Biosignatures Discovery Automation, Biodesign Center for (BDA)

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Sensors Engineering & Materials Science
Imaging techniques Chemical Compounds
Oxygen Engineering & Materials Science
Cells Chemical Compounds
Microfluidics Engineering & Materials Science
Surface plasmon resonance Chemical Compounds
Polymers Chemical Compounds
Proteins Engineering & Materials Science

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Research Output 2007 2017

2 Citations

A platform for high-throughput bioenergy production phenotype characterization in single cells

Kelbauskas, L., Glenn, H., Anderson, C., Messner, J., Lee, K. B., Song, G., Houkal, J., Su, F., Zhang, L., Tian, Y., Wang, H., Bussey, K., Johnson, R. H. & Meldrum, D. R. Mar 28 2017 In : Scientific Reports. 7, 45399

Research output: Research - peer-reviewArticle

Phenotype
Single-Cell Analysis
Oxygen Consumption
Cell Survival
Electrons

Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks

Tajbakhsh, N., Shin, J. Y., Hurst, R. T., Kendall, C. B. & Liang, J. Jan 30 2017 Deep Learning for Medical Image Analysis. Elsevier Inc., p. 105-131 27 p.

Research output: ResearchChapter

Thickness measurement
Neural networks
Ultrasonography
Analysis of variance (ANOVA)

Automatic polyp detection in colonoscopy videos

Yuan, Z., Izadyyazdanabadi, M., Mokkapati, D., Panvalkar, R., Shin, J. Y., Tajbakhsh, N., Gurudu, S. & Liang, J. 2017 Medical Imaging 2017: Image Processing. SPIE, Vol. 10133, 101332K

Research output: ResearchConference contribution

cancer
Colonoscopy
Polyps
Neural networks
Edge detection