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Do Radiographic Assessments of Periodontal Bone Loss Improve with Deep Learning Methods for Enhanced Image Resolution?

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Real-Time 3D Microwave Medical Imaging With Enhanced Variational Born Iterative Method

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Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation

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Dual Arbitrary Scale Super-Resolution for Multi-contrast MRI

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Gradient-Guided Convolutional Neural Network for MRI Image Super-Resolution

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Deep robust residual network for super-resolution of 2D fetal brain MRI

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Brain MR Image Classification Based on Deep Features by Using Extreme Learning Machines

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Improving Structural MRI Preprocessing with Hybrid Transformer GANs

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Flexible Alignment Super-Resolution Network for Multi-Contrast Magnetic Resonance Imaging

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Accelerated Multi-Modal MR Imaging with Transformers.Preprint

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Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images

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High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution

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Improving radiomic modeling for the identification of symptomatic carotid atherosclerotic plaques using deep learning-based 3D super-resolution CT angiography

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3D dense convolutional neural network for fast and accurate single MR image super-resolution

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Brain MRI Image Super-Resolution Reconstruction: A Systematic Review

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A general survey on medical image super-resolution via deep learning

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Development and evaluation of a high resolution 0.5mm isotropic T1-weighted template of the older adult brain

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MRI super-resolution using similarity distance and multi-scale receptive field based feature fusion GAN and pre-trained slice interpolation network

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SOFNet: Optical-flow based large-scale slice augmentation of brain MRI

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High-Frequency Modulated Transformer for Multi-Contrast MRI Super-Resolution

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Simultaneous superresolution reconstruction and distortion correction for single‐shot EPI DWI using deep learning

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Generalizing the Enhanced-Deep-Super-Resolution Neural Network to Brain MR Images: A Retrospective Study on the Cam-CAN Dataset

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Clinical evaluation of super-resolution for brain MRI images based on generative adversarial networks

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Brain MR Image Super-resolution using 3D Feature Attention Network

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A Transfer Model Based on Supervised Multi-Layer Dictionary Learning for Brain Tumor MRI Image Recognition

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Double Transformer Super-Resolution for Breast Cancer ADC Images

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MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution

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MAPANet: A Multi-Scale Attention-Guided Progressive Aggregation Network for Multi-Contrast MRI Super-Resolution

Liu, L., Liu, T., Zhou, W., Wang, Y., & Liu, M. (2024) · IEEE Transactions on Computational Imaging · doi:10.1109/tci.2024.3393723 · Cited by 10 · see citing works

Self‐supervised multicontrast super‐resolution for diffusion‐weighted prostate MRI

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Fast and accurate super-resolution of MR images based on lightweight generative adversarial network

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Accelerated Musculoskeletal Magnetic Resonance Imaging

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Single patient convolutional neural networks for real-time MR reconstruction: a proof of concept application in lung tumor segmentation for adaptive radiotherapy

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Advances in OCT resolution enhancement: Deep learning is playing an important role

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Deep learning-based magnetic resonance image super-resolution: a survey

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

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

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Hybrid feature fusion neural network integrating transformer for DCE-MRI super resolution

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High resolution 0.5mm isotropic T1-weighted and diffusion tensor templates of the brain of non-demented older adults in a common space for the MIITRA atlas

Wu, Y., Ridwan, A. R., Niaz, M. R., Bennett, D. A. A., & Arfanakis, K. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120387 · Cited by 6 · see citing works

Multi-Contrast MRI Reconstruction Based on Frequency Domain Separation and Cross-Self-Attention

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Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network

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Artificial intelligence and its potential integration with the clinical practice of diagnostic imaging medical physicists: a review

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Mouse brain MR super-resolution using a deep learning network trained with optical imaging data

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DDoS-UNet: Incorporating Temporal Information Using Dynamic Dual-Channel UNet for Enhancing Super-Resolution of Dynamic MRI

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Positron emission tomography image enhancement using magnetic resonance images and U-net structure

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Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI

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An Arbitrary-Scale Super-Resolution Network for Multi-Contrast MRI With Permuted Cross-Attention

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

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Chemotherapy response prediction with diffuser elapser network

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SAS-MRI: A semantic-guided approach for arbitrary scale super-resolution in multi-contrast brain MRI

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Deep learning architecture for 3D image super-resolution of late gadolinium enhanced cardiac MRI

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Joint Multi-contrast Reconstruction of Fetal MRI Based on Implicit Neural Representations

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Lightweight brain MR image super-resolution using 3D convolution

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Multiscale brain MRI super-resolution using deep 3D convolutional networks

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Super-resolution of Multi-contrast MRI Images with Deep Learning

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Image Super-Resolution for MRI Images using 3D Faster Super-Resolution Convolutional Neural Network architecture

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Convolutional Neural Network-Based Framework for Single Image Superresolution of Magnetic Resonance Imaging Images Using Multiscale Feature Extraction and Attention Mechanism

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