IEEE Transactions on Computational Imaging

Papers
(The H4-Index of IEEE Transactions on Computational Imaging is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Classification Saliency-Based Rule for Visible and Infrared Image Fusion92
GAN-FM: Infrared and Visible Image Fusion Using GAN With Full-Scale Skip Connection and Dual Markovian Discriminators76
Deep Equilibrium Architectures for Inverse Problems in Imaging55
AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising46
Accelerated MRI With Un-Trained Neural Networks46
Scalable Plug-and-Play ADMM With Convergence Guarantees43
CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning36
SMFuse: Multi-Focus Image Fusion Via Self-Supervised Mask-Optimization35
Injected Infrared and Visible Image Fusion via $L_{1}$ Decomposition Model and Guided Filtering33
CoIL: Coordinate-Based Internal Learning for Tomographic Imaging33
Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images30
Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization30
Plug-and-Play Synthetic Aperture Radar Image Formation Using Deep Priors26
LightingNet: An Integrated Learning Method for Low-Light Image Enhancement26
Holographic 3D Particle Imaging With Model-Based Deep Network26
CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction26
Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Tasks25
SPECIAL: Single-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT25
Deep Unfolding Network for Spatiospectral Image Super-Resolution24
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging23
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path23
Fixed-Point and Objective Convergence of Plug-and-Play Algorithms23
Micro-Lens Image Stack Upsampling for Densely-Sampled Light Field Reconstruction22
Closing the Gap of Simulation to Reality in Electromagnetic Imaging of Brain Strokes via Deep Neural Networks22
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems22
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