yusuke1997/dblp-id-title huggingface dataset:
Nonlinear Optimization Algorithm for Partially Coherent Phase Retrieval and Source Recovery
High Spatio-Temporal Imaging Reconstruction for Hybrid Spike-RGB Cameras
TOP-CT: Trajectory With Overlapping Projections X-Ray Computed Tomography
Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring
Multispectral Demosaicing Using Pseudo-Panchromatic Image
OSRanP: A Novel Way for Radar Imaging Utilizing Joint Sparsity and Low-Rankness
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications
Shift-Invariant-Subspace Discretization and Volume Reconstruction for Light Field Microscopy
Doppler-DPCA and Doppler-ATI: Novel SAR Modalities for Imaging of Moving Targets Using Ultra-Narrowband Waveforms
Spectral CT Reconstruction With Image Sparsity and Spectral Mean
Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction
Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach
Spatial-Spectral Representation for X-Ray Fluorescence Image Super-Resolution
Time-Resolved Reconstruction of Motion, Force, and Stiffness Using Spectro-Dynamic MRI
Face Detection and Verification Using Lensless Cameras
Stability of Image-Reconstruction Algorithms
PET Image Representation and Reconstruction Based on Graph Filter
Inversion of the Attenuated V-Line Transform With Vertices on the Circle
Consensus and Sectioning-Based ADMM With Norm-1 Regularization for Imaging With a Compressive Reflector Antenna
Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis
TPU Based Deep Learning Image Enhancement for Real-Time Point-of-Care Ultrasound
Bayesian 3D Reconstruction of Subsampled Multispectral Single-Photon Lidar Signals
Deep, Convergent, Unrolled Half-Quadratic Splitting for Image Deconvolution
Successive Optimization of Optics and Post-Processing With Differentiable Coherent PSF Operator and Field Information
Model Adaptation for Inverse Problems in Imaging
Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography
Various Compressed Sensing Setups Evaluated Against Shannon Sampling Under Constraint of Constant Illumination
Learning Task-Specific Strategies for Accelerated MRI
Neuromorphic Imaging With Density-Based Spatiotemporal Denoising
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI
Underwater Image Enhancement and Attenuation Restoration Based on Depth and Backscatter Estimation
Laser Ultrasonic Imaging Via the Time Domain Linear Sampling Method
Model-Based Iterative Reconstruction for Bright-Field Electron Tomography
Comparison of SIRT and SQS for Regularized Weighted Least Squares Image Reconstruction
Multiview Scattering Scanning Imaging Confocal Microscopy Through a Multimode Fiber
Hybrid Approaches in Microwave Imaging Using Quantitative Time- and Frequency-Domain Algorithms
CycleGAN With a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
Stochastic Higher-Order Independent Component Analysis for Hyperspectral Dimensionality Reduction
Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions
Online Training of Stereo Self-Calibration Using Monocular Depth Estimation
Nonlinear Waveform Inversion for Quantitative Ultrasound
Building Stereoscopic Zoomer via Global and Local Warping Optimization
Parallel Block Compressive LiDAR Imaging
Informational Lithography Approach Based on Source and Mask Optimization
Model-Based Iterative Reconstruction of Magnetization Using Vector Field Electron Tomography
Wavefront Estimation From a Single Measurement: Uniqueness and Algorithms
Fast Hyperspectral Neutron Tomography
Fast Target Detection via Template Matching in Compressive Phase Retrieval
Distributed Stochastic Optimization of a Neural Representation Network for Time-Space Tomography Reconstruction
Distribution-Adaptive Hierarchical Quantization Enhanced Binary Networks for Spectral Compressive Imaging
Robust Motion Compensation for Event Cameras With Smooth Constraint
Material Identification From Radiographs Without Energy Resolution
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray CT
Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction
Deep Anti-Aliasing of Whole Focal Stack Using Slice Spectrum
Physics-Based Regularizer for Joint Soft Segmentation and Reconstruction of Electron Microscopy Images of Polycrystalline Microstructures
Hash Ranking With Weighted Asymmetric Distance for Image Search
Three-Dimensional Microwave Imaging in L p Banach Spaces: Numerical and Experimental Results
Computational Super-Resolution Imaging With a Sparse Rotational Camera Array
Photon-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors
