Ultrasound Signal Processing: From Models to Deep Learning

no code implementations • 9 Apr 2022 • Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun

We aim to inspire the reader to further research in this area, and to address the opportunities within the field of ultrasound signal processing.

Deep Proximal Learning for High-Resolution Plane Wave Compounding

no code implementations • 23 Dec 2021 • Nishith Chennakeshava, Ben Luijten, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun

Plane Wave imaging enables many applications that require high frame rates, including localisation microscopy, shear wave elastography, and ultra-sensitive Doppler.

Inductive Bias Vocal Bursts Intensity Prediction

Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging

no code implementations • 15 Aug 2019 • Iris A. M. Huijben, Bastiaan S. Veeling, Kees Janse, Massimo Mischi, Ruud J. G. van Sloun

Compressed sensing emerged as a popular framework for sparse signal reconstruction from a small set of compressed measurements.

Super-resolution Ultrasound Localization Microscopy through Deep Learning

no code implementations • 20 Apr 2018 • Ruud J. G. van Sloun, Oren Solomon, Matthew Bruce, Zin Z. Khaing, Hessel Wijkstra, Yonina C. Eldar, Massimo Mischi

This method, which we term Deep Ultrasound Localization Microscopy (Deep-ULM), exploits modern deep learning strategies and employs a convolutional neural network to perform localization microscopy in dense scenarios.

Super-Resolution