| Physics-informed neural networks for myocardial perfusion MRI quantification RLM van Herten, A Chiribiri, M Breeuwer, M Veta, CM Scannell Medical Image Analysis 78, 102399, 2022 | 36 | 2022 |
| Automated cardiovascular risk categorization through AI-driven coronary calcium quantification in cardiac PET acquired attenuation correction CT SGM van Velzen, MM Dobrolinska, P Knaapen, RLM van Herten, ... Journal of Nuclear Cardiology 30 (3), 955-969, 2023 | 5 | 2023 |
| Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke L de Vries, RLM van Herten, JW Hoving, I Išgum, BJ Emmer, ... Medical image analysis 90, 102971, 2023 | 1 | 2023 |
| Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors RLM Van Herten, N Hampe, RAP Takx, KJ Franssen, Y Wang, D Suchá, ... IEEE Transactions on Medical Imaging, 2023 | 1 | 2023 |
| Deep learning-based prediction of fractional flow reserve after invasive coronary artery treatment N Hampe, SGM Van Velzen, JP Aben, RLM van Herten, C Collet, I Išgum Medical Imaging 2024: Image Processing 12926, 100-107, 2024 | | 2024 |
| Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke L de Vries, RLM Van Herten, JW Hoving, I Isgum, B Emmer, CB Majoie, ... Medical Imaging with Deep Learning, 2024 | | 2024 |
| REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration L van Harten, RLM Van Herten, I Isgum Medical Imaging with Deep Learning, 2024 | | 2024 |
| Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints RLM Van Herten, L van Harten, N Planken, I Isgum Medical Imaging with Deep Learning, 1288-1303, 2024 | | 2024 |
| Deformable Image Registration with Geometry-informed Implicit Neural Representations L van Harten, RLM Van Herten, J Stoker, I Isgum Medical Imaging with Deep Learning, 730-742, 2024 | | 2024 |
