A new study presented at the Medical Imaging with Deep Learning (MIDL) conference explores how active learning can be combined with the self-configuring nnUNet architecture to reduce annotation effort in…
We are happy to announce that the paper "Coronary Artery Calcium Score Predicts Major Adverse Cardiovascular Events in Stable Chest Pain" by Federico Biavati, Luca Saba, and their collaborators has…
A recent secondary analysis from the CORE320 study, published in Radiology (Dec 2024, doi: 10.1148/radiol.240299), demonstrates that quantitative flow ratio derived from coronary CT angiography (CT-QFR) is a significant independent…
A new interdisciplinary study led by Uta Wilkens (Ruhr-Universität Bochum) in collaboration with Valentin Langholf and Marc Dewey (Charité – Berlin) investigates how healthcare professionals perceive and adapt to AI-based…
How cardiac CT avoids unnecessary interventions - focus on research by AG Dewey. We are delighted that the work of the AG Dewey at the Charité is featured in the…
In a new textbook chapter, Marc Dewey and Marc Kachelrieß provide a concise overview of the fundamentals of X-ray computed tomography (CT), with a focus on acquisition techniques and image…
A newly published open-access study introduces a multi-task deep-learning model for automated segment-level coronary artery calcium (CAC) scoring on non-contrast CT. The work, led by Marc Dewey and co-authored by…
Cutting-edge cardiac imaging and standardization consensus at the 3rd Quantitative Cardiovascular Imaging (QCI) Meeting on September 6th, 2024 in Berlin. It was amazing to welcome world-renowned speakers in all disciplines…
Whose idea was that anyway? Because it was great! Wonderful weather, the gentle lapping of the water, good-humored colleagues and even a slave driver on the drum, who gave us…
We warmly congratulate Moritz Gross and the team on the publication of their important study in Gastrointestinal Radiology, which presents an innovative, fully automated machine learning framework to predict survival…
