On the public citation graph
Multiple improved residual networks for medical image super-resolution
0 signed · 162 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/1522-2594(200101)45:1<29::aid-mrm1005>3.0.co;2-zopenalex-snapshot
Superresolution in MRI: Application to human white matter fiber tract visualization by diffusion tensor imaging
inferredcites →https://doi.org/10.1007/978-3-319-10593-2_13openalex-snapshot
Learning a Deep Convolutional Network for Image Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-319-12568-8_118openalex-snapshot
Super Resolution Imaging via Sparse Interpolation in Wavelet Domain with Implementation in DSP and GPU
inferredcites →https://doi.org/10.1007/978-3-319-16817-3_8openalex-snapshot
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_25openalex-snapshot
Accelerating the Super-Resolution Convolutional Neural Network
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_43openalex-snapshot
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
inferredcites →https://doi.org/10.1007/978-3-642-27413-8_47openalex-snapshot
On Single Image Scale-Up Using Sparse-Representations
inferredcites →https://doi.org/10.1007/978-3-642-41827-3openalex-snapshot
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
inferredcites →https://doi.org/10.1007/bf01200891openalex-snapshot
A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution)
inferredcites →https://doi.org/10.1007/s11042-015-2597-2openalex-snapshot
Single image super-resolution by combining self-learning and example-based learning methods
inferredcites →https://doi.org/10.1007/s11042-015-2845-5openalex-snapshot
Binocular vision calibration and 3D re-construction with an orthogonal learning neural network
inferredcites →https://doi.org/10.1016/1049-9652(91)90045-lopenalex-snapshot
Improving resolution by image registration
inferredcites →https://doi.org/10.1016/j.future.2018.09.059openalex-snapshot
Multi modal registration of structural features and mutual information of medical image
inferredcites →https://doi.org/10.1016/j.patrec.2009.09.004openalex-snapshot
Resolution enhancement based on learning the sparse association of image patches
inferredcites →https://doi.org/10.1016/j.sigpro.2009.09.002openalex-snapshot
A super-resolution reconstruction algorithm for surveillance images
inferredcites →https://doi.org/10.1023/b:visi.0000045324.43199.43openalex-snapshot
Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods
inferredcites →https://doi.org/10.1080/00207160701303912openalex-snapshot
Computer vision and pattern recognition
inferredcites →https://doi.org/10.1080/01431160500207088openalex-snapshot
Sub‐pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super‐resolution pixel‐swapping
inferredcites →https://doi.org/10.1109/apccas.2006.342128openalex-snapshot
An Iterative Super-Resolution Reconstruction of Image Sequences using Fast Affine Block-Based Registration with BTV Regularization
inferredcites →https://doi.org/10.1109/cvpr.2008.4587647openalex-snapshot
Image super-resolution as sparse representation of raw image patches
inferredcites →https://doi.org/10.1109/cvpr.2016.181openalex-snapshot
Deeply-Recursive Convolutional Network for Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2016.182openalex-snapshot
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2016.207openalex-snapshot
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.298openalex-snapshot
Image Super-Resolution via Deep Recursive Residual Network
inferredcites →https://doi.org/10.1109/cvpr.2017.618openalex-snapshot
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2018.00179openalex-snapshot
Deep Back-Projection Networks for Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr12618.2008openalex-snapshot
2008 IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvprw.2017.151openalex-snapshot
Enhanced Deep Residual Networks for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/iccv.2013.241openalex-snapshot
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution
inferredcites →https://doi.org/10.1109/iccv.2013.75openalex-snapshot
Fast Direct Super-Resolution by Simple Functions
