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Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

https://doi.org/10.1109/tmi.2017.2715284

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Few‐view image reconstruction combining total variation and a high‐order norm

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The Importance of Skip Connections in Biomedical Image Segmentation

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Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior

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Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study

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Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm

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Statistical iterative reconstruction using adaptive fractional order regularization

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aLow-dose CT via convolutional neural network

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Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections

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Deblurring for spiral real‐time MRI using convolutional neural networks

inferred← citeshttps://doi.org/10.1002/nbm.4433openalex-snapshot

Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning

inferred← citeshttps://doi.org/10.1002/widm.1490openalex-snapshot

Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions

inferred← citeshttps://doi.org/10.1007/978-3-030-00129-2_13openalex-snapshot

Deep Learning Based Image Reconstruction for Diffuse Optical Tomography

inferred← citeshttps://doi.org/10.1007/978-3-030-00500-9_1openalex-snapshot

Learning Real Noise for Ultra-Low Dose Lung CT Denoising

inferred← citeshttps://doi.org/10.1007/978-3-030-00928-1_18openalex-snapshot

Adversarial Sparse-View CBCT Artifact Reduction

inferred← citeshttps://doi.org/10.1007/978-3-030-03009-4_82-1openalex-snapshot

Deep Learning Methods for Limited Data Problems in X-Ray Tomography

inferred← citeshttps://doi.org/10.1007/978-3-030-13969-8_14openalex-snapshot

Generative Low-Dose CT Image Denoising

inferred← citeshttps://doi.org/10.1007/978-3-030-26763-6_23openalex-snapshot

A Fractional-Order Variational Residual CNN for Low Dose CT Image Denoising

inferred← citeshttps://doi.org/10.1007/978-3-030-26957-9_2openalex-snapshot

Cone-Beam CT Systems

inferred← citeshttps://doi.org/10.1007/978-3-030-27053-7_92openalex-snapshot

Sparse-View CT Reconstruction Based on Improved Re-Sidual Network

inferred← citeshttps://doi.org/10.1007/978-3-030-32226-7_37openalex-snapshot

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT

inferred← citeshttps://doi.org/10.1007/978-3-030-32248-9_2openalex-snapshot

A Two-Stage Multi-loss Super-Resolution Network for Arterial Spin Labeling Magnetic Resonance Imaging

inferred← citeshttps://doi.org/10.1007/978-3-030-32486-5_13openalex-snapshot

Deriving Lung Perfusion Directly from CT Image Using Deep Convolutional Neural Network: A Preliminary Study

inferred← citeshttps://doi.org/10.1007/978-3-030-33128-3_2openalex-snapshot

Medical Image Synthesis via Deep Learning

inferred← citeshttps://doi.org/10.1007/978-3-030-39074-7_4openalex-snapshot

Ultra-DenseNet for Low-Dose X-Ray Image Denoising in Cardiac Catheter-Based Procedures

inferred← citeshttps://doi.org/10.1007/978-3-030-58080-3_316-1openalex-snapshot

Artificial Intelligence in Pediatrics

inferred← citeshttps://doi.org/10.1007/978-3-030-59354-4_7openalex-snapshot

Low-Dose CT Denoising Using Octave Convolution with High and Low Frequency Bands

inferred← citeshttps://doi.org/10.1007/978-3-030-63830-6_36openalex-snapshot

Low-Dose CT Image Blind Denoising with Graph Convolutional Networks

inferred← citeshttps://doi.org/10.1007/978-3-030-64573-1_316openalex-snapshot

Artificial Intelligence in Pediatrics

inferred← citeshttps://doi.org/10.1007/978-3-030-64610-3_11openalex-snapshot

Anisotropic Iteratively Re-weighted TV Regularized Reconstruction for Linear Tomosynthesis

inferred← citeshttps://doi.org/10.1007/978-3-030-69951-2_8openalex-snapshot

Medical Imaging Based Diagnosis Through Machine Learning and Data Analysis

inferred← citeshttps://doi.org/10.1007/978-3-030-82367-2_5openalex-snapshot

The Use of Dual Modality PET/MRI in Population Studies: Considerations on Exposures, Economics, Strengths, and Limitations

inferred← citeshttps://doi.org/10.1007/978-3-030-87199-4_58openalex-snapshot

Uncertainty-Guided Progressive GANs for Medical Image Translation

inferred← citeshttps://doi.org/10.1007/978-3-030-87231-1_28openalex-snapshot

Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-030-87231-1_6openalex-snapshot

