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Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation

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Reconstruct the Photoacoustic Image Based On Deep Learning with Multi-frequency Ring-shape Transducer Array

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Real‐time deep artifact suppression using recurrent U‐Nets for low‐latency cardiac MRI

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Deep MRI Reconstruction with Generative Vision Transformers

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Deep Manifold Learning for Dynamic MR Imaging

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3D in vivo dose verification in prostate proton therapy with deep learning-based proton-acoustic imaging

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PARCEL: Physics-Based Unsupervised Contrastive Representation Learning for Multi-Coil MR Imaging

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Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI

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A Deep Framework Assembling Principled Modules for CS-MRI: Unrolling Perspective, Convergence Behaviors, and Practical Modeling

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High-performance rapid MR parameter mapping using model-based deep adversarial learning

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Deep unregistered multi-contrast MRI reconstruction

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Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization

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SODAS-Net: Side-Information-Aided Deep Adaptive Shrinkage Network for Compressive Sensing

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Microwave SAIR Imaging Approach Based on Deep Convolutional Neural Network

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Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction

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Artificial Intelligence and Texture Analysis in Cardiac Imaging

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Fast MRI Reconstruction: How Powerful Transformers Are?

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Revisiting ℓ1-wavelet compressed-sensing MRI in the era of deep learning

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Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement

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FR-Net: Joint Reconstruction and Segmentation in Compressed Sensing Cardiac MRI

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Bi-Linear Modeling of Data Manifolds for Dynamic-MRI Recovery

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Automated Segmentation of the Vocal Folds in Laryngeal Endoscopy Videos Using Deep Convolutional Regression Networks

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MRI Image Reconstruction via Learning Optimization Using Neural ODEs

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On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks

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Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

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MR image reconstruction using densely connected residual convolutional networks

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Fast T2-weighted liver MRI: Image quality and solid focal lesions conspicuity using a deep learning accelerated single breath-hold HASTE fat-suppressed sequence

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Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous Data

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DSMENet: Detail and Structure Mutually Enhancing Network for under-sampled MRI reconstruction

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Deep dictionary-transform learning for image reconstruction

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Artificial Intelligence Explained for Nonexperts

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Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19

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Deep learning‐based cardiac cine segmentation: Transfer learning application to 7T ultrahigh‐field MRI

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An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset

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Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction

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Limitations of Deep Learning for Inverse Problems on Digital Hardware

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A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI

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McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction

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A Very Deep Densely Connected Network for Compressed Sensing MRI

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IKWI-net: A cross-domain convolutional neural network for undersampled magnetic resonance image reconstruction

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Superpixel Region Merging Based on Deep Network for Medical Image Segmentation

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Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction

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Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information

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DBGAN: A dual-branch generative adversarial network for undersampled MRI reconstruction

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SuperMAP: Deep ultrafast MR relaxometry with joint spatiotemporal undersampling

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Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling

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Compressed sensing plus motion (CS + M): A new perspective for improving undersampled MR image reconstruction

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Neural Architecture Search for compressed sensing Magnetic Resonance image reconstruction

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Accelerated Cine Cardiac MRI Using Deep Learning‐Based Reconstruction: A Systematic Evaluation

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DC-SiamNet: Deep contrastive Siamese network for self-supervised MRI reconstruction

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A deep unrolled neural network for real-time MRI-guided brain intervention

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Deep Learning Superresolution for Simultaneous Multislice Parallel Imaging–Accelerated Knee MRI Using Arthroscopy Validation

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Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI

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Neural Network-Based Reconstruction in Compressed Sensing MRI Without Fully-Sampled Training Data

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High quality and fast compressed sensing MRI reconstruction via edge-enhanced dual discriminator generative adversarial network

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Evaluation on the generalization of a learned convolutional neural network for MRI reconstruction

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Fast Real-Time Cardiac MRI: a Review of Current Techniques and Future Directions

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