no code implementations • 19 Apr 2024 • Xiaofei Wang, Xingxu Huang, Stephen J. Price, Chao Li
However, current ST platforms suffer from low resolution, hindering in-depth understanding of spatial gene expression.
no code implementations • 21 Mar 2022 • Yiran Wei, Xi Chen, Lei Zhu, Lipei Zhang, Carola-Bibiane Schönlieb, Stephen J. Price, Chao Li
In this study, we propose a multi-modal learning framework using three separate encoders to extract features of focal tumor image, tumor geometrics and global brain networks.
no code implementations • 8 Mar 2022 • Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li
In this study, we develop a self-supervised contrastive learning approach to generate structural brain networks from routine anatomical MRI under the guidance of diffusion MRI.
no code implementations • 14 Jan 2022 • Yiran Wei, Chao Li, Xi Chen, Carola-Bibiane Schönlieb, Stephen J. Price
Further, the collaborative learning model achieves better performance than either the CNN or the GNN alone.
no code implementations • 4 Sep 2021 • Yiran Wei, Yonghao Li, Xi Chen, Carola-Bibiane Schönlieb, Chao Li, Stephen J. Price
Here we propose a method to predict IDH mutation using GNN, based on the structural brain network of patients.
no code implementations • 21 Jan 2021 • Chao Li, Wenjian Huang, Xi Chen, Yiran Wei, Stephen J. Price, Carola-Bibiane Schönlieb
EMReDL showed to effectively segment the infiltrated tumor from the partially labelled region of potential infiltration.