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3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

https://doi.org/10.1109/tmi.2018.2832217
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Generative Adversarial Networks for Noise Reduction in Low-Dose CT
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aLow-dose CT via convolutional neural network

What points at this work

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Denoising swin transformer and perceptual peak signal-to-noise ratio for low-dose CT image denoising
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BMAD-Net: An attention mechanism network using block match for laboratory X-ray Microscopy denoising
inferred← citeshttps://doi.org/10.1016/j.media.2019.03.013openalex-snapshot
DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem
inferred← citeshttps://doi.org/10.1016/j.media.2019.05.001openalex-snapshot
Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network
inferred← citeshttps://doi.org/10.1016/j.media.2019.101552openalex-snapshot
Generative adversarial network in medical imaging: A review
inferred← citeshttps://doi.org/10.1016/j.media.2019.101628openalex-snapshot
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping
inferred← citeshttps://doi.org/10.1016/j.media.2022.102429openalex-snapshot
Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery
inferred← citeshttps://doi.org/10.1016/j.media.2023.102787openalex-snapshot
AIGAN: Attention–encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images
inferred← citeshttps://doi.org/10.1016/j.media.2024.103327openalex-snapshot
Domain adaptive noise reduction with iterative knowledge transfer and style generalization learning
inferred← citeshttps://doi.org/10.1016/j.media.2025.103710openalex-snapshot
Noise-inspired diffusion model for generalizable low-dose CT reconstruction
inferred← citeshttps://doi.org/10.1016/j.media.2025.103866openalex-snapshot
NIFA: Low-dose CT imaging via noise intensity field aware networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.10.114openalex-snapshot
OASIS: One-pass aligned atlas set for medical image segmentation
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.12.096openalex-snapshot
Sparse-view cone beam CT reconstruction using dual CNNs in projection domain and image domain
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.01.012openalex-snapshot
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127473openalex-snapshot
Noise aware content-noise complementary GAN with local and global discrimination for low-dose CT denoising
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132751openalex-snapshot
EMDT: Efficient multi-scale denoising transformer for low-dose CT images
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132956openalex-snapshot
Hi-PET: A hybrid framework for resource-efficient 3D low-dose brain positron emission tomography image denoising
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2020.116831openalex-snapshot
Generalization of diffusion magnetic resonance imaging–based brain age prediction model through transfer learning
inferred← citeshttps://doi.org/10.1016/j.nima.2022.167625openalex-snapshot
SCRDN: Residual dense network with self-calibrated convolutions for low dose CT image denoising
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.109606openalex-snapshot
Multi-level progressive transfer learning for cervical cancer dose prediction
inferred← citeshttps://doi.org/10.1016/j.patcog.2024.111285openalex-snapshot
Self-supervised noise2noise method utilizing corrupted images with a modular network for LDCT denoising
inferred← citeshttps://doi.org/10.1016/j.xcrm.2023.101119openalex-snapshot
Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction
inferred← citeshttps://doi.org/10.1016/j.xinn.2023.100539openalex-snapshot
Towards full-stack deep learning-empowered data processing pipeline for synchrotron tomography experiments
inferred← citeshttps://doi.org/10.1017/s0962492919000059openalex-snapshot
Solving inverse problems using data-driven models
inferred← citeshttps://doi.org/10.1021/acs.analchem.3c04608openalex-snapshot
Revealing the Denoising Principle of Zero-Shot N2N-Based Algorithm from 1D Spectrum to 2D Image
