Deep Convolutional Neural Network for Inverse Problems in Imaging

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Items 201–300 of 1,000

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10. Deep Unfolding for Snapshot Compressive Imaging
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11. Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences
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19. A Deep Learning-Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging
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26. Interpolation and Denoising of Seismic Data using Convolutional Neural Networks
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27. Equivariant Imaging: Learning Beyond the Range Space
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30. Low-dose CT restoration via stacked sparse denoising autoencoders
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31. Recurrent inference machines for reconstructing heterogeneous MRI data
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32. Two-Stage Convolutional Neural Network for Medical Noise Removal via Image Decomposition
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38. Deep Embedding-Attention-Refinement for Sparse-View CT Reconstruction
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39. Deep variational network for rapid 4D flow MRI reconstruction
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40. EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss
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41. Solving inverse problems using conditional invertible neural networks
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42. MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction
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43. CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging
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47. A Deep Collaborative Framework for Face Photo–Sketch Synthesis
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50. Applications of Artificial Intelligence in the Radiology Roundtrip: Process Streamlining, Workflow Optimization, and Beyond
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51. 3D deep encoder–decoder network for fluorescence molecular tomography
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52. Joint Inversion of Audio-Magnetotelluric and Seismic Travel Time Data With Deep Learning Constraint
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53. Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
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54. Deep Bayesian inversion
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62. Iterative Residual Optimization Network for Limited-Angle Tomographic Reconstruction
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63. Machine learning guided rapid focusing with sensor-less aberration corrections
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64. Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)
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65. Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19
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67. Adversarial Regularizers in Inverse Problems
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68. GAP-net for Snapshot Compressive Imaging
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69. Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation
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70. Deep Learning 3D Sparse Inversion of Gravity Data
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72. Numerical solution of inverse problems by weak adversarial networks
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