Frederik J. de Bruijn - researchr alias

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Viewing Publication 1 - 8 from 8

2022

Deep Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular UltrasoundNishith Chennakeshava, Tristan S. W. Stevens, Frederik J. de Bruijn, Andrew Hancock, Martin Pekar, Yonina C. Eldar, Massimo Mischi, Ruud J. G. van Sloun. icassp 2022: 1221-1225 [doi]

Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement LearningTristan S. W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekar, Ruud J. G. van Sloun. icassp 2022: 1216-1220 [doi]

2020

Adaptive Ultrasound Beamforming Using Deep LearningBen Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun. tmi, 39(12):3967-3978, 2020. [doi]

2019

Deep Learning for Fast Adaptive BeamformingBen Luijten, Regev Cohen, Frederik J. de Bruijn, Harold A. W. Schmeitz, Massimo Mischi, Yonina C. Eldar, Ruud J. G. van Sloun. icassp 2019: 1333-1337 [doi]

2002

Efficient video coding integrating MPEG-2 and picture-rate conversionFrederik J. de Bruijn, Wilhelmus H. A. Bruls, Dzevdet Burazerovic, Gerard de Haan. tce, 48(3):688-693, 2002. [doi]

1998

Low-bitrate video coding with third order geometric transformationsCornells H. Slump, Marcel A. J. A. van Veen, Frederik J. de Bruijn. eusipco 1998: 1-4 [doi]

1997

Lossy cardiac x-ray image compression based on acquisition noiseFrederik J. de Bruijn, Cornelis H. Slump. miip 1997: [doi]

Assessment of image compression quality by means of quantitative coronary angiographyCornelis H. Slump, Paul Hagendoorn, Remke Rutgers, Frederik J. de Bruijn, Corstiaan J. Storm, Ad C. van Benthem. miip 1997: [doi]

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