TransCT: Dual-Path Transformer for Low Dose Computed Tomography

inferred← citeshttps://doi.org/10.1007/978-3-030-87231-1_9openalex-snapshot

Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation

inferred← citeshttps://doi.org/10.1007/978-3-030-87589-3_43openalex-snapshot

TED-Net: Convolution-Free T2T Vision Transformer-Based Encoder-Decoder Dilation Network for Low-Dose CT Denoising

inferred← citeshttps://doi.org/10.1007/978-3-030-87589-3_47openalex-snapshot

Window-Level Is a Strong Denoising Surrogate

inferred← citeshttps://doi.org/10.1007/978-3-030-87602-9_1openalex-snapshot

Low-Dose CT Denoising Using Pseudo-CT Image Pairs

inferred← citeshttps://doi.org/10.1007/978-3-030-92087-6_6openalex-snapshot

How to Build Artificial Intelligence Algorithms for Imaging Applications

inferred← citeshttps://doi.org/10.1007/978-3-030-96285-2_1openalex-snapshot

Material Decomposition and Post-processing: History and Basic Principles

inferred← citeshttps://doi.org/10.1007/978-3-030-98661-2_82openalex-snapshot

Deep Learning Methods for Limited Data Problems in X-Ray Tomography

inferred← citeshttps://doi.org/10.1007/978-3-031-00119-2_11openalex-snapshot

Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging

inferred← citeshttps://doi.org/10.1007/978-3-031-10909-6_58openalex-snapshot

CNS Machine Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_52openalex-snapshot

Low-Dose CT Reconstruction via Dual-Domain Learning and Controllable Modulation

inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_56openalex-snapshot

Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing

inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_60openalex-snapshot

Patch-Wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising

inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_64openalex-snapshot

MRI Reconstruction by Completing Under-sampled K-space Data with Learnable Fourier Interpolation

inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_71openalex-snapshot

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-16446-0_75openalex-snapshot

A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-17247-2_10openalex-snapshot

Deep Denoising Network for X-Ray Fluoroscopic Image Sequences of Moving Objects

inferred← citeshttps://doi.org/10.1007/978-3-031-17247-2_13openalex-snapshot

DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-17247-2_14openalex-snapshot

MTD-GAN: Multi-task Discriminator Based Generative Adversarial Networks for Low-Dose CT Denoising

inferred← citeshttps://doi.org/10.1007/978-3-031-17247-2_9openalex-snapshot

DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-25066-8_29openalex-snapshot

Beyond Local Processing: Adapting CNNs for CT Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-30111-7_47openalex-snapshot

Low Dose CT Image Denoising Using Efficient Transformer with SimpleGate Mechanism

inferred← citeshttps://doi.org/10.1007/978-3-031-36678-9_13openalex-snapshot

Deep Learning—Autoencoders

inferred← citeshttps://doi.org/10.1007/978-3-031-40286-9_13openalex-snapshot

Sparse-View CT Reconstruction via Implicit Neural Intensity Functions

inferred← citeshttps://doi.org/10.1007/978-3-031-43075-6_27openalex-snapshot

Unsupervised Sparse-View Backprojection via Convolutional and Spatial Transformer Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-43827-1_18openalex-snapshot

Deep Learning in Image Processing: Part 2—Image Enhancement, Reconstruction and Registration

inferred← citeshttps://doi.org/10.1007/978-3-031-43898-1_5openalex-snapshot

Federated Condition Generalization on Low-dose CT Reconstruction via Cross-domain Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-43907-0_23openalex-snapshot

Inter-slice Consistency for Unpaired Low-Dose CT Denoising Using Boosted Contrastive Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-43990-2_44openalex-snapshot