inferred← citeshttps://doi.org/10.1021/acs.iecr.9b02450openalex-snapshot
A Deep Learning Image-Based Sensor for Real-Time Crystal Size Distribution Characterization
inferred← citeshttps://doi.org/10.1038/s41524-023-01011-wopenalex-snapshot
A machine learning model for textured X-ray scattering and diffraction image denoising
inferred← citeshttps://doi.org/10.1038/s41597-021-00893-zopenalex-snapshot
LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction
inferred← citeshttps://doi.org/10.1038/s41598-020-62586-8openalex-snapshot
Automatic mandibular canal detection using a deep convolutional neural network
inferred← citeshttps://doi.org/10.1038/s41598-020-64165-3openalex-snapshot
Stepwise PathNet: a layer-by-layer knowledge-selection-based transfer learning algorithm
inferred← citeshttps://doi.org/10.1038/s41598-020-64733-7openalex-snapshot
Deep Learning-based Inaccuracy Compensation in Reconstruction of High Resolution XCT Data
inferred← citeshttps://doi.org/10.1038/s41598-020-77923-0openalex-snapshot
A residual dense network assisted sparse view reconstruction for breast computed tomography
inferred← citeshttps://doi.org/10.1038/s41598-021-81525-9openalex-snapshot
Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classification
inferred← citeshttps://doi.org/10.1038/s41598-024-83517-xopenalex-snapshot
Self-supervised denoising of grating-based phase-contrast computed tomography
inferred← citeshttps://doi.org/10.1038/s41598-025-10139-2openalex-snapshot
Low-dose computed tomography image denoising using pixel level non-local self-similarity prior with non-local means for healthcare informatics
inferred← citeshttps://doi.org/10.1038/s41598-025-10495-zopenalex-snapshot
Advancing X-ray quantum imaging through Monte-Carlo simulations
inferred← citeshttps://doi.org/10.1038/s42256-019-0057-9openalex-snapshot
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
inferred← citeshttps://doi.org/10.1039/d5ay01701gopenalex-snapshot
DARA-Net: a dual-path residual attention network for denoising AFM images under complex noise conditions
inferred← citeshttps://doi.org/10.1049/cit2.12118openalex-snapshot
Bilateral U‐Net semantic segmentation with spatial attention mechanism
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.6582openalex-snapshot
SDCA: a novel stack deep convolutional autoencoder – an application on retinal image denoising
inferred← citeshttps://doi.org/10.1055/a-1248-2556openalex-snapshot
Deep Learning CT Image Reconstruction in Clinical Practice
inferred← citeshttps://doi.org/10.1080/08839514.2024.2351714openalex-snapshot
An Evaluation Method of Dental Treatment Quality Combined with Deep Learning and Multi-index Decomposition
inferred← citeshttps://doi.org/10.1080/09205071.2022.2113444openalex-snapshot
Comparison of U-Net and OASRN neural network for microwave imaging
inferred← citeshttps://doi.org/10.1080/13682199.2025.2484120openalex-snapshot
Tomographic image reconstruction from projections using generative AI
inferred← citeshttps://doi.org/10.1080/21681163.2022.2044908openalex-snapshot
Are all shortcuts in encoder–decoder networks beneficial for CT denoising?
inferred← citeshttps://doi.org/10.1088/1361-6560/ab4e3eopenalex-snapshot
A dual-stream deep convolutional network for reducing metal streak artifacts in CT images
inferred← citeshttps://doi.org/10.1088/1361-6560/ab8fc1openalex-snapshot
A dual-domain deep learning-based reconstruction method for fully 3D sparse data helical CT
inferred← citeshttps://doi.org/10.1088/1361-6560/aba939openalex-snapshot
Half2Half: deep neural network based CT image denoising without independent reference data
inferred← citeshttps://doi.org/10.1088/1361-6560/abe917openalex-snapshot
Efficient radiation dose reduction in whole-brain CT perfusion imaging using a 3D GAN: performance and clinical feasibility
inferred← citeshttps://doi.org/10.1088/1361-6560/ac08b2openalex-snapshot
Synthesizing PET/MR (T1-weighted) images from non-attenuation-corrected PET images
inferred← citeshttps://doi.org/10.1088/1361-6560/ac0bd2openalex-snapshot
Micro-CT image denoising with an asymmetric perceptual convolutional network
inferred← citeshttps://doi.org/10.1088/1361-6560/ac16c0openalex-snapshot
Generative models improve radiomics reproducibility in low dose CTs: a simulation study
