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Nancy R Newlin

Showing results (21-30 of 47) with videos related to

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Arxiv|February 12, 2024
Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across SitesHanliang Xu, Nancy R Newlin, Michael E Kim, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 26, 2024
Characterizing patterns of diffusion tensor imaging variance in aging brainsChenyu Gao, Qi Yang, Michael E Kim, et al.
Medrxiv : the Preprint Server for Health Sciences|September 4, 2023
Characterizing patterns of diffusion tensor imaging variance in aging brainsChenyu Gao, Qi Yang, Michael E Kim, et al.
Research Square|November 28, 2023
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted ImagesPraitayini Kanakaraj, Tianyuan Yao, Leon Y Cai, et al.
Neuroinformatics|March 25, 2024
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted ImagesPraitayini Kanakaraj, Tianyuan Yao, Leon Y Cai, et al.
Plos One|August 1, 2025
Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasetsMichael E Kim, Chenyu Gao, Nancy R Newlin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 24, 2024
Empirical assessment of the assumptions of ComBat with diffusion tensor imagingMichael E Kim, Chenyu Gao, Leon Y Cai, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 7, 2024
Data-driven nucleus subclassification on colon hematoxylin and eosin using style-transferred digital pathologyLucas W Remedios, Shunxing Bao, Samuel W Remedios, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 10, 2025
Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairmentNancy R Newlin, Michael E Kim, Praitayini Kanakaraj, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 23, 2024
Predicting Age from White Matter Diffusivity with Residual LearningChenyu Gao, Michael E Kim, Ho Hin Lee, et al.
Pageof 5

Showing results (21-30 of 47) with videos related to

Sort By:
Pageof 5
Arxiv|February 12, 2024
Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across SitesHanliang Xu, Nancy R Newlin, Michael E Kim, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 26, 2024
Characterizing patterns of diffusion tensor imaging variance in aging brainsChenyu Gao, Qi Yang, Michael E Kim, et al.
Medrxiv : the Preprint Server for Health Sciences|September 4, 2023
Characterizing patterns of diffusion tensor imaging variance in aging brainsChenyu Gao, Qi Yang, Michael E Kim, et al.
Research Square|November 28, 2023
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted ImagesPraitayini Kanakaraj, Tianyuan Yao, Leon Y Cai, et al.
Neuroinformatics|March 25, 2024
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted ImagesPraitayini Kanakaraj, Tianyuan Yao, Leon Y Cai, et al.
Plos One|August 1, 2025
Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasetsMichael E Kim, Chenyu Gao, Nancy R Newlin, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 24, 2024
Empirical assessment of the assumptions of ComBat with diffusion tensor imagingMichael E Kim, Chenyu Gao, Leon Y Cai, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 7, 2024
Data-driven nucleus subclassification on colon hematoxylin and eosin using style-transferred digital pathologyLucas W Remedios, Shunxing Bao, Samuel W Remedios, et al.
Journal of Medical Imaging (Bellingham, Wash.)|November 10, 2025
Harmonizing 10,000 connectomes: site-invariant representation learning for multi-site analysis of network connectivity and cognitive impairmentNancy R Newlin, Michael E Kim, Praitayini Kanakaraj, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 23, 2024
Predicting Age from White Matter Diffusivity with Residual LearningChenyu Gao, Michael E Kim, Ho Hin Lee, et al.
Pageof 5