We developed an AI model that can accurately predict distant metastases after treatment for lung cancer patients.

In Lancet Digital Health, we published a clinical validation of deep learning algorithms to target lung cancer tumors.

In this paper we demonstrate that deep learning applied to x-rays can be used as a new biomarker source.

In Cancer Cell, we published our perspective on the impact of AI in Clinical Oncology.

As Published in Nature Comm, we developed a deep learning pipeline to automatically predict cardiovascular events by quantifying coronary calcium on CT scans.

We developed several heart segmentation algorithms that work on gated and non-gated CT scans.

JAMA Network Open published our study about using deep learning to extract prognostic information from chest radiographs

Clinical Cancer Research published about deep learning applied to serial imaging to improve outcome predictions.

We used AI to quantify the radiographic phenotype of a tumor to predict IO response.