Based on daily scans – such as MR images recorded by an MR-Linac ... algorithm verifies that the calculated dose distribution corresponds with that delivered to the actual patient anatomy. “The ...

This thesis shaped the landscape of efficient online adaptive MRI-guided prostate radiotherapy workflows on the 1.5 T MR-linac. The first part of the thesis introduced DeepDose, a physics-based deep ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

GitHub and Microsoft, GitHub’s corporate parent, are joining the steering committee for MCP, Anthropic’s standard for connecting AI models to the systems where data resides. The announcement ...

We use 3D invariant statistical moments as morphometric descriptors to quantify the shape of the 3D dose distribution. As this results in a very high number of potential predictors, we apply a ...

Abstract: Coded computing has received significant attention thanks to its advantage in alleviating the straggler effect in distributed computation framework ... To this end, we first model the end-to ...

Objectives: This study aimed to investigate the relationship between cumulative fluoroscopy dose and eye lens radiation dose among interventional radiologists, and to develop a predictive model to ...

Benchmark comparisons against the widely used cumulant method for computing 2DES signals are performed on small model systems, as well as the nile red molecule. We highlight the advantages of the ...

In this regard, coarse-grain (CG) models might represent a more feasible option. However, general coarse-grained force fields such as MARTINI do not explicitly account for noncovalent interactions, ...

This event will explore the deep and evolving connections between group theory, computability, and algorithms—a relationship that dates back to the foundational work of Max Dehn. Central to these ...