Deep Learning for Camera Autofocus
Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping
Robust Estimation of Exposure Ratios in Multi-Exposure Image Stacks
Two-dimensional Autofocus for Spotlight SAR Polar Format Imagery
Sensing Matrix Design via Mutual Coherence Minimization for Electromagnetic Compressive Imaging Applications
BSoNet: Deep Learning Solution for Optimizing Image Quality of Portable Backscatter Imaging Systems
Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging
Zero-Shot Depth Estimation From Light Field Using A Convolutional Neural Network
Fast GPU-Based Seismogram Simulation From Microseismic Events in Marine Environments Using Heterogeneous Velocity Models
360 Panorama Synthesis from a Sparse Set of Images on a Low-Power Device
Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy
A Joint Row and Column Action Method for Cone-Beam Computed Tomography
Sensing Matrix Design via Capacity Maximization for Block Compressive Sensing Applications
Reflection Removal on Single Light Field Capture Using Focus Manipulation
Holographic Reconstruction With All-Acoustic Diffractive Network
Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems
Gauss-Newton Optimization for Phase Recovery From the Bispectrum
Wavenumber Spectrum Reconstruction Method for Microwave Computational Imaging With Re-Programmable Metasurface
A Model-Based Iterative Reconstruction Approach to Tunable Diode Laser Absorption Tomography
Denoising Knowledge Transfer Model for Zero-Shot MRI Reconstruction
Unbalanced Optimal Transport Regularization for Imaging Problems
A Graph Partitioning Approach to Simultaneous Angular Reconstitution
Learned Full-Sampling Reconstruction From Incomplete Data
Adaptive Near-Infrared and Visible Fusion for Fast Image Enhancement
Robust Beam Hardening Artifacts Reduction for Computed Tomography Using Spectrum Modeling
An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging
An End-to-End Deep Network for Reconstructing CT Images Directly From Sparse Sinograms
High-Speed Phase-Shifting 3D Profilometry on Human Face Assisted by Statistical Model
Space-Filling X-Ray Source Trajectories for Efficient Scanning in Large-Angle Cone-Beam Computed Tomography
Moving Target Artifacts in Bistatic Synthetic Aperture Radar Images
Online Beam Current Estimation in Particle Beam Microscopy
Distributed Blind Hyperspectral Unmixing via Joint Sparsity and Low-Rank Constrained Non-Negative Matrix Factorization
Poisson Phase Retrieval in Very Low-Count Regimes
Provable Probabilistic Imaging Using Score-Based Generative Priors
A Deep Unfolding Method for Satellite Super Resolution
Learning Piecewise Planar Representation for RGB Guided Depth Super-Resolution
The Effect of Hardware-Computed Travel Time on Localization Accuracy in the Inversion of Experimental (Acoustic) Waveform Data
Lensless Imaging With Compressive Ultrafast Sensing
Embedding Deep Learning in Inverse Scattering Problems
Unsupervised Coordinate-Based Neural Network for Electrical Impedance Tomography
Convex Recovery From Interferometric Measurements
Wavenumber Domain 2-D Separable Data Reformatting Algorithm for High Squint Spotlight SAR
DAViS Camera Optical Flow
Provable General Bounded Denoisers for Snapshot Compressive Imaging With Convergence Guarantee
Microlens Array Grid Estimation, Light Field Decoding, and Calibration
Complex Valued Long Short Term Memory Based Architecture for Frequency Domain Photoacoustic Imaging
Deep Visual Sharing With Colorblind
Segmentation-Driven Optimization For Iterative Reconstruction in Optical Projection Tomography: An Exploration
A Neural-Network-Based Convex Regularizer for Inverse Problems
Frequency Domain Based Virtual Detector for Heterogeneous Media in Photoacoustic Imaging
Joint High-Order Motion Compensation and Imaging Algorithm for Ultrahigh-Resolution Spaceborne ISAR
Anomaly Distinguishability in an Asteroid Analogue Using Quasi-Monostatic Experimental Radar Measurements
Model-Based Iterative Reconstruction for One-Sided Ultrasonic Nondestructive Evaluation
A Physical Model of Nonstationary Blur in Ultrasound Imaging
Computational Imaging for Machine Perception: Transferring Semantic Segmentation Beyond Aberrations
Learning Low-Dimensional Models of Microscopes
Robust Restoration of Sparse Multidimensional Single-Photon LiDAR Images
A Fast Algorithm for Convolutional Structured Low-Rank Matrix Recovery
Spectral CT Reconstruction - ASSIST: Aided by Self-Similarity in Image-Spectral Tensors