inferredcites →https://doi.org/10.1109/iccv.2015.50openalex-snapshot
Deep Networks for Image Super-Resolution with Sparse Prior
inferredcites →https://doi.org/10.1109/iccv19984.2013openalex-snapshot
2013 IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/tassp.1981.1163711openalex-snapshot
Cubic convolution interpolation for digital image processing
inferredcites →https://doi.org/10.1109/tip.2003.811513openalex-snapshot
Eigenface-domain super-resolution for face recognition
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2008.924279openalex-snapshot
Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation
inferredcites →https://doi.org/10.1109/tip.2010.2050625openalex-snapshot
Image Super-Resolution Via Sparse Representation
inferredcites →https://doi.org/10.1109/tpami.2008.103openalex-snapshot
Robust Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm
inferredcites →https://doi.org/10.1364/josaa.3.000787openalex-snapshot
Origins of linear and nonlinear recursive restoration algorithms
inferredcites →https://doi.org/10.1364/josaa.6.001715openalex-snapshot
High-resolution image recovery from image-plane arrays, using convex projections
inferredcites →https://doi.org/10.22028/d291-26234openalex-snapshot
Lucas/Kanade meets Horn/Schunck : combining local and global optic flow methods
inferredcites →https://doi.org/10.3724/sp.j.1004.2013.01202openalex-snapshot
Survey of Super-resolution Image Reconstruction Methods
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4760256openalex-extracted
Rdinet: A Dynamic Mapping Model for Multimodal Feature Fusion for Treatment Response Prediction In Thyroid Eye Disease
inferred← citeshttps://doi.org/10.2139/ssrn.4797427openalex-extracted
Deep Residual-in-Residual Model-Based Pet Image Super-Resolution with Motion Blur
inferred← citeshttps://doi.org/10.1002/mp.18077openalex-snapshot
Super‐resolution PET/CT radiomics nomogram for predicting spread through air spaces in stage I lung adenocarcinoma
inferred← citeshttps://doi.org/10.1007/978-3-031-15037-1_16openalex-snapshot
Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction
inferred← citeshttps://doi.org/10.1007/978-3-031-16980-9_13openalex-snapshot
SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
inferred← citeshttps://doi.org/10.1007/978-3-031-20868-3_36openalex-snapshot
Nested Multi-Axis Learning Network for Single Image Super-Resolution
inferred← citeshttps://doi.org/10.1007/978-3-031-53767-7_8openalex-snapshot
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering
inferred← citeshttps://doi.org/10.1007/978-3-031-66958-3_12openalex-snapshot
Superresolution of Real-World Multiscale Bone CT Verified with Clinical Bone Measures
inferred← citeshttps://doi.org/10.1007/978-3-032-15188-9_13openalex-snapshot
Transformer-Integrated Dual-Domain Residual Network with Gradient-Aware Supervision and Clamo Optimization for Artifact-Free Medical Image Super-Resolution
inferred← citeshttps://doi.org/10.1007/s00371-023-02768-3openalex-snapshot
High-to-low-level feature matching and complementary information fusion for reference-based image super-resolution
inferred← citeshttps://doi.org/10.1007/s00530-025-01711-xopenalex-snapshot
A CNN-transformer hybrid network with selective fusion and dual attention for image super-resolution
inferred← citeshttps://doi.org/10.1007/s10439-024-03461-9openalex-snapshot
Quantitative and Visual Analysis of Data Augmentation and Hyperparameter Optimization in Deep Learning-Based Segmentation of Low-Grade Glioma Tumors Using Grad-CAM
inferred← citeshttps://doi.org/10.1007/s10489-021-03095-7openalex-snapshot
High-performance medical image secret sharing using super-resolution for CAD systems
inferred← citeshttps://doi.org/10.1007/s10489-023-04566-9openalex-snapshot
Deep learning in medical image super resolution: a review
inferred← citeshttps://doi.org/10.1007/s10489-023-05190-3openalex-snapshot
Superresolved spatial transcriptomics transferred from a histological context
inferred← citeshttps://doi.org/10.1007/s11042-022-12511-0openalex-snapshot
An effective super resolution image reconstruction using spatial entropy based normalized deep convolutional neural network
