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Ben Luijten
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2020 – today
- 2023
- [c2]Ben Luijten, Boudewine W. Ossenkoppele, Nico de Jong, Martin D. Verweij, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun:
Neural Maximum-a-Posteriori Beamforming for Ultrasound Imaging. ICASSP 2023: 1-5 - 2022
- [j3]Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. IEEE Trans. Signal Process. 70: 6021-6034 (2022) - [i2]Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. CoRR abs/2201.12634 (2022) - [i1]Ben Luijten, Nishith Chennakeshava, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun:
Ultrasound Signal Processing: From Models to Deep Learning. CoRR abs/2204.04466 (2022) - 2020
- [j2]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, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi:
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans. Medical Imaging 39(8): 2676-2687 (2020) - [j1]Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun:
Adaptive Ultrasound Beamforming Using Deep Learning. IEEE Trans. Medical Imaging 39(12): 3967-3978 (2020)
2010 – 2019
- 2019
- [c1]Ben Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun:
Deep Learning for Fast Adaptive Beamforming. ICASSP 2019: 1333-1337
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