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Abstract: Transient Hemodynamics Prediction using an Efficient Octree-based Deep Learning Model.

, , , , , , , , and . Bildverarbeitung für die Medizin, page 362. Springer, (2024)

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Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets., , , , , , , , , and . ISBI, page 1-5. IEEE, (2023)Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT., , , , , , , , , and . CoRR, (2022)Optimizing CT Scan Geometries With and Without Gradients., , , , , , and . CoRR, (2023)Geometric Constraints Enable Self-Supervised Sinogram Inpainting in Sparse-View Tomography., , , , , , , and . CoRR, (2023)Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction., , , , , , , , , and 3 other author(s). CoRR, (2022)Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model., , , , , , , , and . IPMI, volume 13939 of Lecture Notes in Computer Science, page 183-194. Springer, (2023)Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets., , , , , , , , and . Bildverarbeitung für die Medizin, page 26. Springer, (2024)Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising., , , , , , , , , and 3 other author(s). IPMI, volume 13939 of Lecture Notes in Computer Science, page 771-782. Springer, (2023)Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images., , , , , , , , , and 1 other author(s). CoRR, (2024)Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising., , , , , , , , , and 3 other author(s). CoRR, (2022)