Lung Screening CT Category
Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels
Dec. 5, 2025—Aravind R Krishnan, Thomas Z Li, Lucas W Remedios, Michael E Kim, Chenyu Gao, Gaurav Rudravaram, Elyssa M McMaster, Adam M Saunders, Shunxing Bao, Kaiwen Xu, Lianrui Zuo, Kim L Sandler, Fabien Maldonado, Yuankai Huo, Bennett A Landman, Medical Physics, Volume 52, Issue 11, DOI: https://doi.org/10.1002/mp.70120 Abstract Background Reconstruction kernels in computed tomography (CT) introduce...
Anatomy-Guided Multi-Path CycleGAN for Lung CT Kernel Harmonization
Dec. 5, 2025—Aravind Krishnan, Thomas Li, Lucas Walker Remedios, Kaiwen Xu, Lianrui Zuo, Kim L Sandler, Fabien Maldonado, Bennett Allan Landman, MIDL 2025, Link to paper: https://openreview.net/pdf?id=w3p7GddsQ8 Abstract Accurate quantitative measurement in lung computed tomography (CT) imaging often re- lies on consistent kernel reconstruction across scanners and manufacturers. Harmonization can reduce measurement variability caused by heterogeneous...
Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation
Dec. 1, 2023—Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Išgum, and Bennett A. Landman “Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation”, Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129261D (2 April 2024); https://doi.org/10.1117/12.3006608 Abstract The reconstruction kernel in computed tomography (CT) generation determines the texture of the image. Consistency...
Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation
Sep. 1, 2023—Thomas Z. Li, Ho Hin Lee, Kaiwen Xu, Riqiang Gao, Benoit M. Dawant, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman. Journal of Medical Imaging 10(4), 044002 (2023), doi: 10.1117/1.JMI.10.4.044002. Full Text Abstract Introduction: Anatomy-based quantification of emphysema in a lung screening cohort has the potential to improve lung cancer risk stratification and risk communication....
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model
Aug. 31, 2023—Gao R, Li T, Tang Y, Xu K, Khan M, Kammer M, Antic SL, Deppen S, Huo Y, Lasko TA, Sandler KL, Maldonado F, Landman BA Paper: https://pubmed.ncbi.nlm.nih.gov/36198225/ Code: https://github.com/MASILab/STrUDeL Abstract Objective: Patients with indeterminate pulmonary nodules (IPN) with an intermediate to a high probability of lung cancer generally undergo invasive diagnostic procedures. Chest computed tomography image...
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective. Medical Image Analysis
Aug. 31, 2023—Kaiwen Xu, Thomas Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman Paper: https://www.sciencedirect.com/science/article/pii/S1361841523001123 Code: https://github.com/MASILab/S-EFOV Abstract Field-of-view (FOV) tissue truncation beyond the lungs is common in routine lung screening computed tomography (CT). This poses limitations for opportunistic CT-based body composition (BC) assessment as key anatomical structures...
AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection
Aug. 31, 2023—Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, James G. Terry, Yuankai Huo, Thomas A. Lasko, John Jeffrey Carr, Fabien Maldonado, Bennett A. Landman, Kim L. Sandler Paper: https://pubs.rsna.org/doi/epdf/10.1148/radiol.222937 Abstract Background An artificial intelligence (AI) algorithm has been developed for fully automated body composition assessment of lung cancer screening noncontrast low-dose CT of the...
Extending the value of routine lung screening CT with quantitative body composition assessment
Nov. 28, 2022—Kaiwen Xu, Riqiang Gao, Yucheng Tang, Steve A. Deppen, Kim L. Sandler, Michael N. Kammer, Sanja L. Antic, Fabien Maldonado, Yuankai Huo, Mirza S. Khan, Bennett A. Landman Abstract Certain body composition phenotypes, like sarcopenia, are well established as predictive markers for post-surgery complications and overall survival of lung cancer patients. However, their association with...
Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements
Dec. 9, 2021—Riqiang Gao, Yucheng Tang, Mirza S. Khan, Kaiwen Xu, Alexis B. Paulson, Shelbi Sullivan, Yuankai Huo, Stephen Deppen, Pierre P. Massion, Kim L. Sandler, Bennett A. Landman, Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements, Radiology: Artificial Intelligence (2021). Full Text: https://pubs.rsna.org/doi/10.1148/ryai.2021210032 Abstract Purpose: To develop a model to estimate lung cancer risk using lung...
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT
Aug. 28, 2021—Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman, Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT, Technical report, 2021. Full text: https://arxiv.org/abs/2107.12842 Abstract Image Quality Assessment (IQA) is important for scientific inquiry, especially in medical imaging and machine learning....