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.

Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb

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.

Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price

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.

Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients.

Yifan Li, Chao Li, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen

CoRR, 2020

2019

GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions.

Pan Liu, Chao Li, Carola-Bibiane Schönlieb

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019