inferred← citeshttps://doi.org/10.1007/s11042-023-16197-wopenalex-snapshot
Single image super-resolution approaches in medical images based-deep learning: a survey
inferred← citeshttps://doi.org/10.1007/s11760-023-02805-7openalex-snapshot
A guided optimized recursive least square adaptive filtering based multi-variate dense fusion network model for image interpolation
inferred← citeshttps://doi.org/10.1007/s11760-025-04018-6openalex-snapshot
Dual-domain residual CNN for medical image super-resolution with enhanced detail preservation and artifact suppression
inferred← citeshttps://doi.org/10.1007/s12652-021-03350-2openalex-snapshot
Intelligent recognition of rough handling of express parcels based on CNN-GRU with the channel attention mechanism
inferred← citeshttps://doi.org/10.1007/s13042-025-02699-6openalex-snapshot
Fourier-based degradation-aware transformer-style network for blind image super-resolution
inferred← citeshttps://doi.org/10.1007/s44163-024-00134-3openalex-snapshot
RETRACTED ARTICLE: Innovative application of artificial intelligence in a multi-dimensional communication research analysis: a critical review
inferred← citeshttps://doi.org/10.1016/j.agrformet.2024.110369openalex-snapshot
Urbanization diminishes net ecosystem productivity by changing the landscape pattern
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111837openalex-snapshot
Deep RegNet-150 architecture for single image super resolution of real-time unpaired image data
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100730openalex-snapshot
Smart UAV-assisted rose growth monitoring with improved YOLOv10 and Mamba restoration techniques
inferred← citeshttps://doi.org/10.1016/j.bea.2023.100099openalex-snapshot
A Hybrid Approach for retinal image super-resolution
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.107777openalex-snapshot
MRI super-resolution reconstruction based on 3D dense connected convolutional autoencoders
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108119openalex-snapshot
Cwin-Net: A channel window attention network for magnetic resonance image super-resolution
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108534openalex-snapshot
NSD-Net: An automatic assessment framework for nasal septum deviation based on landmark detection
inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.105934openalex-snapshot
Multi-window back-projection residual networks for reconstructing COVID-19 CT super-resolution images
inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106252openalex-snapshot
Gradual back-projection residual attention network for magnetic resonance image super-resolution
inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106330openalex-snapshot
Residual dense network for medical magnetic resonance images super-resolution
inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106467openalex-snapshot
Super-resolution of Pneumocystis carinii pneumonia CT via self-attention GAN
inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106498openalex-snapshot
Medical expert and machine learning analysis of lumbar disc herniation based on magnetic resonance imaging
inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106592openalex-snapshot
Analysis of high-resolution reconstruction of medical images based on deep convolutional neural networks in lung cancer diagnostics
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106635openalex-snapshot
The effect of CT high-resolution imaging diagnosis based on deep residual network on the pathology of bladder cancer classification and staging
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106707openalex-snapshot
Dual U-Net residual networks for cardiac magnetic resonance images super-resolution
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106779openalex-snapshot
End-to-end residual attention mechanism for cataractous retinal image dehazing
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106822openalex-snapshot
Super-resolution reconstruction of biometric features recognition based on manifold learning and deep residual network
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106995openalex-snapshot
