content — AIM

Nature Reviews Cancer published our opinion article on the application of artificial intelligence to image-based tasks in the field of radiology.

PLOS Medicine published our study exploring deep learning for predicting overall survival in lung cancer patients.

Our article about radiomics-genomic interactions in lung cancer was selected by IMIA as one of the best articles of the year.

Data Analysis Strategies in Medical Imaging

Clinical Cancer Research published our article outlining best practices for analyzing medical imaging data using AI.

We published about our computational system to quantify tumor characteristics on medical imaging.

eLife published our study revealing links between radiomic, genomic, and clinical data of lung cancer patients.

Decoding Tumour Phenotype in Cancer Imaging

Nature Communications published our study outlining the extraction of radiomic features from cancer imaging data.