Unitary Transforms Using Time-Frequency Warping for Digital Holograms of Deep Scenes
Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications
Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction
Numerical Inversion of Circular arc Radon Transform
Depth Estimation From a Single Optical Encoded Image Using a Learned Colored-Coded Aperture
Spectral Zooming and Resolution Limits of Spatial Spectral Compressive Spectral Imagers
Fast Correction for Geometric Distortion in PFA Wavefront Curvature Compensation
Total Utility Metric Based Dictionary Pruning for Sparse Hyperspectral Unmixing
CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging
Robust Deep Compressive Sensing With Recurrent-Residual Structural Constraints
NLCMR: Indoor Depth Recovery Model With Non-Local Cross-Modality Prior
Constrained Predictive Filters for Single Image Bokeh Rendering
Joint Denoising and HDR for RAW Image Sequences
Batch-FPM: Random Batch-Update Multi-Parameter Physical Fourier Ptychography Neural Network
Computational Implementation and Asymptotic Statistical Performance Analysis of Range Frequency Autocorrelation Function for Radar High-Speed Target Detection
Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models
Slope Disparity Gating: System and Applications
Towards Data-Informed Motion Artifact Reduction in Quantitative CT Using Piecewise Linear Interpolation
A Hybrid Polarization Image Demosaicking Algorithm Based on Inter-Channel Correlation
Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Tasks
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering
Robust Low-Rank Tensor Ring Completion
Robust Cardiac Cine MRI Reconstruction With Spatiotemporal Diffusion Model
Autoregressive Model-Based Reconstruction of Quantitative Acoustic Maps From RF Signals Sampled at Innovation Rate
Adaptive Basis Scan by Wavelet Prediction for Single-Pixel Imaging
High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior
FoveaSPAD: Exploiting Depth Priors for Adaptive and Efficient Single-Photon 3D Imaging
iToF2dToF: A Robust and Flexible Representation for Data-Driven Time-of-Flight Imaging
Implicit Neural Networks With Fourier-Feature Inputs for Free-Breathing Cardiac MRI Reconstruction
Modified Newton Integration Algorithm With Noise Tolerance for Image Deblurring
Four-Dimensional Anisotropic Diffusion Framework With PDEs for Light Field Regularization and Inverse Problems
EasySpec: Automatic Specular Reflection Detection and Suppression From Endoscopic Images
Coupling Model- and Data-Driven Networks for CT Metal Artifact Reduction
A Memory-Efficient Self-Supervised Dynamic Image Reconstruction Method Using Neural Fields
Analysis of Artifacts in SAR Imagery Due to Fluctuation in Refractive Index
Multistatic Uniform Diffraction Tomography Derived Structural-Prior in Bayesian Inversion Framework for Microwave Tomography
Super-Resolution Hyperspectral Reconstruction With Majorization-Minimization Algorithm and Low-Rank Approximation
A Computationally Light MUSIC Based Algorithm for Automotive RADARs
Multilevel Features Convolutional Neural Network for Multifocus Image Fusion
Deep Recursive Network for Hyperspectral Image Super-Resolution
An Efficient Algorithm for Spatial-Spectral Partial Volume Compartment Mapping With Applications to Multicomponent Diffusion and Relaxation MRI
Gauss-Newton-Krylov for Reconstruction of Polychromatic X-Ray CT Images
High-Generalized Unfolding Model With Coupled Spatial-Spectral Transformer for Hyperspectral Image Reconstruction
A Message-Passing Perspective on Ptychographic Phase Retrieval
CoIL: Coordinate-Based Internal Learning for Tomographic Imaging
Spectral2Spectral: Image-Spectral Similarity Assisted Deep Spectral CT Reconstruction Without Reference
Discrete Iterative Partial Segmentation Technique (DIPS) for Tomographic Reconstruction
Resolution Analysis in a Lens-Free On-Chip Digital Holographic Microscope
X-Ray Ghost-Tomography: Artefacts, Dose Distribution, and Mask Considerations
Vehicle Tracking in Video Using Fractional Feedback Kalman Filter
High-Fidelity Real-Time Imaging With Electromagnetic Logging-While-Drilling Measurements
DYRECT Computed Tomography: DYnamic Reconstruction of Events on a Continuous Timescale
Hand-Held Video Deblurring Via Efficient Fourier Aggregation
High-Contrast Reflection Tomography With Total-Variation Constraints
Equilibrium Model With Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging
Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI
OpEnCam: Lensless Optical Encryption Camera
