Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Harmonizing the National Lung Screening Trial: Kernel resolution and field of view compensation. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Early Lung Cancer Action Project: Overall Design and Findings from Baseline Screening
10.1016/s0140-6736(99)06093-6 · 1999 · External reference
Reduced lung-cancer mortality with low-dose computed tomographic screening
10.1056/nejmoa1102873 · 2011 · External reference
Low-Dose CT Screening for Lung Cancer: Evidence from 2 Decades of Study
10.1148/rycan.2020190058 · 2020 · External reference
The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository
10.1007/s10278-013-9622-7 · 2013 · External reference
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography
10.1200/jco.22.01345 · 2023 · External reference
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
2023 · External reference
Cancer risk estimation combining lung screening ct with clinical data elements
2021 · External reference
Contrastive Patient-level Pretraining Enables Longitudinal and Multimodal Fusion for Lung Cancer Risk Prediction
2025 · External reference
Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation
2023 · External reference
Association of Coronary Artery Calcification and Mortality in the National Lung Screening Trial: A Comparison of Three Scoring Methods
10.1148/radiol.15142062 · 2015 · External reference
AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection
2023 · External reference
Investigating the slice thickness effect on noise and diagnostic content of single-source multi-slice computerized axial tomography
10.25122/jml-2022-0188 · 2023 · External reference
Effect of Reconstruction Parameters on the Quantitative Analysis of Chest Computed Tomography
10.1097/rti.0000000000000389 · 2019 · External reference
Effect of CT image acquisition parameters on diagnostic performance of radiomics in predicting malignancy of pulmonary nodules of different sizes
10.1007/s00330-021-08274-1 · 2022 · External reference
Effects of CT section thickness and reconstruction kernel on emphysema quantification relationship to the magnitude of the CT emphysema index
10.1016/j.acra.2009.08.007 · 2010 · External reference
Spatial domain filtering for fast modification of the tradeoff between image sharpness and pixel noise in computed tomography
10.1109/tmi.2003.815073 · 2003 · External reference
Emphysema: effect of reconstruction algorithm on CT imaging measures
10.1148/radiol.2321030383 · 2004 · External reference
Kernel Conversion for Robust Quantitative Measurements of Archived Chest Computed Tomography Using Deep Learning-Based Image-to-Image Translation
10.3389/frai.2021.769557 · 2022 · External reference
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective
10.1016/j.media.2023.102852 · 2023 · External reference
Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels
10.1002/mp.70120 · 2025 · External reference
Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks
2024 · External reference
Unresolved reference
2025 · External reference
CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network
10.3348/kjr.2018.0249 · 2019 · External reference
Unresolved reference
2022 · External reference
TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images
10.1148/ryai.230024 · 2023 · External reference
The first step for neuroimaging data analysis: DICOM to NIfTI conversion
10.1016/j.jneumeth.2016.03.001 · 2016 · External reference
Image quality with iterative reconstruction techniques in CT of the lungs-A phantom study
10.1016/j.ejro.2018.02.002 · 2018 · External reference
Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography
10.1097/rli.0000000000000540 · 2019 · External reference
Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets
2025 · External reference
Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation.
2024 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Optimal threshold in CT quantification of emphysema
10.1007/s00330-012-2683-z · 2013 · External reference
Measurement statistical methods for assessing agreement between two methods of clinical measurement
10.1016/s0140-6736(86)90837-8 · 1986 · External reference
Unresolved reference
External reference
Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparison
10.1007/s00330-020-07020-3 · 2020 · External reference
A Monte Carlo evaluation of tests for comparing dependent correlations
10.1080/00221300309601282 · 2003 · External reference
Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification
10.1007/s00330-015-3824-y · 2016 · External reference
Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT
10.1088/1361-6560/ab28a1 · 2019 · External reference
Deep learning image reconstruction for CT: technical principles and clinical prospects
10.1148/radiol.221257 · 2023 · External reference
CT Noise-Reduction Methods for Lower-Dose Scanning: Strengths and Weaknesses of Iterative Reconstruction Algorithms and New Techniques
10.1148/rg.2021200196 · 2021 · External reference
