We organized a tutorial as part of MICCAI 2020. This tutorial serves as an introduction into the field of biomedical data fusion of imaging and non-imaging data.

Lina Qiu defended her thesis on "Imputation and predictive modeling with biomedical multi-scale data".

We developed a shallow convolutional neural network (CNN) model and evaluated this on multi-institutional data showing that LungNet outperforms radiomics features and clinical data when predicting overal survival.

We are developing a Digital Twin (DT) by integrating baseline multi-modal data and repeated measurements for real-time dynamic model training and updating.

Excited to work with Lucence to improve liver cancer diagnosis and treatment ! More info here.