Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels | Paper Citation Record

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This paper cites Spatial domain filtering for fast modification of the tradeoff between image sharpness 23 and pixel noise in computed tomography.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Spatial domain filtering for fast modification of the tradeoff between image sharpness 23 and pixel noise in computed tomography

Reference 1

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This paper cites CT Scan Transformation from a Sharp to a Soft Reconstruction Kernel Using Filtering Techniques.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels CT Scan Transformation from a Sharp to a Soft Reconstruction Kernel Using Filtering Techniques

Reference 2

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This paper cites Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography

Reference 3

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This paper cites Emphysema: Effect of reconstruction algorithm on CT imaging measures.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Emphysema: Effect of reconstruction algorithm on CT imaging measures

Reference 4

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This paper cites Effects of CT Section Thickness and Reconstruction Kernel on Emphysema Quantification.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Effects of CT Section Thickness and Reconstruction Kernel on Emphysema Quantification

Reference 5

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This paper cites Computed Tomography-based Body Composition Analysis and Its Role in Lung Cancer Care.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Computed Tomography-based Body Composition Analysis and Its Role in Lung Cancer Care

Reference 6

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This paper cites Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks with Dilated Convolutions.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks with Dilated Convolutions

Reference 7

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This paper cites Reproducibility of CT radiomic features within the same patient: Influence of radiation dose and CT reconstruction settings.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Reproducibility of CT radiomic features within the same patient: Influence of radiation dose and CT reconstruction settings

Reference 8

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This paper cites Impact of CT Convolution Kernel on Robustness of Radiomic Features for Different Lung Diseases and Tissue Types.; 2021.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Impact of CT Convolution Kernel on Robustness of Radiomic Features for Different Lung Diseases and Tissue Types.; 2021

Reference 9

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This paper cites Image filtering as an alternative to the application of a different reconstruction kernel in CT imaging: Feasibility study in lung cancer screening.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Image filtering as an alternative to the application of a different reconstruction kernel in CT imaging: Feasibility study in lung cancer screening

Reference 10

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This paper cites CT-HARMONICA: physics-based CT harmonization for reliable lung density quantification.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels CT-HARMONICA: physics-based CT harmonization for reliable lung density quantification

Reference 11

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This paper cites Automated technique to measure noise in clinical CT examinations.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Automated technique to measure noise in clinical CT examinations

Reference 12

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This paper cites Harmonizing CT images via physics-based deep neural networks.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Harmonizing CT images via physics-based deep neural networks

Reference 13

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This paper cites A Physics-informed Deep Neural Network for Harmonization of CT Images.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels A Physics-informed Deep Neural Network for Harmonization of CT Images

Reference 14

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This paper cites CT image conversion among different reconstruction Kernels without a sinogram by using a convolutional neural network.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels CT image conversion among different reconstruction Kernels without a sinogram by using a convolutional neural network

Reference 15

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This paper cites Accurate image super-resolution using very deep convolutional networks.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Accurate image super-resolution using very deep convolutional networks

Reference 16

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This paper cites CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels

Reference 17

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This paper cites Deep Learning–based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Deep Learning–based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or Masses

Reference 18

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This paper cites Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT

Reference 19

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This paper cites Image-to-Image Translation: Methods and Applications.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Image-to-Image Translation: Methods and Applications

Reference 20

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Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Image-to-image translation with conditional adversarial networks

Reference 21

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This paper cites Unpaired Image-to-Image Translation Using Cycle- Consistent Adversarial Networks.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Unpaired Image-to-Image Translation Using Cycle- Consistent Adversarial Networks

Reference 22

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This paper cites CT Image Harmonization for Enhancing Radiomics Studies.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels CT Image Harmonization for Enhancing Radiomics Studies

Reference 23

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This paper cites Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation

Reference 24

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This paper cites Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks

Reference 25

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This paper cites Continuous Conversion of CT Kernel Using Switchable CycleGAN with AdaIN.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Continuous Conversion of CT Kernel Using Switchable CycleGAN with AdaIN

Reference 26

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This paper cites Cross-Vendor CT Image Data Harmonization Using CVH-CT.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Cross-Vendor CT Image Data Harmonization Using CVH-CT

Reference 27

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This paper cites Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Leveraging CycleGAN in Lung CT Sinogram-free Kernel Conversion

Reference 28

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This paper cites TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images • Content codes.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images • Content codes

Reference 29

Resolution: verified exact; doi, observed 2026-08-07T13:09:13.912962Z

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This paper cites Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation

