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
Signal Processing Toolbox for Simultaneously Acquired fMRI and EEG
10.4231/R7DB7ZSC
Rodrigo Castellanos
,
Zhongming Liu
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
Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal
10.4231/R7WQ01R7
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/R7QF8QT4
Rodrigo Castellanos
,
Zhongming Liu
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
Changes in Lipid Profile and SOX-2 Expression in RM-1 Cells after Co-Culture with Preimplantation Embryos or with Deproteinated Blastocyst Extracts
10.4231/RVM1-G302
Bennett D. Elzey
,
Bruce R. Cooper
,
Christina R. Ferreira
,
Gregory M. Cresswell
,
Judy E. Hallett
,
Nicolas Gutierrez
,
Wen-Hung Wang
03/08/2022
The embryonic environment can modify cancer cell metabolism, and it is reported to induce the loss of tumorigenic properties and even affect the differentiation of cancer cells into normal tissues. The cellular mechanisms related to this...
Biomedical Engineering cancer cell metabolism embryonic environment lipid profiling RM-1 cells SOX-2 gene expression
Error-State Kalman Filter for Online Evaluation of Ankle Angle
10.4231/X00Q-YW81
Ahmed Khaled Soliman
,
Andres Torres
,
Guilherme A. Ribeiro
,
Mo Rastgaar
05/04/2022
Raw Data for an Error-State Kalman Filter (ESKF) for Online Evaluation of Ankle Ankle (in 2-DOF), using a 2-IMU setup.
Acceleration Biomedical Engineering Engineering Technology Matlab software Mechanical Engineering Robotics
Gait phase estimation using wearable sensors and PCA based linear regression model
10.4231/Q0HY-AT09
Ahmed Khaled Soliman
,
Andres Torres
,
Chang Heon Lee
,
Guilherme A. Ribeiro
,
Li-fan Wu
,
Mo Rastgaar
05/16/2022
Estimating gait realtime through 2 wearable sensors and a PCA based linear regression model.
Acceleration Biomedical Engineering Machine Learning Mechanical Engineering PCA Robotics Stepwise Multiple linear Regression Wearable Device
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
,
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
mHealth hyperspectral learning for hemodynamics
10.4231/VAFP-DW68
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
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