Arunachalam Narayanaswamy, Ph.D.

Affiliations: 
2011 Rensselaer Polytechnic Institute, Troy, NY, United States 
Area:
Electronics and Electrical Engineering, Computer Science, Bioinformatics Biology, Cell Biology
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"Arunachalam Narayanaswamy"

Parents

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Badrinath Roysam grad student 2011 RPI
 (A Multi-temporal Method for Globally-Optimal Cell Tracking in the Immune System Microenvironment.)
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Publications

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Qian WW, Xia C, Venugopalan S, et al. (2020) Batch equalization with a generative adversarial network. Bioinformatics (Oxford, England). 36: i875-i883
Varadarajan AV, Bavishi P, Ruamviboonsuk P, et al. (2020) Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. Nature Communications. 11: 130
Yang SJ, Berndl M, Michael Ando D, et al. (2018) Assessing microscope image focus quality with deep learning. Bmc Bioinformatics. 19: 77
Gulshan V, Peng L, Coram M, et al. (2016) Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. Jama
Narayanaswamy A, Merouane A, Peixoto A, et al. (2012) Multi-temporal globally-optimal dense 3-D cell segmentation and tracking from multi-photon time-lapse movies of live tissue microenvironments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7570: 147-162
Narayanaswamy A, Wang Y, Roysam B. (2011) 3-D image pre-processing algorithms for improved automated tracing of neuronal arbors. Neuroinformatics. 9: 219-31
Luisi J, Narayanaswamy A, Galbreath Z, et al. (2011) The FARSIGHT trace editor: an open source tool for 3-D inspection and efficient pattern analysis aided editing of automated neuronal reconstructions. Neuroinformatics. 9: 305-15
Wang Y, Narayanaswamy A, Tsai CL, et al. (2011) A broadly applicable 3-D neuron tracing method based on open-curve snake. Neuroinformatics. 9: 193-217
Wang Y, Narayanaswamy A, Roysam B. (2011) Novel 4-d open-curve active contour and curve completion approach for automated tree structure extraction Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1105-1112
Seggio AM, Narayanaswamy A, Roysam B, et al. (2010) Self-aligned Schwann cell monolayers demonstrate an inherent ability to direct neurite outgrowth. Journal of Neural Engineering. 7: 046001
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