Subject
- Mechanical Engineering 4
- Bioinformatics 3
- Computer Science 2
- Interdisciplinary Research 2
- Life Sciences 2
Creator
- Zhongming Liu, 0000-0002-8773-4204 13
- Haiguang Wen 11
- Kun-Han Lu, 0000-0002-0355-8515 9
- Junxing Shi 8
- Yizhen Zhang 8
- Jiayue Cao 7
- Michael Markl 7
- Vitaliy Rayz 7
- Melissa Brindise 6
- Pavlos Vlachos, 0000-0002-8040-9257 6
Type
Date
subject: Biomedical Engineering
Total is 44 Results
T1-weighted brain atlas for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database
10.4231/4668-DM62
Ho-Ching Yang
,
Joseph V Rispoli
,
Thomas M Talavage
,
Wenbin Zhu
,
Yukai Zou
01/16/2019
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.
Adolescents Atlasing Biomedical Engineering Brain Informatics Morphometrics MRI Neuroscience Spatial Normalization Spatial Warping Statistical Methods Trauma Workflow
In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms
10.4231/M5F1-QC84
Benjamin Dickerhoff
,
David Saloner
,
Melissa Brindise
,
Michael Markl
,
Pavlos Vlachos
,
Sean Rothenberger
,
Susanne Schnell
,
Vitaliy Rayz
08/23/2019
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.
Biomedical Engineering Cerebral Aneurysm CFD Experimental Tests Fluid Mechanics Matlab MRI PIV Shake the Box
A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3
10.4231/MBPK-D277
Matthew C Pharris
,
Tamara L Kinzer-Ursem
03/11/2019
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.
Biomedical Engineering Calmodulin Computational Modeling Neuroscience Protein Signaling
Simplicity of K-means versus deepness of Deep Learning. A Case of Unsupervised Feature Learning with Limited Data
10.4231/R7N58J9Z
Baichuan Zhang , Bartlomiej P. Rajwa , Murat Dundar , Qiang Kou , Yicheng He
10/01/2015
A study contrasting K-means-based unsupervised feature learning and deep learning techniques for small data sets with limited intra- as well as inter-class diversity
bacterial colonies BARDOT Biomedical Engineering Computer Science deep learning Elastic light scattering Interdisciplinary Research K-Means Clustering Life Sciences Machine Learning representation learning
Population-specific brain atlases for early-to-middle adolescent collision-sport athletes
10.4231/RTXE-0Q70
Apekshya Chhetri
,
Ho-Ching Yang
,
Joseph V Rispoli
,
Pratik Kashyap
,
Thomas M Talavage
,
Wenbin Zhu
,
Yukai Zou
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
Animal Model Dependent Response to Pentagalloyl Glucose in Murine Abdominal Aortic Injury
10.4231/1FQ0-P419
Craig Goergen
,
Elizabeth Niedert
,
Ender Finol
,
Jennifer Anderson
,
Renxiang Tang
,
Riley Holloway
,
Sourav Patnaik
,
Vangelina Osteguin
01/12/2021
This dataset accompanies the Journal of Clinical Medicine article by the same name (https://doi.org/10.3390/jcm10020219) and includes all data discussed therein. Please contact Craig Goergen with any questions at cgoergen@purdue.edu.
abdominal aortic aneurysms Biomedical Engineering elastin pentagalloyl glucose ultrasound
Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
10.4231/R7V98675
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
09/25/2017
This document includes the main source code (Matlab or Python) related to our study.
Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code
Repeated Free-Viewing of a Natural Movie Stimulus Using fMRI
10.4231/R71V5C4T
Haiguang Wen
,
Kun-Han Lu
,
Lauren Kelly Marussich
,
Shao-Chin Hung
,
Zhongming Liu
10/06/2017
Video-fMRI dataset acquired by the Laboratory of Integrated Brain Imaging (LIBI, https://engineering.purdue.edu/libi) at Purdue University.
Biomedical Engineering fMRI Intra-Subject Reproducibility LIBI movie stimuli natural vision Neuroscience
Source code for Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision
10.4231/R7N58JJ3
Haiguang Wen
,
Jiayue Cao
,
Junxing Shi
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
11/17/2017
This document includes the main source code (Matlab or Python) related to our study.
Biomedical Engineering deep learning FMR1 LIBI Matlab natural vision neural decoding Neural encoding Neuroscience Python Code Source Code
fMRI Data for Human Subjects During Musical Perception and Imagery
10.4231/R7W957B3
Gang Chen
,
Haiguang Wen
,
Kun-Han Lu
,
Yizhen Zhang
,
Zhongming Liu
01/05/2018
This fMRI dataset includes the original stimuli and the BOLD fMRI responses for a musical imagery study.
Biomedical Engineering fMRI Inter-Session Functional Connectivity Intra-Subject Reproducibility Music Imagery Neuroscience
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