6411 results in Communications and signal processing
1 - Formalizing Deep Neural Networks
- from Part I - Theory of Deep Learning for Image Reconstruction
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 3-12
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2 - Geometry of Deep Learning
- from Part I - Theory of Deep Learning for Image Reconstruction
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 13-27
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9 - k-Space Deep Learning for MR Reconstruction and Artifact Removal
- from Part II - Deep-Learning Architecture for Various Imaging Architectures
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 200-222
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Preface
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp xix-xxii
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Contents
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- Deep Learning for Biomedical Image Reconstruction
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11 - Ultrasound Image Artifact Removal using Deep Neural Networks
- from Part II - Deep-Learning Architecture for Various Imaging Architectures
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- Deep Learning for Biomedical Image Reconstruction
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Dedication
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- Deep Learning for Biomedical Image Reconstruction
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List of Contributors
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- Deep Learning for Biomedical Image Reconstruction
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13 - Regularizing Deep-Neural-Network Paradigm for the Reconstruction of Dynamic Magnetic Resonance Images
- from Part III - Generative Models for Biomedical Imaging
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 299-311
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15 - CryoGAN: A Deep Generative Adversarial Approach to Single-Particle Cryo-EM
- from Part III - Generative Models for Biomedical Imaging
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 325-342
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14 - Regularizing Neural Network for Phase Unwrapping
- from Part III - Generative Models for Biomedical Imaging
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 312-324
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Frontmatter
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- Deep Learning for Biomedical Image Reconstruction
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4 - Deep Algorithm Unrolling for Biomedical Imaging
- from Part I - Theory of Deep Learning for Image Reconstruction
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 53-86
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12 - Image Synthesis in Multi-Contrast MRI with Generative Adversarial Networks
- from Part III - Generative Models for Biomedical Imaging
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 279-298
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7 - Overview of the Deep-Learning Reconstruction of Accelerated MRI
- from Part II - Deep-Learning Architecture for Various Imaging Architectures
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 166-176
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5 - Deep Learning for CT Image Reconstruction
- from Part II - Deep-Learning Architecture for Various Imaging Architectures
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 89-113
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8 - Model-Based Deep-Learning Algorithms for Inverse Problems
- from Part II - Deep-Learning Architecture for Various Imaging Architectures
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 177-199
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10 - Deep Learning for Ultrasound Beamforming
- from Part II - Deep-Learning Architecture for Various Imaging Architectures
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 223-251
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Part I - Theory of Deep Learning for Image Reconstruction
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 1-2
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3 - Model-Based Reconstruction with Learning: From Unsupervised to Supervised and Beyond
- from Part I - Theory of Deep Learning for Image Reconstruction
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- Deep Learning for Biomedical Image Reconstruction
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- 12 October 2023, pp 28-52
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