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Robust Skeletonization for Plant Root Structure Reconstruction from MRI., , , , , and . ICPR, page 10689-10696. IEEE, (2020)Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize., , and . ICLR, OpenReview.net, (2021)Fast Fluid Simulations in 3D with Physics-Informed Deep Learning., , and . CoRR, (2020)Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs., , , and . CoRR, (2021)Approaching Partial Differential Equations with Physics-Driven Deep Learning. University of Bonn, Germany, (2023)base-search.net (ftunivbonn:oai:bonndoc.ulb.uni-bonn.de:20.500.11811/11184).Unsupervised Deep Learning of Incompressible Fluid Dynamics., , and . CoRR, (2020)Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models., , and . CoRR, (2023)Complex Valued Gated Auto-encoder for Video Frame Prediction., , and . ESANN, (2019)3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution., , , , and . ESANN, page 463-468. (2020)Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs., , , and . AAAI, page 8529-8538. AAAI Press, (2022)