Chao Li

57 papers A 1Journal 28Unranked 25
YearRankTypeTitle / Venue / Authors
2026 — ed.
Computational Mathematics Modeling in Cancer Analysis - 4th International Workshop, CMMCA 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings
CMMCA@MICCAI
Chao Li, Wenjian Qin, Jia Wu, Nazar Zaki
2026 J jnl
Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration.
CoRR
Jianwei Chen, Zhengyang Miao, Wenjie Cai, Jiaxue Tang, Boxing Liu, Yunfan Zhang, Yuhang Yang, Hao Tang, Carola-Bibiane Schönlieb, Zaixu Cui, Du Lei, Shouliang Qi, Chao Li
2025 — conf
Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling.
MICCAI (1)
Ningfeng Que, Xiaofei Wang, Jingjing Chen, Yixuan Jiang, Chao Li
2025 — ed.
Computational Mathematics Modeling in Cancer Analysis - Third International Workshop, CMMCA 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
CMMCA@MICCAI
Jia Wu, Wenjian Qin, Chao Li, Boklye Kim
2025 J jnl
Disentangled Multi-modal Learning of Histology and Transcriptomics for Cancer Characterization.
CoRR
Yupei Zhang, Xiaofei Wang, Anran Liu, Lequan Yu, Chao Li
2025 — conf
HaDM-ST: Histology-Assisted Differential Modeling for Spatial Transcriptomics Generation.
CMMCA@MICCAI
Xuepeng Liu, Zheng Jiang, Pinan Zhu, Hanyu Liu, Chao Li
2025 — conf
Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma.
CMMCA@MICCAI
Haotian Tang, Jianwei Chen, Xinrui Tang, Yunjia Wu, Zhengyang Miao, Chao Li
2025 J jnl
Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis.
Neural Networks
Xu Tian, Hong-Dong Li, Hanhe Lin, Chao Li, Yu-Ping Wang, Harrison X. Bai, Wei Lan, Jin Liu
2025 J jnl
Interpretable Multimodal Cancer Prototyping with Whole Slide Images and Incompletely Paired Genomics.
CoRR
Yupei Zhang, Yating Huang, Wanming Hu, Lequan Yu, Hujun Yin, Chao Li
2025 J jnl
Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation.
SIAM J. Math. Data Sci.
Chaoyu Liu, Zhonghua Qiao, Chao Li, Carola-Bibiane Schönlieb
2025 J jnl
Joint Modelling Histology and Molecular Markers for Cancer Classification.
CoRR
Xiaofei Wang, Hanyu Liu, Yupei Zhang, Boyang Zhao, Hao Duan, Wanming Hu, Yonggao Mou, Stephen Price, Chao Li
2025 J jnl
Joint modeling histology and molecular markers for cancer classification.
Medical Image Anal.
Xiaofei Wang, Hanyu Liu, Yupei Zhang, Boyang Zhao, Hao Duan, Wanming Hu, Yonggao Mou, Stephen Price, Chao Li
2025 — conf
OG-SAM: Enhancing Multi-organ Segmentation with Organogenesis-Based Adaptive Modeling.
CMMCA@MICCAI
Xidong Wu, Hao Chen, Zhuoyuan Li, Chao Li
2025 — conf
Score-Based Diffusion Model for Unpaired Virtual Histology Staining.
CMMCA@MICCAI
Anran Liu, Xiaofei Wang, Jing Cai, Chao Li
2025 J jnl
Score-based Diffusion Model for Unpaired Virtual Histology Staining.
CoRR
Anran Liu, Xiaofei Wang, Jing Cai, Chao Li
2024 — conf
Cross-Modal Diffusion Modelling for Super-Resolved Spatial Transcriptomics.
MICCAI (3)
Xiaofei Wang, Xingxu Huang, Stephen Price, Chao Li
2024 J jnl
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics.
CoRR
Xiaofei Wang, Xingxu Huang, Stephen J. Price, Chao Li
2024 — conf
D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks.
MICCAI (2)
Haoyu Hu, Hongrun Zhang, Chao Li
2024 — conf
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation.
CMMCA@MICCAI
Hao Chen, Hongrun Zhang, U. Wang Chan, Rui Yin, Xiaofei Wang, Chao Li
2024 — conf
Genomics-Guided Representation Learning for Pathologic Pan-Cancer Tumor Microenvironment Subtype Prediction.
MICCAI (3)
Fangliangzi Meng, Hongrun Zhang, Ruodan Yan, Guohui Chuai, Chao Li, Qi Liu
2024 J jnl
Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images.
