Deep Convolutional Neural Network for Inverse Problems in Imaging

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43. A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data
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44. Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
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45. One network to solve all ROIs: Deep learning CT for any ROI using differentiated backprojection
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46. Convolutional neural network-based approach to estimate bulk optical properties in diffuse optical tomography
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47. ADAPTIVE-NET: deep computed tomography reconstruction network with analytical domain transformation knowledge
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48. Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth
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49. Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties
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53. Unrolled Convolutional Neural Network for Full-Wave Inverse Scattering
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54. Motion artifact reduction for magnetic resonance imaging with deep learning and k-space analysis
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55. Traditional and deep-learning-based denoising methods for medical images
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59. LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space
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