Super‐resolution musculoskeletal MRI using deep learning

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Artificial intelligence powered advancements in upper extremity joint MRI: A review

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Deep learning based super‐resolution for CBCT dose reduction in radiotherapy

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Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images

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High-quality as-is 3D thermal modeling in MEP systems using a deep convolutional network

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Improving Quantitative Magnetic Resonance Imaging Using Deep Learning

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A Concise Review on Deep Learning for Musculoskeletal X-ray Images

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Deep learning reconstruction for fast cardiovascular magnetic resonance imaging protocol: A comparative study with conventional cardiovascular magnetic resonance

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Deep learning-enhanced super-resolution diffusion-weighted liver MRI: improved image quality, diagnostic performance, and acceleration

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Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement

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Clinical validation of enhanced CT imaging for distal radius fractures through conditional Generative Adversarial Networks (cGAN)

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Recent advances in highly accelerated 3D MRI

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Artificial Intelligence in Radiology

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Image quality improvement of single-shot turbo spin-echo magnetic resonance imaging of female pelvis using a convolutional neural network

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Unified Analysis Specific to the Medical Field in the Interpretation of Medical Images through the Use of Deep Learning

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Deep learning‐based harmonization of trabecular bone microstructures between high‐ and low‐resolution CT imaging

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Effective deep-learning brain MRI super resolution using simulated training data

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Faster Acquisition and Improved Image Quality of T2-Weighted Dixon Breast MRI at 3T Using Deep Learning: A Prospective Study

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Latent diffusion for arbitrary zoom MRI super-resolution

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Performance of a GPU- and time-efficient pseudo-3D network for magnetic resonance image super-resolution and motion artifact reduction

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Three‐dimensional self super‐resolution for pelvic floor MRI using a convolutional neural network with multi‐orientation data training

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Deep learning‐based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness

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Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images

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Wavelet-aware Transformer Network for Multi-contrast Knee MRI Super-resolution

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Deep learning-based super-resolution of structural brain MRI at 1.5 T: application to quantitative volume measurement

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Validation and Feasibility of Ultrafast Cervical Spine MRI Using a Deep Learning-Assisted 3D Iterative Image Enhancement System

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A scalable attention network for lightweight image super-resolution

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Joint Image and Label Self-super-Resolution

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Angular super-resolution in X-ray projection radiography using deep neural network: Implementation on rotational angiography

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Explainable AI and Its Applications in Healthcare

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Deriving new soft tissue contrasts from conventional MR images using deep learning

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Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview

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Fast unconditional diffusion model for accelerated MRI reconstruction

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A sparse lightweight attention network for image super-resolution

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Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion

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Improved Image Quality Through Deep Learning Acceleration of Gradient-Echo Acquisitions in Uterine MRI: First Application with the Female Pelvis

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Uncertainty estimation using boundary prediction for medical image super-resolution

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Anisotropic neural deblurring for MRI acceleration

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Deep Learning in Image Processing: Part 2—Image Enhancement, Reconstruction and Registration

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Activating high-frequency information nodes for super-resolution magnetic resonance imaging

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Improved visualization of intracranial distal arteries with multiple 2D slice dynamic ASL ‐ MRA and super‐resolution convolutional neural network

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Medical Image Super-Resolution Via Granular Multi-Scale Network In Nsct Domain

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MRI Super-Resolution using Laplacian Pyramid Convolutional Neural Networks with Isotropic Undecimated Wavelet Loss

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Generating High-Resolution CT Slices from Two Image Series Using Deep-Learning-Based Resolution Enhancement Methods

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Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration NetworkPreprint

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Multimodal super-resolution for fast image-based simulation of crystal plasticity

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Deep learning in fetal, infant, and toddler neuroimaging research

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Patient-specific MRI super-resolution via implicit neural representations and knowledge transfer

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Super Resolution for Improved Positioning of an MRI-Guided Spinal Cellular Injection Robot

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An efficient transfer learning-based Super-Resolution model for Medical Ultrasound Image

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Inter-Slice Super-Resolution of Magnetic Resonance Images by Pre-Training and Self-Supervised Fine-Tuning

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Rising role of artificial intelligence in image reconstruction for biomedical imaging

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MRI super-resolution using 3D cycle-consistent generative adversarial network

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Introduction to Artificial Intelligence in Medicine

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Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks

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The resolution of immunofluorescent pathological images affects diagnosis for not only artificial intelligence but also human

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Chemotherapy response prediction with diffuser elapser network

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Super-Resolution reconstruction of Bone Micro-Structure Micro-CT Image based on Auto-Encoder Structure

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REHRSeg: Unleashing the power of self-supervised super-resolution for resource-efficient 3D MRI segmentation

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Best fast MRI protocols for the knee: advantages and limitations

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Evaluation of deep‐learning TSE images in clinical musculoskeletal imaging

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Using deep feature distances for evaluating the perceptual quality of MR image reconstructions

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Exploring the potential performance of 0.2 T low-field unshielded MRI scanner using deep learning techniques

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MRI super-resolution reconstruction based on 3D dense connected convolutional autoencoders

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Ultra-fast whole-brain T2-weighted imaging in 7 seconds using dual-type deep learning reconstruction with single-shot acquisition: clinical feasibility and comparison with conventional methods

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Image Processing in Health Informatics

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MRSaiFE: Tissue Heating Prediction for MRI: a Feasibility Study

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Synthesizing VERDICT maps from standard DWI data using GANs

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