Adaptive Luminance Enhancement and High-Fidelity Color Correction for Low-Light Image Enhancement
Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization
Prior Image Constrained Total Variation-Stokes for Cerebral Perfusion CT Imaging
$L^{2}$FMamba: Lightweight Light Field Image Super-Resolution With State Space Model
Single- and Double-Sided Marchenko Imaging Conditions in Acoustic Media
Reconstruction of Image Sequences From Ungated and Scanning-Aberrated Laser Scanning Microscopy Images of the Beating Heart
Salt Reconstruction in Full-Waveform Inversion With a Parametric Level-Set Method
A Two-Stream Stacked Autoencoder With Inter-Class Separability for Bilinear Hyperspectral Unmixing
Disparity Computation With Low Intensity Quantization on Stereo Image Pairs
MVMS-RCN: A Dual-Domain Unified CT Reconstruction With Multi-Sparse-View and Multi-Scale Refinement-Correction
Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data
Weighted Tensor Low-Rankness and Learnable Analysis Sparse Representation Model for Texture Preserving Low-Dose CT Reconstruction
Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing
Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density
Static CT With Sources and Detectors Distributed in a Multi-Segment Manner: System Analysis and Analytical Reconstruction
Boosting One-Shot Spectral Super-Resolution Using Transfer Learning
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy
An Augmented Lagrangian Method for Complex-Valued Compressed SAR Imaging
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems
Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation
Quick Unsupervised Hyperspectral Dimensionality Reduction for Earth Observation: A Comparison
CodEx: A Modular Framework for Joint Temporal De-Blurring and Tomographic Reconstruction
TIMBIR: A Method for Time-Space Reconstruction From Interlaced Views
CLAMP: Majorized Plug-and-Play for Coherent 3D Lidar Imaging
Coded Aperture Optimization in Spatial Spectral Compressive Spectral Imagers
Synthetic Aperture Imaging of Dispersive Targets
A Semi Nonnegative Matrix Factorization Technique for Pattern Generalization in Single-Pixel Imaging
Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging
Polarimetric Light Transport Analysis for Specular Inter-Reflection
Unrolling Reweighted Total Variation-Based Split Bregman Iterative Framework for Electrical Impedance Tomography Image Reconstruction
A Hierarchical Bayesian Model Accounting for Endmember Variability and Abrupt Spectral Changes to Unmix Multitemporal Hyperspectral Images
Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium
From Patch to Pixel: A Transformer-Based Hierarchical Framework for Compressive Image Sensing
VIF-Net: An Unsupervised Framework for Infrared and Visible Image Fusion
FlatCam: Thin, Lensless Cameras Using Coded Aperture and Computation
HDR Imaging With Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction
Multi-Stream Progressive Restoration for Low-Light Light Field Enhancement and Denoising
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems
Deep Generative Endmember Modeling: An Application to Unsupervised Spectral Unmixing
Exploring Quasi-Global Solutions to Compound Lens Based Computational Imaging Systems
Extended Depth-of-Field Lensless Imaging Using an Optimized Radial Mask
Accelerated Phase Shifting for Structured Illumination Microscopy Based on Deep Learning
High-Speed Imaging Using CMOS Image Sensor With Quasi Pixel-Wise Exposure
Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-Ray Coherent Scatter Imaging
Passive Array Imaging in Random Media
Undersampled Phase Retrieval With Outliers
Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction
BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images
Single-View Fluorescence Molecular Tomography Based on Hyperspectral NIR-II Imaging
HDN: Hybrid Deep-Learning and Non-Line-of-Sight Reconstruction Framework for Transcranial Photoacoustic Imaging of Human Brain
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction
Optimizing Coded Excitation for Model-Based Ultrasound Imaging With Unfocused Transmissions
Contrast-Aware Network With Aggregated-Interacted Transformer and Multi-Granularity Aligned Contrastive Learning for Synthesizing Contrast-Enhanced Abdomen CT Imaging
Domain Adaptation for Robust Classification of Disparate Hyperspectral Images
Dual-Stream Adaptive Convergent Low-Light Image Enhancement Network Based on Frequency Perception
Learned Discrepancy Reconstruction and Benchmark Dataset for Magnetic Particle Imaging
