IEEE Transactions on Computational Imaging

Title Publication Date Language Citations
Loss Functions for Image Restoration With Neural Networks2017/03/0120
InversionNet: An Efficient and Accurate Data-Driven Full Waveform Inversion2020/01/017
Plug-and-Play ADMM for Image Restoration: Fixed-Point Convergence and Applications2017/03/016
Video Super-Resolution With Convolutional Neural Networks2016/06/015
Multilevel Features Convolutional Neural Network for Multifocus Image Fusion2019/06/015
Photon-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors2015/06/015
Resolution Analysis in a Lens-Free On-Chip Digital Holographic Microscope2020/01/014
Embedding Deep Learning in Inverse Scattering Problems2020/01/014
Deep Equilibrium Architectures for Inverse Problems in Imaging2021/01/013
Adaptive Basis Scan by Wavelet Prediction for Single-Pixel Imaging2017/03/013
Noise2Inverse: Self-Supervised Deep Convolutional Denoising for Tomography2020/01/013
Inversion of the Attenuated V-Line Transform With Vertices on the Circle2017/12/013
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation2016/12/013
A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging2017/09/013
Blind Image Deconvolution Using Deep Generative Priors2020/01/013
TIMBIR: A Method for Time-Space Reconstruction From Interlaced Views2015/06/013
Deep Unfolding Network for Spatiospectral Image Super-Resolution2022/01/013
Reprojection Alignment for Trajectory Perturbation Estimation in Microtomography2018/06/013
Sensitivity Encoding for Aligned Multishot Magnetic Resonance Reconstruction2016/09/013
Efficient and Robust Recovery of Sparse Signal and Image Using Generalized Nonconvex Regularization2017/12/013
Fast Enhanced CT Metal Artifact Reduction Using Data Domain Deep Learning2020/01/013
Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method2017/06/013
Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction2021/01/012
Accelerated Phase Shifting for Structured Illumination Microscopy Based on Deep Learning2021/01/012
CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning2021/01/012
Blind NCS-Based Autofocus for Airborne Wide-Beam SAR Imaging2022/01/012
Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask2018/09/012
Closing the Gap of Simulation to Reality in Electromagnetic Imaging of Brain Strokes via Deep Neural Networks2021/01/012
Super-Resolution Image Reconstruction for High-Density Three-Dimensional Single-Molecule Microscopy2017/12/012
Physics-Based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging2019/09/012