Applications of machine learning for simulations of red blood cells in microfluidic devices
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Applications of machine learning for simulations of red blood cells in microfluidic devices
Authors
Keywords
-
Journal
BMC BIOINFORMATICS
Volume 21, Issue S2, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-03-13
DOI
10.1186/s12859-020-3357-5
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Cell Damage Index as Computational Indicator for Blood Cell Activation and Damage
- (2018) Markus Gusenbauer et al. ARTIFICIAL ORGANS
- Circulating Tumor Cell Phenotyping via High-Throughput Acoustic Separation
- (2018) Mengxi Wu et al. Small
- Effect of spectrin network elasticity on the shapes of erythrocyte doublets
- (2018) Masoud Hoore et al. Soft Matter
- Numerical–experimental observation of shape bistability of red blood cells flowing in a microchannel
- (2018) Achim Guckenberger et al. Soft Matter
- Classification of red blood cell shapes in flow using outlier tolerant machine learning
- (2018) Alexander Kihm et al. PLoS Computational Biology
- Biophysical isolation and identification of circulating tumor cells
- (2017) James Che et al. LAB ON A CHIP
- Margination and stretching of von Willebrand factor in the blood stream enable adhesion
- (2017) Kathrin Rack et al. Scientific Reports
- Healthy and unhealthy red blood cell detection in human blood smears using neural networks
- (2016) Hany A. Elsalamony MICRON
- Simulation study of rare cell trajectories and capture rate in periodic obstacle arrays
- (2016) Martin Bušík et al. Journal of Computational Science
- An On-Chip RBC Deformability Checker Significantly Improves Velocity-Deformation Correlation
- (2016) Chia-Hung Tsai et al. Micromachines
- An ESPResSo implementation of elastic objects immersed in a fluid
- (2013) I. Cimrák et al. COMPUTER PHYSICS COMMUNICATIONS
- Analysis of Red Blood Cell Deformation under Fast Shear Flow for Better Estimation of Hemolysis
- (2013) Masanori Nakamura et al. International Journal for Numerical Methods in Biomedical Engineering
- How Malaria Parasites Reduce the Deformability of Infected Red Blood Cells
- (2012) S. Majid Hosseini et al. BIOPHYSICAL JOURNAL
- Adaptive Computation Algorithm for RBF Neural Network
- (2011) Hong-Gui Han et al. IEEE Transactions on Neural Networks and Learning Systems
- Efficient and accurate simulations of deformable particles immersed in a fluid using a combined immersed boundary lattice Boltzmann finite element method
- (2010) T. Krüger et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities
- (2009) Christophe Geuzaine et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- Red blood cell deformation in microconfined flow
- (2009) Giovanna Tomaiuolo et al. Soft Matter
- Deformability study of breast cancer cells using microfluidics
- (2008) H. W. Hou et al. BIOMEDICAL MICRODEVICES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now