Laurie E. Cutting

According to our database, Laurie E. Cutting authored at least 19 papers between 2006 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

An Artifact-based Agent Framework for Adaptive and Reproducible Medical Image Processing.

Lianrui Zuo, Yihao Liu, Gaurav Rudravaram, Karthik Ramadass, Aravind R. Krishnan, Michael D. Phillips, Yelena G. Bodien, Mayur B. Patel, Paula Trujillo, Yency Forero Martinez, Stephen A. Deppen, Eric L. Grogan, Fabien Maldonado, Kevin McGann, Hudson M. Holmes, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

CoRR, April, 2026

Harmonization Mitigates Diffusion MRI Scanner Effects in Infancy: Insights From the Healthy Brain and Child Development (HBCD) Study.

Elyssa M. McMaster, Gaurav Rudravaram, Michael E. Kim, Trent M. Schwartz, Chloe Scholten, Jongyeon Yoon, Adam M. Saunders, Andre T. S. Hucke, Karthik Ramadass, Emily M. Harriott, Steven L. Meisler, Simon N. Vandekar, Allen T. Newton, Seth A. Smith, Saikat Sengupta, Kathryn L. Humphreys, Sarah Osmundson, Daniel Moyer, Laurie E. Cutting, Bennett A. Landman

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Evaluating Phishing Email Efficacy.

Carlos Olea, Alexander P. Christensen, Lisa Fazio, Laurie E. Cutting, Maxwell Lieb, Jessica Phelan, Alyssa Wise, Holly Tucker

Proceedings of the 2025 Computers and People Research Conference, 2025

2023

Deep whole brain segmentation of 7T structural MRI.

Karthik Ramadass, Xin Yu, Leon Y. Cai, Yucheng Tang, Shunxing Bao, Cailey I. Kerley, Micah D'Archangel, Laura A. Barquero, Allen T. Newton, Isabel Gauthier, Rankin W. McGugin, Benoit M. Dawant, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size.

Cailey I. Kerley, Leon Y. Cai, Yucheng Tang, Lori L. Beason-Held, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis.

Cailey I. Kerley, Shikha Chaganti, Tin Q. Nguyen, Camilo Bermudez, Laurie E. Cutting, Lori L. Beason-Held, Thomas A. Lasko, Bennett A. Landman

Neuroinformatics, 2022

The Angular Gyrus as a Hub for Modulation of Language-related Cortex by Distinct Prefrontal Executive Control Regions.

Hyojeong Kim, Kai Wang, Laurie E. Cutting, Erik G. Willcutt, Stephen A. Petrill, Daniel R. Leopold, Andrew E. Reineberg, Lee A. Thompson, Marie T. Banich

J. Cogn. Neurosci., 2022

Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI.

Karthik Ramadass, Francois Rheault, Leon Y. Cai, Lucas W. Remedios, Micah D'Archangel, Ilwoo Lyu, Laura A. Barquero, Allen T. Newton, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.

Colin B. Hansen, Qi Yang, Ilwoo Lyu, Francois Rheault, Cailey I. Kerley, Bramsh Qamar Chandio, Shreyas Fadnavis, Owen A. Williams, Andrea T. Shafer, Susan M. Resnick, David H. Zald, Laurie E. Cutting, Warren D. Taylor, Brian D. Boyd, Eleftherios Garyfallidis, Adam W. Anderson, Maxime Descoteaux, Bennett A. Landman, Kurt G. Schilling

Neuroinformatics, 2021

2019

3D whole brain segmentation using spatially localized atlas network tiles.

Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman

NeuroImage, 2019

2018

Voxel-wise detection of functional networks in white matter.

Yali Huang, Stephen K. Bailey, Peiguang Wang, Laurie E. Cutting, John C. Gore, Zhaohua Ding

NeuroImage, 2018

Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation.

Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman

CoRR, 2018

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data.

Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations.

Xi Wu, Zhipeng Yang, Stephen K. Bailey, Jiliu Zhou, Laurie E. Cutting, John C. Gore, Zhaohua Ding

NeuroImage, 2017

2016

The relation between 1st grade grey matter volume and 2nd grade math competence.

Gavin R. Price, Eric D. Wilkey, Darren J. Yeo, Laurie E. Cutting

NeuroImage, 2016

Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI.

Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2014

Thalamo-Cortical Connectivity: What Can Diffusion Tractography Tell Us About Reading Difficulties in Children?

Qiuyun Fan, Nicole Davis, Adam W. Anderson, Laurie E. Cutting

Brain Connect., 2014

2013

Not All Reading Disabilities Are Dyslexia: Distinct Neurobiology of Specific Comprehension Deficits.

Laurie E. Cutting, Amy Clements-Stephens, Kenneth R. Pugh, Scott Burns, Aize Cao, James J. Pekar, Nicole Davis, Sheryl L. Rimrodt

Brain Connect., 2013

2006

Differential components of sentence comprehension: Beyond single word reading and memory.

Laurie E. Cutting, Amy Clements-Stephens, Susan Courtney, Sheryl L. Rimrodt, Joanna Schafer, Jeanne Bisesi, James J. Pekar, Kenneth R. Pugh

NeuroImage, 2006