| Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy ML Terpstra, M Maspero, F d’Agata, B Stemkens, MPW Intven, ... Physics in Medicine & Biology 65 (15), 155015, 2020 | 49 | 2020 |
| Real-time 3D motion estimation from undersampled MRI using multi-resolution neural networks ML Terpstra, M Maspero, T Bruijnen, JJC Verhoeff, JJW Lagendijk, ... Medical physics, 2021 | 23 | 2021 |
| ⊥-loss: a symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning ML Terpstra, M Maspero, A Sbrizzi, CAT van den Berg Medical Image Analysis 80, 102509, 2022 | 13 | 2022 |
| Quantitative evaluation of dense skeletons for image compression J Wang, M Terpstra, J Kosinka, A Telea Information 11 (5), 274, 2020 | 8 | 2020 |
| Accelerated respiratory‐resolved 4D‐MRI with separable spatio‐temporal neural networks ML Terpstra, M Maspero, JJC Verhoeff, CAT van den Berg Medical physics 50 (9), 5331-5342, 2023 | 7 | 2023 |
| Adaguc open source visualization utilized in the knmi geoweb project M Plieger, E de Vreede, M Terpstra, W van Moosel, J van de Vegte EGU General Assembly Conference Abstracts, 17245, 2018 | 2 | 2018 |
| SynthRAD2023 Challenge design: Synthesizing computed tomography for radiotherapy A Thummerer, E Huijben, M Terpstra, OJ Gurney-Champion, MV Afonso, ... University Medical Center Utrecht (UMCU), 2023 | 1 | 2023 |
| Reconstructing non-Cartesian acquisitions using dAUTOMAP ML Terpstra, F d’Agata, B Stemkens, JJW Lagendijk, CAT van den Berg, ... Procs ISMRM 28, 2020 | 1 | 2020 |
| Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report E Huijben, ML Terpstra, A Galapon Jr, S Pai, A Thummerer, P Koopmans, ... arXiv preprint arXiv:2403.08447, 2024 | | 2024 |
| Real-time MRI-guided radiotherapy with deep learning ML Terpstra Utrecht University, 2023 | | 2023 |
| Synthesizing computed tomography for radiotherapy: Structured description of the challenge design A Thummerer, E Huijben, M Terpstra, OJ Gurney-Champion, MV Afonso, ... University Medical Center Utrecht (UMCU), 2023 | | 2023 |
| O-008 Real-time estimation of 2D deformation vector fields from highly undersampled, dynamic k-space for MRI-guided radiotherapy using deep learning ML Terpstra, F d’Agata, B Stemkens, JJW Lagendijk, CAT van den Berg, ... ISMRM Benelux Chapter, 57-58, 2020 | | 2020 |
| Estimating 2D deformation vector fields from golden angle radial undersampled k-space using stacked convolutional neural networks ML Terpstra, F D'Agata, B Stemkens, JJW Lagendijk, CAT van den Berg, ... MR in RT Symposium, 17, 2019 | | 2019 |
| Hooking up forces to produce aesthetically pleasing graph layouts JF Kruiger, ML Terpstra 12th SC@ RUG 2014-2015, 63, 2014 | | 2014 |
| A generic framework for real-time 3D motion estimation from highly undersampled k-space using deep learning M Terpstra, M Maspero, T Bruijnen, J Verhoeff, J Lagendijk, ... | | |
| Rethinking complex image reconstruction:⟂-loss for improved complex image reconstruction with deep learning M Terpstra, M Maspero, J Lagendijk, CAT van den Berg | | |
| Real-time estimation of 2D deformation vector fields from highly undersampled, dynamic k-space for MRI-guided radiotherapy using deep learning ML Terpstra, F d'Agata, B Stemkens, JJW Lagendijk, CAT van den Berg, ... | | |
