Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images | Paper Citation Record

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This paper cites Initial clinical images from a second-generation prototype silicon-based photon-counting computed tomography system,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Initial clinical images from a second-generation prototype silicon-based photon-counting computed tomography system,

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This paper cites Photon-counting x-ray detectors for ct,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Photon-counting x-ray detectors for ct,

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This paper cites Catsim: a new computer assisted tomography simulation environment,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Catsim: a new computer assisted tomography simulation environment,

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This paper cites Deep-learning-based spectral motion artifact correc- tion on photon-counting cardiac ct images,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Deep-learning-based spectral motion artifact correc- tion on photon-counting cardiac ct images,

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This paper cites Systematic review of synthetic computed tomography generation methodologies for use in magnetic resonance imaging-only radia- tion therapy,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Systematic review of synthetic computed tomography generation methodologies for use in magnetic resonance imaging-only radia- tion therapy,

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This paper cites Medical image synthesis with context-aware generative adversarial networks,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Medical image synthesis with context-aware generative adversarial networks,

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This paper cites Deep mr to ct synthesis using unpaired data,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Deep mr to ct synthesis using unpaired data,

Reference 7

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This paper cites Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

Reference 8

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This paper cites Generative adversarial network in medical imaging: A re- view,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Generative adversarial network in medical imaging: A re- view,

Reference 9

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This paper cites Synthetic ct generation from mri using 3d transformer- based denoising diffusion model,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Synthetic ct generation from mri using 3d transformer- based denoising diffusion model,

Reference 10

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This paper cites Synthesis of virtual monoenergetic images from kilovoltage peak images using wavelet loss enhanced cyclegan for improving radiomics features reproducibil- ity,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Synthesis of virtual monoenergetic images from kilovoltage peak images using wavelet loss enhanced cyclegan for improving radiomics features reproducibil- ity,

Reference 11

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This paper cites Virtual monoenergetic ct imaging via deep learning,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Virtual monoenergetic ct imaging via deep learning,

Reference 12

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This paper cites Image synthesis of monoenergetic ct image in dual-energy ct using kilovoltage ct with deep convolutional generative adversarial networks,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Image synthesis of monoenergetic ct image in dual-energy ct using kilovoltage ct with deep convolutional generative adversarial networks,

Reference 13

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This paper cites Estimating dual-energy ct imaging from single-energy ct data with material decomposition convolutional neural network,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Estimating dual-energy ct imaging from single-energy ct data with material decomposition convolutional neural network,

Reference 14

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This paper cites A quality-checked and physics-constrained deep learning method to estimate material basis images from single-kv contrast-enhanced chest ct scans,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images A quality-checked and physics-constrained deep learning method to estimate material basis images from single-kv contrast-enhanced chest ct scans,

Reference 15

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This paper cites Image quality assessment of deep learning-based vir- tual monoenergetic images from single-energy ct pulmonary angiography,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Image quality assessment of deep learning-based vir- tual monoenergetic images from single-energy ct pulmonary angiography,

Reference 16

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Observation f2f25d85-5ead-4c7c-80d7-61977b3a9f11 · outbound

This paper cites Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Distilling Photon-Counting CT into Routine Chest CT through Clinically Validated Degradation Modeling

Reference 17

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This paper cites Data from lung ct segmentation challenge 2017 (lctsc).

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Data from lung ct segmentation challenge 2017 (lctsc)

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This paper cites Initial clinical images from a second-generation prototype silicon-based photon-counting computed tomography system,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Initial clinical images from a second-generation prototype silicon-based photon-counting computed tomography system,

Reference 19

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This paper cites MATLAB version R2023b.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images MATLAB version R2023b

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This paper cites imregtform: Estimate geometric transformation that aligns two 2-d or 3-d images.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images imregtform: Estimate geometric transformation that aligns two 2-d or 3-d images

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This paper cites Denoising Diffusion Implicit Models.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Denoising Diffusion Implicit Models

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This paper cites Denoising diffusion probabilistic models,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Denoising diffusion probabilistic models,

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This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images U-Net: Convolutional Networks for Biomedical Image Segmentation,

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This paper cites Domain-adversarial training of neural networks,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Domain-adversarial training of neural networks,

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This paper cites Very deep convolutional networks for large-scale image recognition,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Very deep convolutional networks for large-scale image recognition,

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This paper cites Imagenet: A large-scale hierarchical image database,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Imagenet: A large-scale hierarchical image database,

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This paper cites Goodfellow, Y.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Goodfellow, Y

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This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Pytorch: An imperative style, high-performance deep learning library,

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Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Adam: A method for stochastic optimization,

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This paper cites The noise power spectrum in computed x-ray tomography,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images The noise power spectrum in computed x-ray tomography,

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Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Scope of validity of psnr in image/video quality assess- ment,

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This paper cites Image quality assessment: From error visibility to structural similarity,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Image quality assessment: From error visibility to structural similarity,

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Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images The unreasonable effectiveness of deep features as a perceptual metric,

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Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Imagenet classification with deep convolu- tional neural networks,

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This paper cites Mind: Modality independent neigh- bourhood descriptor for multi-modal deformable registration,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images Mind: Modality independent neigh- bourhood descriptor for multi-modal deformable registration,

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This paper cites A method for measuring the presampled mtf of digital radiographic systems using an edge test device,.

Unpaired Deep Learning Synthesis of Photon-Counting CT Material Basis Maps from Non-contrast Energy-Integrating Abdominal CT Images A method for measuring the presampled mtf of digital radiographic systems using an edge test device,

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