Magnetic resonance imaging Category
Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data
Dec. 2, 2025—Adam M. Saunders, Michael E. Kim, Gaurav Rudravaram, Lucas W. Remedios, Chloe Cho, Elyssa M. McMaster, Daniel R. Gillis, Yihao Liu, Lianrui Zuo, Bennett A. Landman, and Tonia S. Rex. Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data. Accepted to SPIE Medical Imaging: Image Processing, February 2026. https://arxiv.org/abs/2511.03767 Abstract Traumatic brain injury...
Vasculature-informed spatial smoothing of white matter functional magnetic resonance imaging
Apr. 18, 2025—Adam M. Saunders, Michael E. Kim, Kurt G. Schilling, John C. Gore, Bennett A. Landman, and Yurui Gao. Vasculature-informed spatial smoothing of white matter functional magnetic resonance imaging. SPIE Medical Imaging: Image Processing, 2025, February, San Diego, California. https://doi.org/10.1117/12.3047240. Abstract Blood oxygenation level-dependent (BOLD) signals in white matter in the brain are anisotropically oriented, so...
A 4D atlas of diffusion-informed spatial smoothing windows for BOLD signal in white matter
Apr. 18, 2025—Adam M. Saunders, Gaurav Rudravaram, Nancy R. Newlin, Michael E. Kim, John C. Gore, Bennett A. Landman, and Yurui Gao. A 4D atlas of diffusion–informed spatial smoothing windows for BOLD signal in white matter. SPIE Medical Imaging: Image Processing, 2025, February, San Diego, California. https://doi.org/10.1117/12.3047240 Abstract Typical methods for preprocessing functional magnetic resonance images (fMRI)...
Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets
Apr. 13, 2025—Michael E. Kim, Karthik Ramadass, Chenyu Gao, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, Derek Archer, Timothy J. Hohman, Zhiyuan Li, Shunxing Bao, Bennett A. Landman, and Nazirah Mohd Khairi. Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. SPIE Medical Imaging: Imaging Informatics, 2025, February, San Diego,...
Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values
Apr. 13, 2025—Adam M. Saunders, Michael E. Kim, Chenyu Gao, Lucas W. Remedios, Aravind R. Krishnan, Kurt G. Schilling, Kristin P. O’Grady, Seth A. Smith, and Bennett A. Landman. Comparison and calibration of MP2RAGE quantitative T1 values to multi-TI inversion recovery T1 values. Magnetic Resonance Imaging, 2025; 117:110322. https://doi.org/10.1016/j.mri.2025.110322. Abstract While typical qualitative T1-weighted magnetic resonance images...
Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement
Nov. 6, 2024—Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Lucas W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman, Super-resolution multi-contrast unbiased eye atlases with deep...
Predicting Age from White Matter Diffusivity with Residual Learning
Dec. 1, 2023—Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Išgum, Bennett A....
Reproducibility evaluation of the effects of MRI defacing on brain segmentation
Nov. 10, 2023—Chenyu Gao, Bennett A. Landman, Jerry L. Prince, Aaron Carass. “Reproducibility evaluation of the effects of MRI defacing on brain segmentation”. J. Med. Imag. 10(6), 064001 (2023), https://doi.org/10.1117/1.JMI.10.6.064001, [PDF] Abstract Purpose Recent advances in magnetic resonance (MR) scanner quality and the rapidly improving nature of facial recognition software have necessitated the introduction of MR defacing...
Characterizing Streamline Count Invariant Graph Measures of Structural Connectomes
Sep. 6, 2023—Nancy R. Newlin, Francois Rheault, Kurt G. Schilling, Bennett A. Landman. “Characterizing Streamline Count Invariant Graph Measures of Structural Connectomes” Journal of Magnetic Resonance Imaging. January 2023. Full Text Background While graph measures are used increasingly to characterize human connectomes, uncertainty remains in how to use these metrics in a quantitative and reproducible manner. Specifically, there is...
Hierarchical Particle Optimization for Cortical Shape Correspondence in Temporal Lobe Resection
Aug. 31, 2023—Yue Liu, Shunxing Bao, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu Paper: https://pubmed.ncbi.nlm.nih.gov/36525831/ Abstract Background: Anterior temporal lobe resection is an effective treatment for temporal lobe epilepsy. The post-surgical structural changes could influence the follow-up treatment. Capturing post-surgical changes necessitates a well-established cortical shape correspondence...