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Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography

https://doi.org/10.1109/tmi.2018.2820382
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Stable signal recovery from incomplete and inaccurate measurements
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Mathematics of Photoacoustic and Thermoacoustic Tomography
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Mathematics of Photoacoustic and Thermoacoustic Tomography
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Multiscale photoacoustic microscopy and computed tomography
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Deep in vivo photoacoustic imaging of mammalian tissues using a tyrosinase-based genetic reporter
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Structural and functional photoacoustic molecular tomography aided by emerging contrast agents
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Deep learning for photoacoustic tomography from sparse data
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On the adjoint operator in photoacoustic tomography
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Solving ill-posed inverse problems using iterative deep neural networks
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Accelerated high-resolution photoacoustic tomography via compressed sensing
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A framework for directional and higher-order reconstruction in photoacoustic tomography
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Compressed sensing and sparsity in photoacoustic tomography
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Biomedical photoacoustic imaging
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Small-Animal Whole-Body Photoacoustic Tomography: A Review
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Deep Convolutional Neural Network for Inverse Problems in Imaging
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Compressed sensing
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The Application of Compressed Sensing for Photo-Acoustic Tomography
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Full-Wave Iterative Image Reconstruction in Photoacoustic Tomography With Acoustically Inhomogeneous Media
inferredcites →https://doi.org/10.1109/tmi.2018.2799231openalex-snapshot
Learned Primal-Dual Reconstruction
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LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
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k-Wave: MATLAB toolbox for the simulation and reconstruction of photoacoustic wave fields
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Compressed sensing in photoacoustic tomography in vivo
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Tutorial on photoacoustic tomography
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Sub-sampled Fabry-Perot photoacoustic scanner for fast 3D imaging
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Reconstructions in limited‐view thermoacoustic tomography
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k -space propagation models for acoustically heterogeneous media: Application to biomedical photoacoustics
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Artifacts in Incomplete Data Tomography with Applications to Photoacoustic Tomography and Sonar
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Analysis of Iterative Methods in Photoacoustic Tomography with Variable Sound Speed
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A Galerkin Least Squares Approach for Photoacoustic Tomography
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Analysis for Full-Field Photoacoustic Tomography with Variable Sound Speed
inferredcites →https://doi.org/10.1148/radiol.16151414openalex-snapshot
Photoacoustic Imaging in Oncology: Translational Preclinical and Early Clinical Experience
inferredcites →https://doi.org/10.1158/0008-5472.can-13-2387openalex-snapshot
Light In and Sound Out: Emerging Translational Strategies for Photoacoustic Imaging
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Backward-mode multiwavelength photoacoustic scanner using a planar Fabry-Perot polymer film ultrasound sensor for high-resolution three-dimensional imaging of biological tissues
inferredcites →https://doi.org/10.3390/s130607345openalex-snapshot
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Adam: A Method for Stochastic Optimization
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Recurrent Inference Machines for Solving Inverse Problems
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Deep Learning-Guided Image Reconstruction from Incomplete Data
