roman-zeleznik — 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

IMIA awarded an AIM article as best of the year

Our article "Deep learning for lung cancer prognostication" was selected by IMIA as one of the best articles of the year.

newsai medicineSeptember 18, 20192019ahmed-hosny, hugo-aerts, raymond-mak, roman-zeleznik, ai, radiation-oncology

Deep Learning Predicts Cancer Treatment Response

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

Deep Learning for Lung Cancer Prognostication

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