Comput. Medical Imaging Graph.
Luyu Tang, Songhui Diao, Chao Li, Miaoxia He, Kun Ru, Wenjian Qin
2024 — conf
Knowledge-Driven Subspace Fusion and Gradient Coordination for Multi-modal Learning.
MICCAI (4)
Yupei Zhang, Xiaofei Wang, Fangliangzi Meng, Jin Tang, Chao Li
2024 J jnl
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning.
CoRR
Yupei Zhang, Xiaofei Wang, Fangliangzi Meng, Jin Tang, Chao Li
2024 J jnl
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction.
Comput. Medical Imaging Graph.
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2024 — conf
Phy-Diff: Physics-Guided Hourglass Diffusion Model for Diffusion MRI Synthesis.
MICCAI (2)
Juanhua Zhang, Ruodan Yan, Alessandro Perelli, Xi Chen, Chao Li
2024 — conf
Spatiotemporal Graph Neural Network Modelling Perfusion MRI.
MICCAI (2)
Ruodan Yan, Carola-Bibiane Schönlieb, Chao Li
2024 J jnl
Spatiotemporal Graph Neural Network Modelling Perfusion MRI.
CoRR
Ruodan Yan, Carola-Bibiane Schönlieb, Chao Li
2024 — conf
Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology.
CMMCA@MICCAI
Huahui Yi, Xiaofei Wang, Kang Li, Chao Li
2024 J jnl
Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology.
CoRR
Huahui Yi, Xiaofei Wang, Kang Li, Chao Li
2023 J jnl
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis.
CoRR
Lan Jiang, Ye Mao, Xi Chen, Xiangfeng Wang, Chao Li
2023 — conf
CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis.
MICCAI (10)
Lan Jiang, Ye Mao, Xiangfeng Wang, Xi Chen, Chao Li
2023 — ed.
Computational Mathematics Modeling in Cancer Analysis - Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
CMMCA@MICCAI
Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang, Chao Li
2023 J jnl
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution.
CoRR
Ye Mao, Lan Jiang, Xi Chen, Chao Li
2023 — conf
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution.
MICCAI (10)
Ye Mao, Lan Jiang, Xi Chen, Chao Li
2023 — conf
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation.
ISBI
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Lipei Zhang, Jianguo Zhang, Stephen J. Price, Carola-Bibiane Schönlieb
2023 — conf
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping.
CMMCA@MICCAI
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2023 J jnl
Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks.
CoRR
Chaoyu Liu, Zhonghua Qiao, Chao Li, Carola-Bibiane Schönlieb
2023 J jnl
Multi-Modal Learning for Predicting the Genotype of Glioma.
IEEE Trans. Medical Imaging
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2023 — conf
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma.
MICCAI (7)
Xiaofei Wang, Stephen Price, Chao Li
2023 J jnl
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma.
CoRR
Xiaofei Wang, Stephen Price, Chao Li
2023 — conf
Predicting Conversion of Mild Cognitive Impairment to Alzheimer's Disease by Modelling Healthy Ageing Trajectories.
ISBI
Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2022 — conf
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma.
ISBI
Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
2022 J jnl
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma.
CoRR
Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
2022 J jnl
Multi-modal learning for predicting the genotype of glioma.
CoRR
Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
2022 J jnl
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
CoRR
Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
2022 A conf
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading.
BMVC
Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
2022 J jnl
Predicting conversion of mild cognitive impairment to Alzheimer's disease.
CoRR
Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
2021 — conf
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma.
BrainLes@MICCAI (1)
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2021 J jnl
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma.
CoRR
Yifan Li, Chao Li, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Xi Chen
2021 — conf
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification.
DGM4MICCAI/DALI@MICCAI
Chao Li, Yiran Wei, Xi Chen, Carola-Bibiane Schönlieb
2021 J jnl
BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification.
CoRR
Chao Li, Yiran Wei, Xi Chen
2021 J jnl
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma.
CoRR
Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb
2021 — conf
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks.
BrainLes@MICCAI (1)
Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
2021 J jnl
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks.
CoRR
Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
2021 — conf
Quantifying Structural Connectivity in Brain Tumor Patients.
MICCAI (7)
Yiran Wei, Chao Li, Stephen J. Price
2021 J jnl
Radiological tumour classification across imaging modality and histology.
Nat. Mach. Intell.
Jia Wu, Chao Li, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei, Carola-Bibiane Schönlieb, Stephen John Price, David A. Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li
2019 — conf
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions.
MICCAI (3)
Pan Liu, Chao Li, Carola-Bibiane Schönlieb