On the design of an image compression scheme based upon a priori knowledge about imaging system and image statistics. - Cornelis H. Slump; Frederik J. de Bruijn; P. J. A. Hagendoorn (EUSIPCO, 1996)

Lossy cardiac x-ray image compression based on acquisition noise. - Frederik J. de Bruijn; Cornelis H. Slump (Image Processing, 1997)

Assessment of image compression quality by means of quantitative coronary angiography. - Cornelis H. Slump; Paul Hagendoorn; Remke Rutgers; Frederik J. de Bruijn; Corstiaan J. Storm; Ad C. van Benthem (Image Processing, 1997)

Low-bitrate video coding with third order geometric transformations. - Cornelis H. Slump; Marcel A. J. A. van Veen; Frederik J. de Bruijn (EUSIPCO, 1998)

Efficient video coding integrating MPEG-2 and picture-rate conversion. - Frederik J. de Bruijn; Wilhelmus H. A. Brüls; Dzevdet Burazerovic; Gerard de Haan (IEEE Trans. Consumer Electron., 2002)

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 Proximal Unfolding For Image Recovery from Under-Sampled Channel Data in Intravascular Ultrasound. - Nishith 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)

Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning. - Tristan S. W. Stevens; Nishith Chennakeshava; Frederik J. de Bruijn; Martin Pekar; Ruud J. G. van Sloun (ICASSP, 2022)