DS$^{2}$PN: A Two-Stage Direction-Aware Spectral-Spatial Perceptual Network for Hyperspectral Image Reconstruction
Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries
Cross-Scale Reference-Based Light Field Super-Resolution
Cancer Detection in Highly Dense Breasts Using Coherently Focused Time-Reversal Microwave Imaging
MR-EIT: Multi-Resolution Reconstruction for Electrical Impedance Tomography via Data-Driven and Unsupervised Dual-Mode Neural Networks
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging
Joint CT Reconstruction and Segmentation With Discriminative Dictionary Learning
A Novel ISAR Imaging Scaling Approach for Maneuvering Targets Based on Monopulse Radar
Travel Time Tomography With Adaptive Dictionaries
Hybrid Pixel-Wise Registration Learning for Robust Fusion-Based Hyperspectral Image Super-Resolution
Non-Line-of-Sight mmW SAR Imaging With Equivariant Adaptive Threshold Learning
WARF: A Weighted-Sum Approach to Radial MRI Image Reconstruction With a Rotating RF Coil
Boosting Light Field Image Super Resolution Learnt From Single-Image Prior
3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture
PI-Line Difference for Alignment and Motion-Correction of Cone-Beam Helical-Trajectory Micro-Tomography Data
Robust Reconstruction With Deep Learning to Handle Model Mismatch in Lensless Imaging
InversionNet: An Efficient and Accurate Data-Driven Full Waveform Inversion
CTIS-Net: A Neural Network Architecture for Compressed Learning Based on Computed Tomography Imaging Spectrometers
Super-Iterative Image Reconstruction in PET
Super-Resolution PET Imaging Using Convolutional Neural Networks
Iterative Algorithms for Joint Scatter and Attenuation Estimation From Broken Ray Transform Data
SLBL-PU: Shadow-Based Layer-By-Layer Phase Unwrapping for Efficient 3D Measurement
Dynamic Image Sampling Using a Novel Variance Based Probability Mass Function
Gradient-Guided Isotropic MRI Reconstruction From Anisotropic Acquisitions
Multigrid-Based Inversion for Volumetric Radar Imaging With Asteroid Interior Reconstruction as a Potential Application
Mitigating Object Prior-Bias From Sparse-Projection Tomographic Reconstructions
Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part I: A Matrix-Completion Framework
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction
Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodeling Effects
Gates-Controlled Deep Unfolding Network for Image Compressed Sensing
Axial Super-Resolution in Optical Coherence Tomography Images via Spectrum-Based Self-Supervised Training
Cytopathology Image Super-Resolution of Portable Microscope Based on Convolutional Window-Integration Transformer
Photon-Counting CT Reconstruction With a Learned Forward Operator
Photon-Efficient Non-Line-of-Sight Imaging
Optical Tomographic Image Reconstruction Based on Beam Propagation and Sparse Regularization
High Resolution Diffuse Optical Tomography via Neural Fields
GPU-Based Branchless Distance-Driven Projection and Backprojection
Adaptive Illumination Based Depth Sensing Using Deep Superpixel and Soft Sampling Approximation
Multi-Frame Constrained Block Sparse Bayesian Learning for Flexible Tactile Sensing Using Electrical Impedance Tomography
Coding Mask Design for Single Sensor Ultrasound Imaging
Non-Sparse SAR Imaging From Quadrature Compressive Measurements Based on Magnitude-Phase Separation
Using Low-Rank Tensors for the Recovery of MPI System Matrices
TMSST-RID: A Target-Oriented SAR-ISAR Imaging Method Based on Synchrosqueezing
High-Resolution ISAR Imaging for Maneuvering Targets Based on Iterative Adaptive Processing
Score-Based Generative Model With Conditional Null-Space Learning for Limited-Angle Tomographic Reconstruction in Medical Imaging
A Hybrid Markov Random Field/Marked Point Process Model for Analysis of Materials Images
Estimation of Moisture Content Distribution in Porous Foam Using Microwave Tomography With Neural Networks
RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging
A 3-D Ultrasound Tomography Method for Bone Morphology Evaluation
Light Field Reflection and Background Separation Network Based on Adaptive Focus Selection
COCOA: Combining Color Constancy Algorithms for Images and Videos
Scatter Correction in X-Ray CT by Physics-Inspired Deep Learning
Real-Time Dense Field Phase-to-Space Simulation of Imaging Through Atmospheric Turbulence
Compressive Radio-Interferometric Sensing With Random Beamforming as Rank-One Signal Covariance Projections