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Mathematics of Deep Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Progress in biomedical photoacoustic imaging instrumentation toward clinical application
inferred← citeshttps://doi.org/10.1063/5.0202401openalex-snapshot
Navigating challenges and solutions in quantitative photoacoustic imaging
inferred← citeshttps://doi.org/10.1080/17455030.2021.1968540openalex-snapshot
Deep learning based image reconstruction for sparse-view diffuse optical tomography
inferred← citeshttps://doi.org/10.1088/1361-6420/aaf073openalex-snapshot
A hybrid reconstruction approach for absorption coefficient by fluorescence photoacoustic tomography
inferred← citeshttps://doi.org/10.1088/1361-6420/ab10caopenalex-snapshot
Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
inferred← citeshttps://doi.org/10.1088/1361-6420/aba415openalex-snapshot
Computed tomography reconstruction using deep image prior and learned reconstruction methods
inferred← citeshttps://doi.org/10.1088/1361-6420/abb447openalex-snapshot
Numerical solution of inverse problems by weak adversarial networks
inferred← citeshttps://doi.org/10.1088/1361-6420/ac28ecopenalex-snapshot
Task adapted reconstruction for inverse problems
inferred← citeshttps://doi.org/10.1088/1361-6420/ad0660openalex-snapshot
Invertible residual networks in the context of regularization theory for linear inverse problems
inferred← citeshttps://doi.org/10.1088/1361-6420/ad2b99openalex-snapshot
MiPhDUO: microwave imaging via physics-informed deep unrolled optimization
inferred← citeshttps://doi.org/10.1088/1361-6420/ad4f0aopenalex-snapshot
Learning a stable approximation of an existing but unknown inverse mapping: application to the half-time circular Radon transform
inferred← citeshttps://doi.org/10.1088/1361-6420/ad7d30openalex-snapshot
Normalizing flow regularization for photoacoustic tomography
inferred← citeshttps://doi.org/10.1088/1361-6420/ae3f4copenalex-snapshot
Why the noise model matters: a performance gap in learned regularization
inferred← citeshttps://doi.org/10.1088/1361-6560/ab3522openalex-snapshot
Optoacoustic image formation approaches—a clinical perspective
inferred← citeshttps://doi.org/10.1088/1361-6560/ab3704openalex-snapshot
ℓ 0 gradient minimization for limited-view photoacoustic tomography
inferred← citeshttps://doi.org/10.1088/1361-6560/ab990eopenalex-snapshot
Neural networks-based regularization for large-scale medical image reconstruction
inferred← citeshttps://doi.org/10.1088/1361-6560/abd669openalex-snapshot
Another decade of photoacoustic imaging
inferred← citeshttps://doi.org/10.1088/1361-6560/ae2cddopenalex-snapshot
Superiorized model-based real-time inversion for cross-sectional magnetoacoustic tomography combined with magnetic induction
inferred← citeshttps://doi.org/10.1088/1361-6579/ab21b2openalex-snapshot
Beltrami-net: domain-independent deep D-bar learning for absolute imaging with electrical impedance tomography (a-EIT)
inferred← citeshttps://doi.org/10.1088/1361-6633/abdab9openalex-snapshot
Spatial resolution in photoacoustic computed tomography
inferred← citeshttps://doi.org/10.1088/1742-6596/1761/1/012001openalex-snapshot
Quantitative photoacoustic estimates of intervascular blood oxygenation differences using linear unmixing
inferred← citeshttps://doi.org/10.1088/2040-8986/ab3b1aopenalex-snapshot
Listening to tissues with new light: recent technological advances in photoacoustic imaging
inferred← citeshttps://doi.org/10.1088/2057-1976/adaf29openalex-snapshot
Deep learning aided determination of the optimal number of detectors for photoacoustic tomography
inferred← citeshttps://doi.org/10.1088/2515-7647/ae5580openalex-snapshot
Breaking the view barrier: mechanisms and advances in correcting limited-view artifacts for photoacoustic microscopy
inferred← citeshttps://doi.org/10.1093/jbi/wbad057openalex-snapshot
Optical Breast Imaging: A Review of Physical Principles, Technologies, and Clinical Applications
inferred← citeshttps://doi.org/10.1098/rspa.2021.0526openalex-snapshot
Structural engineering from an inverse problems perspective
inferred← citeshttps://doi.org/10.1109/access.2021.3056150openalex-snapshot
Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach
inferred← citeshttps://doi.org/10.1109/ap-s/usnc-ursi60190.2026.11675077openalex-snapshot
A Low-Rank Sensitivity-Mapping Approach with Image Enhancement for Microwave Stroke Imaging
inferred← citeshttps://doi.org/10.1109/cama57522.2023.10352860openalex-snapshot
Unrolled Microwave Imaging via Physics-assisted Deep Learning
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00201openalex-snapshot
Fourier Image Transformer
inferred← citeshttps://doi.org/10.1109/embc.2019.8856290openalex-snapshot
