We took advantage of a large cohort of Chinese PCR-confirmed COVID19 patients to embark on a biomedical data fusion project to triage COVID19 patients.

RNA sequencing has emerged as a promising approach in cancer prognosis as RNA sequencing becomes more easily and affordable.

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.