| Deep learning-based single image super-resolution for low-field MR brain images ML de Leeuw den Bouter, G Ippolito, TPA O’Reilly, RF Remis, ... Scientific Reports 12 (1), 6362, 2022 | 32 | 2022 |
| Conjugate gradient variants for -regularized image reconstruction in low-field MRI ML de Leeuw den Bouter, MB van Gijzen, RF Remis SN Applied Sciences 1 (12), 1736, 2019 | 15 | 2019 |
| Low-field magnetic resonance imaging using multiplicative regularization ML den Bouter, M van Gijzen, R Remis Magnetic Resonance Imaging 75, 21-33, 2021 | 3 | 2021 |
| Description of a Low-field MRI Scanner Based on Permanent Magnets. ML den Bouter, D Gecmen, A Meijer, D de Gans, L Middelplaats, R Remis, ... CVCS, 2020 | 3 | 2020 |
| Image reconstruction in low field MRI: a super-resolution approach ML den Bouter, M van Gijzen, A Webb, R Remis Image, 00G32, 2017 | 3 | 2017 |
| Machine learning for image analysis in the cervical spine: Systematic review of the available models and methods CMW Goedmakers, LM Pereboom, JW Schoones, MLL den Bouter, ... Brain and Spine 2, 101666, 2022 | 1 | 2022 |
| Inversion of incomplete spectral data using support information with an application to magnetic resonance imaging MLL den Bouter, PM Van den Berg, RF Remis Journal of Physics Communications 5 (5), 055006, 2021 | 1 | 2021 |
| Joint iterative image reconstruction and field map estimation in low field MRI K Koolstra, ML den Bouter, T O'Reilly, P Börnert, R Remis, M van Gijzen, ... Proceedings of the 27th Annual Meeting of ISMRM, Montreal, Canada, 2019 | 1 | 2019 |
| CGME for general-form regularization with an application to low-field MRI MLL den Bouter, MB van Gijzen, RF Remis Delft University of Technology, 2018 | 1 | 2018 |
| Image reconstruction in low-field MRI: a super-resolution approach ML De Leeuw den Bouter | 1 | 2017 |
| Deep Learning on Preoperative Radiographs for Clinical Success Prediction after Surgery for Cervical Degenerative Disease C Goedmakers, L Pereboom, ML den Bouter, R Remis, M Staring, ... Brain and Spine 3, 101842, 2023 | | 2023 |
| Image Reconstruction for Low-Field MRI MLL den Bouter | | 2022 |
| Image Reconstruction for Low-Field MRI ML de Leeuw den Bouter | | 2022 |
| CG variants for general-form regularization with an application to low-field MRI ML de Leeuw den Bouter, MB van Gijzen, RF Remis Numerical Mathematics and Advanced Applications ENUMATH 2019: European …, 2020 | | 2020 |
| Correcting image distortions caused by gradient nonlinearities in low-field MRI using a neural network ML den Bouter, M van Gijzen, R Remis ESMRMB 2020: 37th Annual Scientific Meeting, 2020 | | 2020 |
| Description of a low-field MRI scanner based on permanent magnets ML de Leeuw den Bouter, D Gecmen, A Meijer, DH de Gans, ... CVCS 2020 Colour and Visual Computing Symposium 2020 Proceedings of the 10th …, 2020 | | 2020 |
| Super-resolution image reconstruction for inexpensive mri ML den Bouter, R Remis, M van Gijzen, A Webb Siam Conference on Imaging Science: SIAM IS 18, 2018 | | 2018 |
| Spin swap and exchange coupling in a quantum dot array ML De Leeuw den Bouter | | 2014 |
| SPIN SWAP AND EXCHANGE COUPLING IN A QUANTUM DOT ARRAY MLL den Bouter | | |
| Brain and Spine CMW Goedmakers, LM Pereboom, JW Schoones, MLL den Bouter, ... | | |