Accelerated Photoacoustic Tomography Reconstruction via Recurrent Inference Machines
inferred← citeshttps://doi.org/10.1109/embc.2019.8856590openalex-snapshot
Reconstruct the Photoacoustic Image Based On Deep Learning with Multi-frequency Ring-shape Transducer Array
inferred← citeshttps://doi.org/10.1109/embc.2019.8857019openalex-snapshot
Hybrid Neural Network for Photoacoustic Imaging Reconstruction
inferred← citeshttps://doi.org/10.1109/embc46164.2021.9630545openalex-snapshot
Learned Parameters and Increment for Iterative Photoacoustic Image Reconstruction via Deep Learning
inferred← citeshttps://doi.org/10.1109/globalsip.2018.8646704openalex-snapshot
DEEP NEURAL NETWORKS FOR NON-LINEAR MODEL-BASED ULTRASOUND RECONSTRUCTION
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414332openalex-snapshot
Stochastic Deep Unfolding for Imaging Inverse Problems
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10094843openalex-snapshot
Deep Network Series for Large-Scale High-Dynamic Range Imaging
inferred← citeshttps://doi.org/10.1109/iccvw54120.2021.00448openalex-snapshot
Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography
inferred← citeshttps://doi.org/10.1109/icee55646.2022.9827413openalex-snapshot
Fast Adapted Delay and Sum Reconstruction Algorithm in Circular Photoacoustic Tomography
inferred← citeshttps://doi.org/10.1109/icoac44903.2018.8939073openalex-snapshot
Diminishing fall-out and miss-rate in the classification of lung diseases using deep learning techniques
inferred← citeshttps://doi.org/10.1109/icpr48806.2021.9412521openalex-snapshot
Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent
inferred← citeshttps://doi.org/10.1109/ieeeconf53345.2021.9723134openalex-snapshot
Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction
inferred← citeshttps://doi.org/10.1109/isbi52829.2022.9761621openalex-snapshot
Convolutional Analysis Operator Learning by End-to-End Training of Iterative Neural Networks
inferred← citeshttps://doi.org/10.1109/isbi56570.2024.10635154openalex-snapshot
Cross-Domain Self-Supervised Reconstruction for Photoacoustic Computed Tomography
inferred← citeshttps://doi.org/10.1109/isbiworkshops50223.2020.9153440openalex-snapshot
Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach
inferred← citeshttps://doi.org/10.1109/iscas48785.2022.9937914openalex-snapshot
Learning-based Algorithm for Real Imaging System Enhancement: Acoustic Resolution to Optical Resolution Photoacoustic Microscopy
inferred← citeshttps://doi.org/10.1109/iscas51556.2021.9401797openalex-snapshot
Photoacoustic Microscopy Imaging from Acoustic Resolution to Optical Resolution Enhancement with Deep Learning
inferred← citeshttps://doi.org/10.1109/ius52206.2021.9593560openalex-snapshot
Deep Learning Regularized Acceleration for Photoacoustic Image Reconstruction
inferred← citeshttps://doi.org/10.1109/ius62464.2025.11201245openalex-snapshot
Three-Dimensional Photoacoustic Imaging with a Row-Column Array Based on 3D Gaussian Splatting
inferred← citeshttps://doi.org/10.1109/ius62464.2025.11201799openalex-snapshot
Volumetric Photoacoustic Imaging with a Rotational Row-Column-Addressed Array Based on Inverse Radon Transform
inferred← citeshttps://doi.org/10.1109/jbhi.2019.2912935openalex-snapshot
Fully Dense UNet for 2-D Sparse Photoacoustic Tomography Artifact Removal
inferred← citeshttps://doi.org/10.1109/mms55062.2022.9825562openalex-snapshot
Advances in MRI based Electrical Properties Tomography: a Comparison between Physics-supported Learning Approaches
inferred← citeshttps://doi.org/10.1109/nbec58134.2023.10352587openalex-snapshot
Imaging enhancement for acoustic-resolution photoacoustic microscopy by deep learning
inferred← citeshttps://doi.org/10.1109/ojemb.2024.3402998openalex-snapshot
Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation
inferred← citeshttps://doi.org/10.1109/tap.2022.3159680openalex-snapshot
Deep-Learning-Enabled Microwave-Induced Thermoacoustic Tomography Based on Sparse Data for Breast Cancer Detection
inferred← citeshttps://doi.org/10.1109/tbme.2019.2931195openalex-snapshot
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound
inferred← citeshttps://doi.org/10.1109/tci.2020.2990299openalex-snapshot
Multi-Scale Learned Iterative Reconstruction
inferred← citeshttps://doi.org/10.1109/tci.2021.3085534openalex-snapshot
SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees
inferred← citeshttps://doi.org/10.1109/tci.2021.3093003openalex-snapshot
Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction
inferred← citeshttps://doi.org/10.1109/tci.2021.3125564openalex-snapshot
CoIL: Coordinate-Based Internal Learning for Tomographic Imaging
inferred← citeshttps://doi.org/10.1109/tci.2021.3132190openalex-snapshot