inferred← citeshttps://doi.org/10.1088/1361-6560/ac60b9openalex-snapshot
The stability of oncologic MRI radiomic features and the potential role of deep learning: a review
inferred← citeshttps://doi.org/10.1088/1361-6560/ac7999openalex-snapshot
Deep learning versus iterative reconstruction on image quality and dose reduction in abdominal CT: a live animal study
inferred← citeshttps://doi.org/10.1088/1361-6560/ac7b09openalex-snapshot
Feasibility study of three-material decomposition in dual-energy cone-beam CT imaging with deep learning
inferred← citeshttps://doi.org/10.1088/1361-6560/acba74openalex-snapshot
Deep learning based unpaired image-to-image translation applications for medical physics: a systematic review
inferred← citeshttps://doi.org/10.1088/1361-6560/acefa2openalex-snapshot
Unsupervised learning-based dual-domain method for low-dose CT denoising
inferred← citeshttps://doi.org/10.1088/1361-6560/acf9daopenalex-snapshot
QS-ADN: quasi-supervised artifact disentanglement network for low-dose CT image denoising by local similarity among unpaired data
inferred← citeshttps://doi.org/10.1088/1361-6560/acfc11openalex-snapshot
Reducing the risk of hallucinations with interpretable deep learning models for low-dose CT denoising: comparative performance analysis
inferred← citeshttps://doi.org/10.1088/1361-6560/ad3c91openalex-snapshot
Multi-scale feature aggregation and fusion network with self-supervised multi-level perceptual loss for textures preserving low-dose CT denoising
inferred← citeshttps://doi.org/10.1088/1361-6560/ae28b0openalex-snapshot
MRDT-GAN: generative adversarial network with multi-scale residual dense transformer generator for low-dose CT denoising
inferred← citeshttps://doi.org/10.1088/1361-665x/adc359openalex-snapshot
A deep learning-based approach to improve reconstruction of ultrasound computed tomography with full waveform inversion
inferred← citeshttps://doi.org/10.1088/1742-6596/1964/6/062050openalex-snapshot
An efficient transfer learning-based Super-Resolution model for Medical Ultrasound Image
inferred← citeshttps://doi.org/10.1088/2057-1976/ad9f66openalex-snapshot
Development of a low-dose strategy for propagation-based imaging helical computed tomography (PBI-HCT): high image quality and reduced radiation dose
inferred← citeshttps://doi.org/10.1088/2057-1976/ae6457openalex-snapshot
Vitiligo state assessment based on progressive transfer learning and multimodal domain adaptation
inferred← citeshttps://doi.org/10.1088/2632-2153/ab869fopenalex-snapshot
Synergizing medical imaging and radiotherapy with deep learning
inferred← citeshttps://doi.org/10.1088/2632-2153/ac1d35openalex-snapshot
Joint ptycho-tomography with deep generative priors
inferred← citeshttps://doi.org/10.1093/bjr/tqaf260openalex-snapshot
Deep learning in CT image reconstruction and processing: techniques, performance evaluation, radiation dose, and future perspective
inferred← citeshttps://doi.org/10.1101/2023.02.02.23285376openalex-snapshot
Concurrent 3D super resolution on intensity and segmentation maps improves detection of structural effects in neurodegenerative disease
inferred← citeshttps://doi.org/10.1109/access.2018.2890135openalex-snapshot
Limited-View Cone-Beam CT Reconstruction Based on an Adversarial Autoencoder Network With Joint Loss
inferred← citeshttps://doi.org/10.1109/access.2019.2921013openalex-snapshot
MCDNet – A Denoising Convolutional Neural Network to Accelerate Monte Carlo Radiation Transport Simulations: A Proof of Principle With Patient Dose From X-Ray CT Imaging
inferred← citeshttps://doi.org/10.1109/access.2019.2925863openalex-snapshot
Synthetic Gastritis Image Generation via Loss Function-Based Conditional PGGAN
inferred← citeshttps://doi.org/10.1109/access.2019.2953942openalex-snapshot
Fully Convolutional Pyramidal Residual Network for Material Discrimination of Spectral CT
inferred← citeshttps://doi.org/10.1109/access.2019.2961983openalex-snapshot
High-Frequency Sensitive Generative Adversarial Network for Low-Dose CT Image Denoising
inferred← citeshttps://doi.org/10.1109/access.2020.3002534openalex-snapshot
Image Restoration for Low-Dose CT via Transfer Learning and Residual Network
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