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| Neural Vector Tomography for Reconstructing a Magnetization Vector Field | Dec 13, 2024 | Tomographic Reconstructions | —Unverified | 0 |
| Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks | Apr 29, 2024 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model | Feb 13, 2023 | Computational EfficiencyDeep Learning | —Unverified | 0 |
| Physics-informed neural networks for diffraction tomography | Jul 28, 2022 | Tomographic Reconstructions | —Unverified | 0 |
| WNet: A data-driven dual-domain denoising model for sparse-view computed tomography with a trainable reconstruction layer | Jul 1, 2022 | DecoderDenoising | —Unverified | 0 |
| SHREC 2021: Classification in cryo-electron tomograms | Mar 18, 2022 | ClassificationElectron Tomography | —Unverified | 0 |
| Accelerated iterative tomographic reconstruction with x-ray edge illumination | Feb 17, 2022 | Tomographic Reconstructions | —Unverified | 0 |
| Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom | Nov 12, 2020 | Computed Tomography (CT)Tomographic Reconstructions | —Unverified | 0 |
| A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance | Aug 14, 2020 | AnatomyTomographic Reconstructions | —Unverified | 0 |
