Deep Learning for Fast Adaptive Beamforming. - Ben Luijten; Regev Cohen; Frederik J. de Bruijn; Harold A. W. Schmeitz; Massimo Mischi; Yonina C. Eldar; Ruud J. G. van Sloun (ICASSP, 2019)

Adaptive Ultrasound Beamforming Using Deep Learning. - Ben Luijten; Regev Cohen; Frederik J. de Bruijn; Harold A. W. Schmeitz; Massimo Mischi; Yonina C. Eldar; Ruud J. G. van Sloun (IEEE Trans. Medical Imaging, 2020)

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. - Subhankar Roy; Willi Menapace; Sebastiaan Oei; Ben Luijten; Enrico Fini; Cristiano Saltori; Iris A. M. Huijben; Nishith Chennakeshava; Federico Mento; Alessandro Sentelli; Emanuele Peschiera; Riccardo Trevisan; et al. (IEEE Trans. Medical Imaging, 2020)

Ultrasound Signal Processing: From Models to Deep Learning. - Ben Luijten; Nishith Chennakeshava; Yonina C. Eldar; Massimo Mischi; Ruud J. G. van Sloun (CoRR, 2022)

Deep Task-Based Analog-to-Digital Conversion. - Nir Shlezinger; Ariel Amar; Ben Luijten; Ruud J. G. van Sloun; Yonina C. Eldar (IEEE Trans. Signal Process., 2022)

Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging. - Ben Luijten; Boudewine W. Ossenkoppele; Nico de Jong; Martin D. Verweij; Yonina C. Eldar; Massimo Mischi; Ruud J. G. van Sloun (ICASSP, 2023)