Improved generative adversarial network for retinal image super-resolution
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.107101openalex-snapshot
Dual attention mechanism network for lung cancer images super-resolution
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.107186openalex-snapshot
A Super-resolution Guided Network for Improving Automated Thyroid Nodule Segmentation
inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.107313openalex-snapshot
Feedback attention network for cardiac magnetic resonance imaging super-resolution
inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107377openalex-snapshot
Multi-omics integration method based on attention deep learning network for biomedical data classification
inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107590openalex-snapshot
Medical image super-resolution reconstruction algorithms based on deep learning: A survey
inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107660openalex-snapshot
ResNet and its application to medical image processing: Research progress and challenges
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.108212openalex-snapshot
Neighborhood evaluator for efficient super-resolution reconstruction of 2D medical images
inferred← citeshttps://doi.org/10.1016/j.corcom.2024.07.002openalex-snapshot
Accurate recognition of micromorphology images of epoxy coatings for deep-sea environments based on a deep learning super-resolution method
inferred← citeshttps://doi.org/10.1016/j.displa.2026.103678openalex-snapshot
Wavelet-informed Residual Diffusion Model for medical image super resolution
inferred← citeshttps://doi.org/10.1016/j.heliyon.2025.e41850openalex-snapshot
PortNet: Achieving lightweight architecture and high accuracy in lung cancer cell classification
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102075openalex-snapshot
Medical image super-resolution for smart healthcare applications: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.jrras.2023.100628openalex-snapshot
Breast ultrasound image classification and physiological assessment based on GoogLeNet
inferred← citeshttps://doi.org/10.1016/j.jrras.2023.100680openalex-snapshot
Transformers and their application to medical image processing: A review
inferred← citeshttps://doi.org/10.1016/j.jrras.2024.100880openalex-snapshot
Effect analysis of ureteroscope holmium laser incision in treatment of parapelvic MRI cyst
inferred← citeshttps://doi.org/10.1016/j.jrras.2024.100975openalex-snapshot
Rehabilitative treatment of lower leg injury was studied by using anterolateral free thigh flap with CT scan
inferred← citeshttps://doi.org/10.1016/j.jrras.2024.100986openalex-snapshot
Classification of recurrent depression using brain CT images through feature fusion
inferred← citeshttps://doi.org/10.1016/j.jrras.2024.100988openalex-snapshot
Lumbar disc herniation diagnosis using deep learning on MRI
inferred← citeshttps://doi.org/10.1016/j.jrras.2024.100989openalex-snapshot
Effect of aggressive surgical protocol based on ERAS model on perioperative period of multiple rib fractures
inferred← citeshttps://doi.org/10.1016/j.jrras.2024.101010openalex-snapshot
Internal carotid artery stenosis and occlusion based on machine learning: A comparative analysis of high-resolution MRI and CT angiography
inferred← citeshttps://doi.org/10.1038/s41598-026-35540-3openalex-snapshot
Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening
inferred← citeshttps://doi.org/10.1080/09500340.2024.2383277openalex-snapshot
Infrared image deblurring with Framelet regularization in the background of salt-and-pepper noise
inferred← citeshttps://doi.org/10.1080/09540091.2023.2182487openalex-snapshot
Image super-resolution reconstruction based on multi-scale dual-attention
inferred← citeshttps://doi.org/10.1080/16878507.2021.1973760openalex-snapshot
Progressive U-Net residual network for computed tomography images super-resolution in the screening of COVID-19
inferred← citeshttps://doi.org/10.1080/17517575.2020.1864022openalex-snapshot
A pre-check operator for reducing algorithmic optimisation time in image processing applications
