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
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
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
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
Population-specific brain atlases for early-to-middle adolescent collision-sport athletes
10.4231/6BAR-6W02
Apekshya Chhetri, Ho-Ching Yang, 0000-0003-2670-1772, Joseph V Rispoli, 0000-0003-4514-3390, Pratik Kashyap, Thomas M Talavage, 0000-0003-4977-6398, Wenbin Zhu, Yukai Zou, 0000-0002-9924-5926
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
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
Weathered Agent-Based Model of Microglia-Plaque Interactions
10.4231/2YEY-TD12
Catherine Weathered, 0000-0002-4406-3957, Elsje Pienaar
03/15/2023
Model code from "Microglia Roles in Alzheimer’s Disease: An Agent-Based Model to Elucidate Microglial Spatiotemporal Response to Beta-Amyloid"
agent based model Alzheimer's Disease Biomedical Engineering microglia model
Automatic 4D flow MRI Segmentation Using the Standardized Difference of Means Velocity
10.4231/F75X-1N34
Bruce Craig, 0000-0001-9346-467X, Jiacheng Zhang, 0000-0002-9027-6531, Michael Markl, Neal Patel, Pavlos Vlachos, 0000-0002-8040-9257, Sameer Ansari, Sean Michael Rothenberger, 0000-0003-1341-6147, Susanne Schnell, Vitaliy Rayz
02/02/2023
We provide 4D flow MRI velocity measurements in two in vitro flow phantoms of a cerebral aneurysm. One phantom is unscaled (1-to-1), and the other is scaled by a factor of two in all dimensions (2-to-1).
angiography Biomedical Engineering hemodynamics Magnetic Resonance Velocimetry Matlab Phase Contrast Magnetic Resonance Imaging
mHealth hyperspectral learning for hemodynamics
10.4231/VAFP-DW68
Young L Kim, 0000-0003-3796-9643
03/27/2023
A small sampling of hyperspectral data enables spectrally informed learning to recover a hypercube from a red-green-blue (RGB) image without complete hyperspectral measurements. Hyperspectral learning is capable of recovering full spectroscopic resolution
Biomedical Engineering hemodynamics Matlab mHealth spectral learning
Display #
Results 1 - 10 of 44