Computed Tomography 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...
Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD
Dec. 5, 2025—Aravind R Krishnan, Yihao Liu, Kaiwen Xu, Michael E Kim, Lucas W Remedios, Gaurav Rudravaram, Adam M Saunders, Bradley W Richmond, Kim L Sandler, Fabien Maldonado, Bennett A Landman, Lianrui Zuo, Medical Imaging 2025: Clinical and Biomedical Imaging, Volume 13410, 531-541 , DOI: https://doi.org/10.1117/12.3048827 Abstract Paired inspiratory-expiratory Computed Tomography (CT) scans enable quantification of gas...
Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks
Apr. 24, 2024—Aravind R. Krishnan, Kaiwen Xu, Thomas Li, Lucas W. Remedios, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman. “Lung CT harmonization of paired reconstruction kernel images using generative adversarial networks.”Med Phys. 2024;1-14.https://doi.org/10.1002/mp.17028 Abstract Background The kernel used in CT image reconstruction is an important factor that determines the texture of the CT image. Consistency of reconstruction...
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...
Characterizing Low-cost Registration for Photographic Images to Computed Tomography
Dec. 1, 2023—Michael E. Kim, Ho Hin Lee, Karthik Ramadass, Chenyu Gao, Katherine Van Schaik, Eric Tkaczyk, Jeffrey Spraggins, Daniel C. Moyer, Bennett A. Landman Biorxiv Link: https://www.biorxiv.org/content/10.1101/2023.09.22.558989v1 Figure 1. We map surfaces of phantom objects obtained from low-cost photogrammetry to surfaces obtained from volumetric CT scans of the phantoms in order to examine if similar...
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...
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation
Aug. 31, 2023—Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo Paper: https://ieeexplore.ieee.org/document/10149329 Code: https://github.com/MASILab/DCC_CL Abstract Medical image segmentation, or computing voxel-wise semantic masks, is a fundamental yet challenging task in medical imaging domain. To increase the ability of encoder-decoder neural networks to perform this task...
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...
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Oct. 6, 2022—Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman, “3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation”, arXiv 2022 Full Text Abstract Vision transformers (ViTs) have quickly superseded convolutional networks (ConvNets) as the current state-of-the-art (SOTA) models for medical image segmentation. Hierarchical transformers (e.g., Swin Transformers) reintroduced several...