Full Image-Index Remainder Based Single Low-Dose DR/CT Self-supervised Denoising

inferred← citeshttps://doi.org/10.1007/978-3-031-43993-3_9openalex-snapshot

Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model

inferred← citeshttps://doi.org/10.1007/978-3-031-43999-5_10openalex-snapshot

Low-Dose CT Image Super-Resolution Network with Dual-Guidance Feature Distillation and Dual-Path Content Communication

inferred← citeshttps://doi.org/10.1007/978-3-031-43999-5_17openalex-snapshot

Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction

inferred← citeshttps://doi.org/10.1007/978-3-031-43999-5_34openalex-snapshot

ASCON: Anatomy-Aware Supervised Contrastive Learning Framework for Low-Dose CT Denoising

inferred← citeshttps://doi.org/10.1007/978-3-031-43999-5_39openalex-snapshot

JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition

inferred← citeshttps://doi.org/10.1007/978-3-031-43999-5_9openalex-snapshot

Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising

inferred← citeshttps://doi.org/10.1007/978-3-031-45121-8_3openalex-snapshot

Development and Evaluation of an Artificial Intelligence-Based System for Pancreatic Cancer Detection and Diagnosis

inferred← citeshttps://doi.org/10.1007/978-3-031-69982-5_18openalex-snapshot

De-noising of Low Dose CT Liver Images Using Improved Discrete Wavelet Transform

inferred← citeshttps://doi.org/10.1007/978-3-031-72104-5_58openalex-snapshot

Region Attention Transformer for Medical Image Restoration

inferred← citeshttps://doi.org/10.1007/978-3-031-72104-5_7openalex-snapshot

All-In-One Medical Image Restoration via Task-Adaptive Routing

inferred← citeshttps://doi.org/10.1007/978-3-031-72111-3_37openalex-snapshot

LUCIDA: Low-Dose Universal-Tissue CT Image Domain Adaptation for Medical Segmentation

inferred← citeshttps://doi.org/10.1007/978-3-031-72120-5_7openalex-snapshot

Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling

inferred← citeshttps://doi.org/10.1007/978-3-031-75653-5_1openalex-snapshot

Deep Learning Techniques for CT Image Denoising and Resolution Enhancement

inferred← citeshttps://doi.org/10.1007/978-3-031-77789-9_2openalex-snapshot

HF-Fed: Hierarchical Based Customized Federated Learning Framework for X-Ray Imaging

inferred← citeshttps://doi.org/10.1007/978-3-031-82768-6_9openalex-snapshot

A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans

inferred← citeshttps://doi.org/10.1007/978-3-031-90084-6_26openalex-snapshot

A Survey on Low-Dose CT Image Denoising Algorithms in IoT

inferred← citeshttps://doi.org/10.1007/978-3-032-04937-7_2openalex-snapshot

Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning

inferred← citeshttps://doi.org/10.1007/978-3-032-05169-1_16openalex-snapshot

Directional Adaptive Shuffle-Based Visual State-Space Models for Medical Image Restoration

inferred← citeshttps://doi.org/10.1007/978-3-032-05169-1_64openalex-snapshot

VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising

inferred← citeshttps://doi.org/10.1007/978-3-032-05325-1_54openalex-snapshot

TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration

inferred← citeshttps://doi.org/10.1007/978-3-032-05325-1_64openalex-snapshot

VQ-SCD: Vector Quantization Meets Unknown Scan Condition Self-supervised Low-Dose CT Denoising

inferred← citeshttps://doi.org/10.1007/978-3-032-08384-5_31openalex-snapshot

Toward Better Optimization of Low-Dose CT Enhancement: A Critical Analysis of Loss Functions and Image Quality Assessment Metrics

inferred← citeshttps://doi.org/10.1007/978-3-032-09569-5_30openalex-snapshot

Feature-Space Kernel Prediction Network for Denoising of Low-Dose Brain CT

inferred← citeshttps://doi.org/10.1007/978-3-032-16102-4_11openalex-snapshot

Attention-Based Unsupervised CT Reconstruction Technique for Low-Dose CT

inferred← citeshttps://doi.org/10.1007/978-3-032-31441-3_6openalex-snapshot

3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising

inferred← citeshttps://doi.org/10.1007/978-3-032-37356-4_22openalex-snapshot

UniH$$^3$$: Unifying Hierarchical Homogeneity and Heterogeneity for All-in-One Medical Image Restoration

inferred← citeshttps://doi.org/10.1007/978-3-032-38179-8_30openalex-snapshot

MoSE: Mixture-of-Scale-Experts for Medical Image Restoration

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