Tags: Biomedical Engineering

All Categories (1-20 of 34)

  1. T1-weighted brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database

    2019-11-05 20:18:55 | Datasets | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/4668-DM62

    A population-specific brain atlas based on the T1-weighted MR scans from 215 adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group.

    https://purr.purdue.edu/publications/3096

  2. In vitro CFD, MRI, STB Series

    2019-11-01 21:31:58 | Datasets | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/ZP8A-2G12

    Data from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models, processed using Shake the Box (STB). Associated in vivo MRI and CFD datasets are also provided.

    https://purr.purdue.edu/publications/3322

  3. In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - STB

    2019-11-01 21:06:23 | Datasets | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/FNF9-E631

    In vitro STB dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.

    https://purr.purdue.edu/publications/3312

  4. In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - MRI

    2019-11-01 21:06:01 | Datasets | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/C6DE-N845

    In vivo MRI dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.

    https://purr.purdue.edu/publications/3310

  5. In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - CFD

    2019-11-01 21:00:43 | Datasets | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/5RW6-4Z50

    In silico CFD dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.

    https://purr.purdue.edu/publications/3311

  6. T1-weighted brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database

    2019-09-10 16:31:14 | Datasets | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/4668-DM62

    A population-specific brain atlas based on the T1-weighted MR scans from 215 adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group.

    https://purr.purdue.edu/publications/3096

  7. In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms

    2019-08-19 15:35:56 | Datasets | Contributor(s): Melissa Brindise, Sean Rothenberger, Benjamin Dickerhoff, Susanne Schnell, Michael Markl, David Saloner, Vitaliy Rayz, Pavlos Vlachos | doi:10.4231/M5F1-QC84

    Data from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models, processed using Shake the Box (STB). Associated in vivo MRI and CFD datasets are also provided.

    https://purr.purdue.edu/publications/3136

  8. A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

    2019-07-27 20:25:41 | Datasets | Contributor(s): Matthew C Pharris, Tamara L Kinzer-Ursem | doi:10.4231/MBPK-D277

    This model uses a specialized rule-based syntax in MCell 3.3 to model the twelve-subunit CaMKII holoenzyme without inducing combinatorial explosion. The model allows us to explore the regulation of CaMKII activation and autophosphorylation.

    https://purr.purdue.edu/publications/3138

  9. A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3

    2019-03-07 14:18:02 | Datasets | Contributor(s): Matthew C Pharris, Tamara L Kinzer-Ursem | doi:10.4231/MBPK-D277

    This model uses a specialized rule-based syntax in MCell 3.3 to model the twelve-subunit CaMKII holoenzyme without inducing combinatorial explosion. The model allows us to explore the regulation of CaMKII activation and autophosphorylation.

    https://purr.purdue.edu/publications/3138

  10. T1-weighted brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database

    2019-01-11 18:17:34 | Datasets | Contributor(s): Yukai Zou, Wenbin Zhu, Ho-Ching Yang, Thomas M Talavage, Joseph V Rispoli | doi:10.4231/4668-DM62

    A population-specific brain atlas based on the T1-weighted MR scans from 215 adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group.

    https://purr.purdue.edu/publications/3096

  11. Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity

    2018-07-27 18:46:11 | Datasets | Contributor(s): Matthew C Pharris, Tamara L. Kinzer-Ursem | doi:10.4231/R7ST7N11

    Code for the basic 4-state competitive binding model that builds on previous work by incorporating an additional competitor for calmodulin along with a number of downstream proteins. Also include is sample code for global sensitivity analysis...

    https://purr.purdue.edu/publications/2926

  12. MicroCT based FE model of bone core with tissue heterogeneity and anisotropy

    2018-06-23 17:26:14 | Datasets | Contributor(s): Max A Hammond, Joseph Wallace, Matthew R Allen, Thomas Siegmund | doi:10.4231/R7CC0XX4

    This publication contains a finite element model for the analysis of bone core under consideration of bone tissue heterogeneity and tissue anisotropy.

    https://purr.purdue.edu/publications/3022

  13. MicroCT based FE model of single bone trabeculae with tissue heterogeneity and anisotropy

    2018-06-22 21:21:35 | Datasets | Contributor(s): Max Hammond, Joseph Wallace, Matthew R Allen, Thomas Siegmund | doi:10.4231/R7H41PP9

    This publication contains a finite element model for the analysis of single bone trabeculae under consideration of bone tissue heterogeneity and tissue anisotropy.

    https://purr.purdue.edu/publications/2971

  14. Next Generation Calmodulin Affinity Purification Data

    2018-06-01 00:00:00 | Datasets | Contributor(s): Julia Fraseur, Tamara L Kinzer-Ursem | doi:10.4231/R7Q81B9G

    Coomassie-stained gels used in semi-quantitative analysis of purified calcineurin from calmodulin Sepharose resins.

    https://purr.purdue.edu/publications/2954

  15. Competitive Tuning of Ca2+/Calmodulin-Activated Proteins Provides a Compensatory Mechanism for AMPA Receptor Phosphorylation in Synaptic Plasticity

    2018-02-15 20:47:41 | Datasets | Contributor(s): Matthew C Pharris, Tamara L. Kinzer-Ursem | doi:10.4231/R7ST7N11

    Code for the basic 4-state competitive binding model that builds on previous work by incorporating an additional competitor for calmodulin along with a number of downstream proteins. Also include is sample code for global sensitivity analysis...

    https://purr.purdue.edu/publications/2926

  16. fMRI Data for Human Subjects During Musical Perception and Imagery

    2018-01-05 20:39:30 | Datasets | Contributor(s): Yizhen Zhang, Gang Chen, Haiguang Wen, Kun-Han Lu, Zhongming Liu | doi:10.4231/R7W957B3

    This fMRI dataset includes the original stimuli and the BOLD fMRI responses for a musical imagery study.

    https://purr.purdue.edu/publications/2879

  17. Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

    2017-11-17 19:16:53 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7V98675

    This document includes the main source code (Matlab or Python) related to our study.

    https://purr.purdue.edu/publications/2816

  18. Repeated Free-Viewing of a Natural Movie Stimulus Using fMRI

    2017-10-03 17:53:09 | Datasets | Contributor(s): Kun-Han Lu, Lauren Kelly Marussich, Haiguang Wen, Shao-Chin Hung, Zhongming Liu | doi:10.4231/R71V5C4T

    Video-fMRI dataset acquired by the Laboratory of Integrated Brain Imaging (LIBI, https://engineering.purdue.edu/libi) at Purdue University.

    https://purr.purdue.edu/publications/2830

  19. Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision

    2017-09-24 21:22:47 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7V98675

    This document includes the main source code (Matlab or Python) related to our study.

    https://purr.purdue.edu/publications/2816

  20. Data for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision Tests - Subject 2

    2017-09-18 19:45:42 | Datasets | Contributor(s): Haiguang Wen, Junxing Shi, Yizhen Zhang, Kun-Han Lu, Jiayue Cao, Zhongming Liu | doi:10.4231/R7NS0S1F

    This is a video-fMRI dataset for subject 2 (out of three) acquired by the Laboratory of Integrated Brain Imaging (LIBI).

    https://purr.purdue.edu/publications/2806

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