Subject
- Mechanical Engineering 4
- Bioinformatics 3
- Computer Science 2
- Interdisciplinary Research 2
- Life Sciences 2
Creator
- Zhongming Liu, 0000-0002-8773-4204 12
- Haiguang Wen 10
- Kun-Han Lu, 0000-0002-0355-8515 8
- Junxing Shi 7
- Yizhen Zhang 7
- Jiayue Cao 6
- Michael Markl 6
- Vitaliy Rayz 6
- Ho-Ching Yang, 0000-0003-2670-1772 5
- Joseph V Rispoli, 0000-0003-4514-3390 5
Type
- Dataset 41
Date
subject: Biomedical Engineering type: dataset
Total is 41 Results
Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal
10.4231/R7WQ01R7
Haiguang Wen, Zhongming Liu, 0000-0002-8773-4204
09/30/2015
Matlab toolbox for separating the fractal (scale-free) component and oscillatory component in the power spectrum from the mixed time series
A Non-parametric Bayesian Model for Joint Cell Clustering and Cluster Matching: Identification of Anomalous Sample Phenotypes with Random Effects.
10.4231/R7KK98PG
Bartlomiej P. Rajwa, Ferit Akova, Halid Ziya Yerebakan, Murat Dundar
09/03/2014
The manuscript presents a non-parametric Bayesian algorithm called ASPIRE (Anomalous Sample Phenotype Identification with Random Effects) able to identify phenotypic differences across batches of cytometry samples in the presence of random effects
AML Bayesian Biomedical Engineering BMC Bioinformatics Computer Science cytometry Dirichlet process Gaussian mixture model Interdisciplinary Research Life Sciences random effects
Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG
10.4231/R7DB7ZSC
Rodrigo Castellanos, Zhongming Liu, 0000-0002-8773-4204
06/07/2016
This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.
Bioinformatics Biomedical Engineering Electrical and Computer Engineering fMRI-EEG independent component analysis Signal Processing Singular value decomposition
Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG
10.4231/R7QF8QT4
Rodrigo Castellanos, Zhongming Liu, 0000-0002-8773-4204
07/27/2015
This Matlab toolbox includes signal processing functions to remove gradient and pulse artifacts in EEG data recorded simultaneously with fMRI. It is distributed as a GUI plugin for EEGLAB.
Bioinformatics Biomedical Engineering Electrical and Computer Engineering fMRI-EEG independent component analysis Signal Processing Singular value decomposition
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
A multi-modality approach for enhancing 4D flow MRI via sparse representation
10.4231/FB9P-5991
Jiacheng Zhang, Melissa Brindise, Michael Markl, Pavlos Vlachos, Sean Rothenberger, 0000-0003-1341-6147, Vitaliy Rayz
09/22/2021
Data and source code to enhance the blood flow measurements and the hemodynamic analysis with 4D flow MRI in cerebral aneurysms using multi-modality data and sparse representation.
Biomedical Engineering Cerebral Aneurysm CFD Fluid Mechanics MRI PIV
A Multi-state Model of the CaMKII Holoenzyme using MCell 3.3
10.4231/MV0Z-8Z57
Matthew C Pharris, Tamara L Kinzer-Ursem, 0000-0001-7343-115X
07/29/2019
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 Calcium Calmodulin Computational Modeling Kinase Neuroscience Protein Signaling Rule-Based Modeling Synaptic Plasticity
Population-specific brain templates for adolescent collision-sport athletes in Purdue Neurotrauma Group longitudinal database
10.4231/XTZT-P683
Ho-Ching Yang, 0000-0003-2670-1772, Joseph V Rispoli, 0000-0003-4514-3390, Thomas M Talavage, 0000-0003-4977-6398, Wenbin Zhu, Yukai Zou, 0000-0002-9924-5926
09/12/2019
Unbiased population-specific brain templates for local adolescent collision-sport athletes in the longitudinal database of Purdue Neurotrauma Group, including 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
In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - MRI
10.4231/C6DE-N845
Benjamin Dickerhoff, David Saloner, Melissa Brindise, Michael Markl, Pavlos Vlachos, 0000-0002-8040-9257, Sean Rothenberger, 0000-0003-1341-6147, Susanne Schnell, Vitaliy Rayz
11/01/2019
In vivo MRI dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
Biomedical Engineering Cerebral Aneurysm CFD Experimental Tests Fluid Mechanics Matlab MRI PIV Shake the Box
In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - CFD
10.4231/5RW6-4Z50
Benjamin Dickerhoff, David Saloner, Melissa Brindise, Michael Markl, Pavlos Vlachos, 0000-0002-8040-9257, Sean Rothenberger, 0000-0003-1341-6147, Susanne Schnell, Vitaliy Rayz
11/01/2019
In silico CFD dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
Biomedical Engineering Cerebral Aneurysm CFD Experimental Tests Fluid Mechanics Matlab MRI PIV Shake the Box
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