borek-foldyna — content — AIM

DeepCAC: Deep learning Pipeline to predict heart disease.

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

techai medicineFebruary 8, 20212021ai, hugo-aerts, roman-zeleznik, udo-hoffmann, michael-lu, borek-foldyna, jakob-weiss

Deep learning prediction of heart disease

In Nature Comm, we show that deep learning can automatically predict cardiovascular events.

publicationai medicineJanuary 29, 20212021ai, hugo-aerts, roman-zeleznik, udo-hoffmann, michael-lu, borek-foldyna, jakob-weiss

DeepHeart: Deep learning based heart segmentation

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

tech, publicationai medicineJanuary 4, 20212021ai, hugo-aerts, roman-zeleznik, udo-hoffmann, michael-lu, borek-foldyna, jakob-weiss

EurekAlert highlights our study about imaging-AI

EurekAlert from AAAS covers our study about cardiovascular risk predictions using AI.

Study from AIM selected as best of RSNA

At the annual meeting, a study about AI for cardiovascular risk prediction was awarded.

newsai medicineNovember 1, 20192019hugo-aerts, ai, udo-hoffmann, roman-zeleznik, jakob-weiss, michael-lu, borek-foldyna

Research