Datasets

subject: Informatics type: dataset

Total is 6 Results
Population-specific brain atlases for early-to-middle adolescent collision-sport athletes

10.4231/6BAR-6W02

Apekshya Chhetri , Ho-Ching Yang ORCID logo , Joseph V Rispoli ORCID logo , Pratik Kashyap , Thomas M Talavage ORCID logo , Wenbin Zhu , Yukai Zou ORCID logo

08/03/2020

Population-specific brain atlases for early-to-middle adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, a T1-weighted template, and a DTI template.

Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience NIfTI Spatial Normalization Statistical Methods Trauma Workflow

Population-specific brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database

10.4231/XGNK-JX08

Ho-Ching Yang ORCID logo , Joseph V Rispoli ORCID logo , Thomas M Talavage ORCID logo , Wenbin Zhu , Yukai Zou ORCID logo

11/06/2019

Unbiased population-specific brain atlas for local adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, a T1-weighted template, and a DTI template.

Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience NIfTI Spatial Normalization Spatial Warping Statistical Methods Trauma Workflow

Population-specific brain atlases for early-to-middle adolescent collision-sport athletes

10.4231/RTXE-0Q70

Apekshya Chhetri , Ho-Ching Yang ORCID logo , Joseph V Rispoli ORCID logo , Pratik Kashyap , Thomas M Talavage ORCID logo , Wenbin Zhu , Yukai Zou ORCID logo

10/28/2020

Population-specific brain atlases for early-to-middle adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including cortical and white matter parcellations, T1-weighted templates, and a DTI template.

Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience NIfTI Spatial Normalization Statistical Methods Trauma Workflow

Deep Learning of CYP450 Binding of Small Molecules by Quantum Information

10.4231/SCF2-QJ02

Koushiki Basu ORCID logo , Nicholas Huls , Shan Lu , Tonglei Li ORCID logo

11/06/2024

We implemented the Manifold Embedding of Molecular Surface approach, which retains the quantum mechanical characteristics of molecules, to predict a drug's likelihood of binding to cytochrome P450 enzymes by deep learning.

deep learning Informatics Machine Learning Molecular Pharmacology

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