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ORCIDRudolf L. M. van Herten
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2020 – today
- 2024
[j3]Rudolf L. M. van Herten
, Nils Hampe, Richard A. P. Takx, Klaas Jan Franssen, Yining Wang, Dominika Suchá, José P. Henriques, Tim Leiner, Nils Planken, Ivana Isgum:
Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction Using Mesh Priors. IEEE Trans. Medical Imaging 43(4): 1272-1283 (2024)- 2023
- [j2]Lucas de Vries, Rudolf L. M. van Herten, Jan W. Hoving, Ivana Isgum, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Efstratios Gavves:
Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke. Medical Image Anal. 90: 102971 (2023) - [c2]Louis D. van Harten, Rudolf Leonardus Mirjam van Herten, Jaap Stoker, Ivana Isgum:
Deformable Image Registration with Geometry-informed Implicit Neural Representations. MIDL 2023: 730-742 - [c1]Rudolf Leonardus Mirjam van Herten, Louis D. van Harten, Nils Planken, Ivana Isgum:
Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints. MIDL 2023: 1288-1303 - 2022
- [j1]Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell:
Physics-informed neural networks for myocardial perfusion MRI quantification. Medical Image Anal. 78: 102399 (2022) - 2020
- [i1]Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell:
Physics-informed neural networks for myocardial perfusion MRI quantification. CoRR abs/2011.12844 (2020)
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