Generalizable synthetic MRI with physics-informed convolutional networks. - Luuk Jacobs; Stefano Mandija; Hongyan Liu 006; Cornelis A. T. van den Berg; Alessandro Sbrizzi; Matteo Maspero (CoRR, 2023)

Synthesizing Scalable CFD-Enhanced Aortic 4D Flow MRI for Assessing Accuracy and Precision of Deep-Learning Image Reconstruction and Segmentation Tasks. - Pietro Dirix; Luuk Jacobs; Stefano Buoso; Sebastian Kozerke (SASHIMI@MICCAI, 2024)

Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI. - Kyriakos Flouris; Moritz Halter; Yolanne Yi Ran Lee; Samuel Castonguay; Luuk Jacobs; Pietro Dirix; Jonathan Nestmann; Sebastian Kozerke; Ender Konukoglu (CoRR, 2025)