Reference 30

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This paper cites New England Journal of Medicine.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels New England Journal of Medicine

Reference 31

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This paper cites Description and implementation of a quality control program in an imaging-based clinical trial.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Description and implementation of a quality control program in an imaging-based clinical trial

Reference 32

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This paper cites CT quality assurance in the lung screening study component of the national lung screening trial: Implications for multicenter imaging trials.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels CT quality assurance in the lung screening study component of the national lung screening trial: Implications for multicenter imaging trials

Reference 33

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This paper cites The National Lung Screening Trial: Overview and Study Design.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels The National Lung Screening Trial: Overview and Study Design

Reference 34

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This paper cites The first step for neuroimaging data analysis: DICOM to NIfTI conversion.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels The first step for neuroimaging data analysis: DICOM to NIfTI conversion

Reference 35

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Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Perceptual Losses for Real-Time Style Transfer and Super- Resolution

Reference 36

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This paper cites Adam: A Method for Stochastic Optimization.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Adam: A Method for Stochastic Optimization

Reference 37

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Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Least Squares Generative Adversarial Networks

Reference 38

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This paper cites Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

Reference 39

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This paper cites Optimal threshold in CT quantification of emphysema.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Optimal threshold in CT quantification of emphysema

Reference 40

Resolution: verified exact; doi, observed 2026-08-07T13:09:12.657941Z

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This paper cites Comparison of Computed Density and Microscopic Morphometry in Pulmonary Emphysema.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Comparison of Computed Density and Microscopic Morphometry in Pulmonary Emphysema

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:22.069194Z

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This paper cites Quantitative validation of the severity of emphysema by multi-detector CT.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Quantitative validation of the severity of emphysema by multi-detector CT

Reference 42

Resolution: verified exact; doi, observed 2026-08-07T13:09:12.455117Z

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This paper cites Measurement STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Measurement STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

Reference 43

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This paper cites The bootstrap: A technique for data-driven statistics.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels The bootstrap: A technique for data-driven statistics

Reference 44

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Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Unresolved cited work

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This paper cites Distribution matching losses can hallucinate features in medical image translation.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Distribution matching losses can hallucinate features in medical image translation

Reference 46

Resolution: verified exact; doi, observed 2026-08-07T13:09:11.921651Z

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Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Unresolved cited work

Reference 47

Resolution: verified exact; doi, observed 2026-08-07T13:09:12.163673Z

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This paper cites Statistical Power Analysis for the Behavioral Sciences Second Edition.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Statistical Power Analysis for the Behavioral Sciences Second Edition

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:21.116004Z

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This paper cites Emphysema quantification using low-dose computed tomography with deep learning–based kernel conversion comparison.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Emphysema quantification using low-dose computed tomography with deep learning–based kernel conversion comparison

Reference 49

Resolution: verified exact; doi, observed 2026-08-07T13:09:11.604785Z

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This paper cites Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumonia.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Automated lung vessel segmentation reveals blood vessel volume redistribution in viral pneumonia

Reference 50

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:09:18.242368Z

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This paper cites Quantitative CT Analysis in Chronic Hypersensitivity Pneumonitis: A Convolutional Neural Network Approach.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Quantitative CT Analysis in Chronic Hypersensitivity Pneumonitis: A Convolutional Neural Network Approach

Reference 51

Resolution: verified exact; doi, observed 2026-08-07T13:09:11.052566Z

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This paper cites Quantification of pathologic air trapping in lung transplant patients using ct density mapping: Comparison with other ct air trapping measures.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Quantification of pathologic air trapping in lung transplant patients using ct density mapping: Comparison with other ct air trapping measures

Reference 52

Resolution: verified exact; doi, observed 2026-08-07T13:09:10.771914Z

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This paper cites CT-definable subtypes of chronic obstructive pulmonary disease: A statement of the fleischner society1.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels CT-definable subtypes of chronic obstructive pulmonary disease: A statement of the fleischner society1

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:09:20.889216Z

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This paper cites Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective

Reference 57

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This paper cites an unresolved cited work.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Unresolved cited work

Reference 100

Resolution: verified exact; doi, observed 2026-08-07T13:09:16.660813Z

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Observation 6df4149a-b14a-4cd0-a4dc-c46549170655 · outbound

This paper cites an unresolved cited work.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Unresolved cited work

Reference 205

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Observation 88572cf2-fc53-4c37-b93f-764c01bada8b · outbound

This paper cites an unresolved cited work.

Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels Unresolved cited work

Reference 2024

Resolution: verified exact; doi, observed 2026-08-07T13:09:14.401346Z

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