inferred← citeshttps://doi.org/10.1088/1361-6560/ac508dopenalex-snapshot
Prior information-based high-resolution tomography image reconstruction from a single digitally reconstructed radiograph
inferred← citeshttps://doi.org/10.1109/access.2021.3112002openalex-snapshot
Lightweight Dual-Stream Residual Network for Single Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/access.2022.3232258openalex-snapshot
Skip-Concatenated Image Super-Resolution Network for Mobile Devices
inferred← citeshttps://doi.org/10.1109/access.2023.3335934openalex-snapshot
Feature-Domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/access.2023.3336946openalex-snapshot
The Analysis of Nutrition Toxicology Detection Based on Big Data and Deep Learning
inferred← citeshttps://doi.org/10.1109/aicit62434.2024.10730737openalex-snapshot
Super-Resolution Reconstruction of Medical Images Based on Improved Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/csmis60634.2023.00079openalex-snapshot
Applications Research of Deep Learning in Super-Resolution Reconstruction of Medical Image
inferred← citeshttps://doi.org/10.1109/cvprw59228.2023.00175openalex-snapshot
Lightweight Real-Time Image Super-Resolution Network for 4K Images
inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00789openalex-snapshot
CASR: Efficient Cascade Network Structure with Channel Aligned method for 4K Real-Time Single Image Super-Resolution
inferred← citeshttps://doi.org/10.1109/ic3tes62412.2024.10877592openalex-snapshot
Enhancing the Clarity of Surveillance Footage with Deep Residual Neural Networks
inferred← citeshttps://doi.org/10.1109/iccpct61902.2024.10673204openalex-snapshot
Implementation of Deep Learning Based Enhanced Resolution Paradigms for Medical Diagnostics: A Study
inferred← citeshttps://doi.org/10.1109/ictiia54654.2022.9935876openalex-snapshot
Analysis of Emerging Preprocessing Techniques Combined with Deep CNN for Lung Disease Detection
inferred← citeshttps://doi.org/10.1109/incowoco64194.2024.10863327openalex-snapshot
Enhancing Medical Image Quality Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3232511openalex-snapshot
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3272155openalex-snapshot
Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-Resolution
inferred← citeshttps://doi.org/10.1109/jbhi.2024.3357988openalex-snapshot
Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3555603openalex-snapshot
A Lightweight 3D Distillation Volumetric Transformer for 3D MRI Super-Resolution
inferred← citeshttps://doi.org/10.1109/jiot.2024.3418381openalex-snapshot
ABSR: Progressive Alternate Refinement for Blind Cardiac MRI Super-Resolution
inferred← citeshttps://doi.org/10.1109/jsen.2024.3507081openalex-snapshot
Artificial Intelligence-Assisted Microfluidic Bio-Imaging—From Sensors to Applications: A Review
inferred← citeshttps://doi.org/10.1109/smartcloud55982.2022.00035openalex-snapshot
Image Super-Resolution Reconstruction Based on Big Data and Cloud Computing
inferred← citeshttps://doi.org/10.1109/tcds.2022.3193121openalex-snapshot
Residual Dense Attention Networks for COVID-19 Computed Tomography Images Super Resolution
inferred← citeshttps://doi.org/10.1109/tetci.2025.3631689openalex-snapshot
UMIC: Super-Resolution of Cine Cardiac MRI Using U-Shaped Network With Multi-Level Information Compensation
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3321478openalex-snapshot
Coastal Zone Extraction Algorithm Based on Multilayer Depth Features for Hyperspectral Images
inferred← citeshttps://doi.org/10.1111/1365-2478.70055openalex-snapshot
Bi‐Dimensional Large‐Kernel Attention Network for Digital Core Images
inferred← citeshttps://doi.org/10.1142/s1793292021501472openalex-snapshot
Super-Resolution AFM Imaging Based on Enhanced Convolutional Neural Network
inferred← citeshttps://doi.org/10.1155/2021/5516368openalex-snapshot
Deep Learning Based on Residual Networks for Automatic Sorting of Bananas
inferred← citeshttps://doi.org/10.1155/2021/8214304openalex-snapshot
Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks
inferred← citeshttps://doi.org/10.1155/2022/4431536openalex-snapshot
