Rudolf L. M. van Herten

According to our database, Rudolf L. M. van Herten authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Multimodal 3D Foundation Model for Light Sheet Fluorescence Microscopy Enables Few-Shot Segmentation, Classification, and Deblurring.

Adina Scheinfeld, Haotan Zhang, Shang Mu, Rudolf L. M. van Herten, Lucas Stoffl, Ali Ertürk, Zhuhao Wu, Johannes C. Paetzold

CoRR, May, 2026

2025

Attenuation artifact detection and severity classification in intracoronary OCT using mixed image representations.

Pierandrea Cancian, Simone Saitta, Xiaojin Gu, Rudolf L. M. van Herten, Thijs J. Luttikholt, Jos Thannhauser, Rick H. J. A. Volleberg, Ruben G. A. van der Waerden, Joske L. van der Zande, Clarisa I. Sánchez, Bram van Ginneken, Niels van Royen, Ivana Isgum

CoRR, March, 2025

World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography.

Rudolf L. M. van Herten, Ioannis Lagogiannis, Jelmer M. Wolterink, Steffen Bruns, Eva R. Meulendijks, Damini Dey, Joris R. de Groot, José P. Henriques, R. N. Planken, Simone Saitta, Ivana Isgum

Medical Image Anal., 2025

2024

Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction Using Mesh Priors.

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

IEEE Trans. Medical Imaging, April, 2024

Accelerating physics-informed neural fields for fast CT perfusion analysis in acute ischemic stroke.

Lucas de Vries, Rudolf Leonardus Mirjam van Herten, Jan W. Hoving, Ivana Isgum, Bart J. Emmer, Charles B. L. M. Majoie, Henk A. Marquering, Stratis Gavves

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration.

Louis D. van Harten, Rudolf Leonardus Mirjam van Herten, Ivana Isgum

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke.

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

Medical Image Anal., December, 2023

Generative Adversarial Networks for Coronary CT Angiography Acquisition Protocol Correction with Explicit Attenuation Constraints.

Rudolf Leonardus Mirjam van Herten, Louis D. van Harten, Nils Planken, Ivana Isgum

Proceedings of the Medical Imaging with Deep Learning, 2023

Deformable Image Registration with Geometry-informed Implicit Neural Representations.

Louis D. van Harten, Rudolf Leonardus Mirjam van Herten, Jaap Stoker, Ivana Isgum

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Physics-informed neural networks for myocardial perfusion MRI quantification.

Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell

Medical Image Anal., 2022