| Motion artifact reduction of magnetic resonance images with an adversarial trained network S Braun, B Mailhe, X Chen, BL Odry, P Ceccaldi, MS Nadar US Patent 10,698,063, 2020 | 25 | 2020 |
| Magnetic resonance imaging quality classification based on deep machine-learning to account for less training data S Braun, B Mailhe, X Chen, BL Odry, MS Nadar US Patent 10,991,092, 2021 | 9 | 2021 |
| Motion detection and quality assessment of MR images with deep convolutional densenets S Braun, X Chen, B Odry, B Mailhe, M Nadar Proc. ISMRM 2715, 2018 | 9 | 2018 |
| Wasserstein GAN for motion artifact reduction of MR images S Braun, P Ceccaldi, X Chen, B Odry, B Mailhe, M Nadar ISMRM, Paris, 2018 | 2 | 2018 |
| Image quality assessment system and method S Braun, X Lu, B Mailhe, BL Odry, X Chen, MS Nadar US Patent 10,713,785, 2020 | 1 | 2020 |
Boris MailhéSiemens HealthineersVerified email at siemens.com