Super‐Resolution Swin Transformer and Attention Network for Medical CT Imaging
inferred← citeshttps://doi.org/10.1155/2022/5864752openalex-snapshot
Image Super-Resolution Network Based on Feature Fusion Attention
inferred← citeshttps://doi.org/10.1155/2022/6497754openalex-snapshot
Mechanical Analysis of Posterior Pedicle Screw System Placement and Internal Fixation in the Treatment of Lumbar Fractures
inferred← citeshttps://doi.org/10.1155/2022/8501948openalex-snapshot
Propofol Anesthesia Depth Monitoring Based on Self-Attention and Residual Structure Convolutional Neural Network
inferred← citeshttps://doi.org/10.1155/2022/9740622openalex-snapshot
Intelligent Detection of Foreign Matter in Coal Mine Transportation Belt Based on Convolution Neural Network
inferred← citeshttps://doi.org/10.1155/jece/8108611openalex-snapshot
Optimization of PET Image Reconstruction for Enhanced Image Quality in Various Tasks Using a Conventional PET Scanner
inferred← citeshttps://doi.org/10.1177/09544062241259614openalex-snapshot
MARNet: Multi-head attention residual network for rolling bearing fault diagnosis under noisy condition
inferred← citeshttps://doi.org/10.1177/20552076261443669openalex-snapshot
RDINet: A novel dynamic mapping model integrating radiomics and deep learning for predicting treatment response in thyroid eye disease
inferred← citeshttps://doi.org/10.1186/s13634-024-01170-yopenalex-snapshot
Seven decades of image super-resolution: achievements, challenges, and opportunities
inferred← citeshttps://doi.org/10.1371/journal.pone.0249278openalex-snapshot
Multi-scale Xception based depthwise separable convolution for single image super-resolution
inferred← citeshttps://doi.org/10.1515/pjbr-2022-0120openalex-snapshot
Visual element recognition based on profile coefficient and image processing technology
inferred← citeshttps://doi.org/10.2139/ssrn.5032995openalex-snapshot
Enhancing Optical Remote Sensing Images Via Random Degradation and Adaptive Fusion Super-Resolution Networks
inferred← citeshttps://doi.org/10.2147/bctt.s435510openalex-snapshot
Nomogram Based on Super-Resolution Ultrasound Images Outperforms in Predicting Benign and Malignant Breast Lesions
inferred← citeshttps://doi.org/10.2174/9789815079210123010008openalex-snapshot
Exploration of Medical Image Super-Resolution in terms of Features and Adaptive Optimization
inferred← citeshttps://doi.org/10.32604/cmes.2023.021438openalex-snapshot
IRMIRS: Inception-ResNet-Based Network for MRI Image Super-Resolution
inferred← citeshttps://doi.org/10.3389/fpls.2022.1066115openalex-snapshot
S-ResNet: An improved ResNet neural model capable of the identification of small insects
inferred← citeshttps://doi.org/10.3390/app112411588openalex-snapshot
A Robust Face Recognition Algorithm Based on an Improved Generative Confrontation Network
inferred← citeshttps://doi.org/10.3390/electronics10161979openalex-snapshot
Multi-Path Deep CNN with Residual Inception Network for Single Image Super-Resolution
inferred← citeshttps://doi.org/10.3390/electronics11182944openalex-snapshot
Super-Resolution-Empowered Adaptive Medical Video Streaming in Telemedicine Systems
inferred← citeshttps://doi.org/10.3390/electronics13132582openalex-snapshot
Deep Residual-in-Residual Model-Based PET Image Super-Resolution with Motion Blur
inferred← citeshttps://doi.org/10.3390/rs15143676openalex-snapshot
Multi-Scale Feature Residual Feedback Network for Super-Resolution Reconstruction of the Vertical Structure of the Radar Echo
inferred← citeshttps://doi.org/10.3837/tiis.2022.09.003openalex-snapshot
Cascaded Residual Densely Connected Network for Image Super-Resolution
inferred← citeshttps://doi.org/10.4018/978-1-6684-3791-9.ch003openalex-snapshot
Role of Deep Learning in Medical Image Super-Resolution
inferred← citeshttps://doi.org/10.46690/ager.2022.02.07openalex-snapshot
Super-resolution reconstruction of digital rock CT images based on residual attention mechanism
inferred← citeshttps://doi.org/10.56714/bjrs.51.2.19openalex-snapshot
Robust and Interpretable Chest X-ray Classification via Diffusion Purification and Concept-Based Adversarial Detection
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.