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems
inferred← citeshttps://doi.org/10.1109/tci.2022.3155379openalex-snapshot
AS-Net: Fast Photoacoustic Reconstruction With Multi-Feature Fusion From Sparse Data
inferred← citeshttps://doi.org/10.1109/tci.2022.3233188openalex-snapshot
An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction
inferred← citeshttps://doi.org/10.1109/tci.2025.3550716openalex-snapshot
PACformer: A Multi-Stage Heterogeneous Convolutional-Vision Transformer for Sparse-View Photoacoustic Tomography Restoration
inferred← citeshttps://doi.org/10.1109/tci.2025.3572699openalex-snapshot
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications
inferred← citeshttps://doi.org/10.1109/tci.2025.3643726openalex-snapshot
High Temporal-Lateral Resolution Photoacoustic Microscopy Imaging With Dual Branch Graph Induced Fusion Network
inferred← citeshttps://doi.org/10.1109/tci.2026.3678407openalex-snapshot
ADOBI: Adaptive Diffusion Bridge for Blind Inverse Problems With Application to MRI Reconstruction
inferred← citeshttps://doi.org/10.1109/tcsi.2025.3584666openalex-snapshot
Hardware Architecture Design for Iterative Reconstruction Algorithms Toward Palm-Size Photoacoustic Tomography
inferred← citeshttps://doi.org/10.1109/tim.2022.3209751openalex-snapshot
Spatial and Temporal Regularized Iterative Deep Neural Network for Non-Stationary Image Reconstruction of Electrical Impedance Tomography
inferred← citeshttps://doi.org/10.1109/tim.2025.3572167openalex-snapshot
Integrating Kolmogorov–Arnold Network and UNet Architecture for Reconstruction of 3-D Electrical Impedance Tomography to Assess the Efficacy of Tumor Treating Fields
inferred← citeshttps://doi.org/10.1109/tip.2021.3120053openalex-snapshot
A Deep Learning-Based Model That Reduces Speed of Sound Aberrations for Improved In Vivo Photoacoustic Imaging
inferred← citeshttps://doi.org/10.1109/tip.2025.3526065openalex-snapshot
Acoustic Resolution Photoacoustic Microscopy Imaging Enhancement: Integration of Group Sparsity With Deep Denoiser Prior
inferred← citeshttps://doi.org/10.1109/tla.2022.9757745openalex-snapshot
A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
inferred← citeshttps://doi.org/10.1109/tmi.2018.2815760openalex-snapshot
A Bayesian Approach to Eigenspectra Optoacoustic Tomography
inferred← citeshttps://doi.org/10.1109/tmi.2018.2828303openalex-snapshot
Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/tmi.2019.2922026openalex-snapshot
A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation
inferred← citeshttps://doi.org/10.1109/tmi.2019.2928740openalex-snapshot
Simultaneous Photoacoustic Imaging and Cavitation Mapping in Shockwave Lithotripsy
inferred← citeshttps://doi.org/10.1109/tmi.2020.2981835openalex-snapshot
Model-Based Reconstruction of Large Three-Dimensional Optoacoustic Datasets
inferred← citeshttps://doi.org/10.1109/tmi.2020.2986781openalex-snapshot
Deep Learning for Ultrasound Localization Microscopy
inferred← citeshttps://doi.org/10.1109/tmi.2020.2996240openalex-snapshot
Multispectral Interlaced Sparse Sampling Photoacoustic Tomography
inferred← citeshttps://doi.org/10.1109/tmi.2020.3031541openalex-snapshot
Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning
inferred← citeshttps://doi.org/10.1109/tmi.2021.3136461openalex-snapshot
A Model-Based Iterative Learning Approach for Diffuse Optical Tomography
inferred← citeshttps://doi.org/10.1109/tmi.2021.3137060openalex-snapshot
Deep-E: A Fully-Dense Neural Network for Improving the Elevation Resolution in Linear-Array-Based Photoacoustic Tomography.
inferred← citeshttps://doi.org/10.1109/tmi.2022.3158474openalex-snapshot
Deep Learning-Based Photoacoustic Imaging of Vascular Network Through Thick Porous Media
inferred← citeshttps://doi.org/10.1109/tmi.2022.3192072openalex-snapshot
Deep and Domain Transfer Learning Aided Photoacoustic Microscopy: Acoustic Resolution to Optical Resolution
inferred← citeshttps://doi.org/10.1109/tmi.2023.3271390openalex-snapshot
Mitigating the Limited View Problem in Photoacoustic Tomography for a Planar Detection Geometry by Regularized Iterative Reconstruction
inferred← citeshttps://doi.org/10.1109/tmi.2023.3331198openalex-snapshot
Moving Beyond Simulation: Data-Driven Quantitative Photoacoustic Imaging Using Tissue-Mimicking Phantoms
inferred← citeshttps://doi.org/10.1109/tmi.2025.3588789openalex-snapshot
Self-Supervised Upsampling for Reconstructions With Generalized Enhancement in Photoacoustic Computed Tomography
inferred← citeshttps://doi.org/10.1109/tmtt.2024.3439551openalex-snapshot
Deep-Learning-Based Microwave-Induced Thermoacoustic Tomography Applying Realistic Properties of Ultrasound Transducer
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