11 papers
zea: A Toolbox for Cognitive Ultrasound Imaging
Tristan S. W. Stevens, Wessel L. van Nierop, Ben Luijten +7
We present zea (pronounced ze-yah), a Python package for cognitive ultrasound imaging that offers a flexible, modular, and differentiable pipeline for ultrasound data processing. A…
Nuclear Diffusion Models for Low-Rank Background Suppression in Videos
Tristan S. W. Stevens, OisÃn Nolan, Jean-Luc Robert +1
Video sequences often contain structured noise and background artifacts that obscure dynamic content, posing challenges for accurate analysis and restoration. Robust principal comp…
Task-Based Adaptive Transmit Beamforming for Efficient Ultrasound Quantification
OisÃn Nolan, Wessel L. van Nierop, Louis D. van Harten +2
Wireless and wearable ultrasound devices promise to enable continuous ultrasound monitoring, but power consumption and data throughput remain critical challenges. Reducing the numb…
Anomalous Change Point Detection Using Probabilistic Predictive Coding
Roelof G. Hup, Julian P. Merkofer, Alex A. Bhogal +3
Change point detection (CPD) and anomaly detection (AD) are essential techniques in various fields to identify abrupt changes or abnormal data instances. However, existing methods…
Strategies to Minimize Out-of-Distribution Effects in Data-Driven MRS Quantification
Julian P. Merkofer, Antonia Kaiser, Anouk Schrantee +2
This study systematically compared data-driven and model-based strategies for metabolite quantification in magnetic resonance spectroscopy (MRS), focusing on resilience to out-of-d…
Semantic Diffusion Posterior Sampling for Cardiac Ultrasound Dehazing
Tristan S. W. Stevens, OisÃn Nolan, Ruud J. G. van Sloun
Echocardiography plays a central role in cardiac imaging, offering dynamic views of the heart that are essential for diagnosis and monitoring. However, image quality can be signifi…