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...
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...
Distortion correction of functional MRI without reverse phase encoding scans or field maps
Aug. 31, 2023—Tian Yu, Leon Y. Cai, Salvatore Torrisi, An Thanh Vu, Victoria L. Morgan, Sarah E. Goodale, Karthik Ramadass, Steven L. Meisler, Jinglei Lv, Aaron E.L. Warren, Dario J. Englot, Laurie Cutting, Catie Chang, John C. Gore, Bennett A. Landman, Kurt G. Schilling Paper: https://www.sciencedirect.com/science/article/pii/S0730725X23001121 Code: https://github.com/MASILab/SynBOLD-DisCo Abstract Functional magnetic resonance images (fMRI) acquired using echo planar sequences...
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation
Aug. 31, 2023—Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai , Riqiang Gao, Ho Hin Lee, Thomas Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang Paper: https://arxiv.org/abs/2209.14378 Code: https://github.com/Project-MONAI/model-zoo/tree/dev/models Abstract Transformer-based models, capable of learning better global dependencies, have recently demonstrated exceptional repre- sentation learning capabilities...
Functional alterations in bipartite network of white and grey matters during aging
Aug. 31, 2023—Yurui Gao, Yu Zhao, Muwei Li, Richard D Lawless, Kurt G Schilling, Lyuan Xu, Andrea T Shafer, Lori L Beason-Held, Susan M Resnick, Baxter P Rogers, Zhaohua Ding, Adam W Anderson, Bennett A Landman, John C Gore. Paper: https://pubmed.ncbi.nlm.nih.gov/37473978/ Abstract The effects of normal aging on functional connectivity (FC) within various brain networks of gray matter...
Efficient approximate signal reconstruction for correction of gradient nonlinearities in diffusion-weighted imaging
Aug. 31, 2023—Praitayini Kanakaraj, Leon Y. Cai, Tianyuan Yao, Francois Rheault, Baxter P. Rogers, Adam Anderson, Kurt G. Schilling, Bennett A. Landman. Magn Reson Imaging. 2023 Oct Full Text Abstract In diffusion weighted MRI (DW-MRI), hardware nonlinearities lead to spatial variations in the orientation and magnitude of diffusion weighting. While the correction of these spatial distortions has...
pyPheWAS Explorer: a visualization tool for exploratory analysis of phenome-disease associations
Aug. 31, 2023—Cailey I. Kerley, Karthik Ramadass, Tin Q. Nguyen, Laurie E. Cutting, Bennett A. Landman, Matthew Berger Paper: https://pubmed.ncbi.nlm.nih.gov/37021295/ Code: https://github.com/MASILab/pyPheWAS Abstract Objective To enable interactive visualization of phenome-wide association studies (PheWAS) on electronic health records (EHR). Materials and Methods Current PheWAS technologies require familiarity with command-line interfaces and lack end-to-end data visualizations. pyPheWAS Explorer allows users to...
Mapping the impact of nonlinear gradient fields with noise on diffusion MRI
Aug. 31, 2023—Praitayini Kanakaraj, Leon Y. Cai, Francois Rheault, Fang-Cheng Yeh, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman (2023). Mapping the impact of nonlinear gradient fields with noise on diffusion MRI. Magn Reson Imaging. 2023 May Full Text Abstract In diffusion MRI, gradient nonlinearities cause spatial variations in the magnitude and direction of diffusion gradients. Studies...
Denoising of diffusion MRI in the cervical spinal cord – effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity
Aug. 31, 2023—Kurt Schilling, Shreyas Fadnavis, Joshua Batson, Mereze Visagie, Anna JE Combes, Colin D Mcknight, Francesca Bagnato, Eleftherios Garyfallidis, Bennett A Landman, Seth A Smith, Kristin P O’Grady Paper: https://pubmed.ncbi.nlm.nih.gov/36543265/ Abstract Quantitative diffusion MRI (dMRI) is a promising technique for evaluating the spinal cord in health and disease. However, low signal-to-noise ratio (SNR) can impede interpretation and...
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training
Aug. 31, 2023—Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo , Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman. Objective: Thigh muscle group segmentation is important for assessment of muscle anatomy, metabolic disease and aging. Many efforts have been put into quantifying muscle tissues with magnetic resonance...