Arunachalam Narayanaswamy
Arunachalam Narayanaswamy
Software Engineer, Google Inc.
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Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
V Gulshan, L Peng, M Coram, MC Stumpe, D Wu, A Narayanaswamy, ...
jama 316 (22), 2402-2410, 2016
Using a deep learning algorithm and integrated gradients explanation to assist grading for diabetic retinopathy
R Sayres, A Taly, E Rahimy, K Blumer, D Coz, N Hammel, J Krause, ...
Ophthalmology 126 (4), 552-564, 2019
A broadly applicable 3-D neuron tracing method based on open-curve snake
Y Wang, A Narayanaswamy, CL Tsai, B Roysam
Neuroinformatics 9, 193-217, 2011
Assessing microscope image focus quality with deep learning
SJ Yang, M Berndl, D Michael Ando, M Barch, A Narayanaswamy, ...
BMC bioinformatics 19, 1-9, 2018
Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissue
CS Bjornsson, G Lin, Y Al-Kofahi, A Narayanaswamy, KL Smith, W Shain, ...
Journal of neuroscience methods 170 (1), 165-178, 2008
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
AV Varadarajan, P Bavishi, P Ruamviboonsuk, P Chotcomwongse, ...
Nature communications 11 (1), 130, 2020
The FARSIGHT trace editor: an open source tool for 3-D inspection and efficient pattern analysis aided editing of automated neuronal reconstructions
J Luisi, A Narayanaswamy, Z Galbreath, B Roysam
Neuroinformatics 9, 305-315, 2011
Novel 4-D open-curve active contour and curve completion approach for automated tree structure extraction
Y Wang, A Narayanaswamy, B Roysam
CVPR 2011, 1105-1112, 2011
3-D image pre-processing algorithms for improved automated tracing of neuronal arbors
A Narayanaswamy, Y Wang, B Roysam
Neuroinformatics 9, 219-231, 2011
Robust adaptive 3-D segmentation of vessel laminae from fluorescence confocal microscope images and parallel GPU implementation
A Narayanaswamy, S Dwarakapuram, CS Bjornsson, BM Cutler, W Shain, ...
IEEE transactions on medical imaging 29 (3), 583-597, 2009
Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts
L Schiff, B Migliori, Y Chen, D Carter, C Bonilla, J Hall, M Fan, E Tam, ...
Nature communications 13 (1), 1590, 2022
Self-aligned Schwann cell monolayers demonstrate an inherent ability to direct neurite outgrowth
AM Seggio, A Narayanaswamy, B Roysam, DM Thompson
Journal of neural engineering 7 (4), 046001, 2010
Evolving symbolic density functionals
H Ma, A Narayanaswamy, P Riley, L Li
Science Advances 8 (36), eabq0279, 2022
Scientific discovery by generating counterfactuals using image translation
A Narayanaswamy, S Venugopalan, DR Webster, L Peng, GS Corrado, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Applying deep neural network analysis to high-content image-based assays
SJ Yang, SL Lipnick, NR Makhortova, S Venugopalan, M Fan, ...
SLAS DISCOVERY: Advancing Life Sciences R&D 24 (8), 829-841, 2019
Batch equalization with a generative adversarial network
WW Qian, C Xia, S Venugopalan, A Narayanaswamy, M Dimon, ...
Bioinformatics 36 (Supplement_2), i875-i883, 2020
Image location through large object detection
CL Robinson, A Narayanaswamy, M Zennaro
US Patent 10,037,469, 2018
The FARSIGHT project: associative 4D/5D image analysis methods for quantifying complex and dynamic biological microenvironments
B Roysam, W Shain, E Robey, Y Chen, A Narayanaswamy, CL Tsai, ...
Microscopy and Microanalysis 14 (S2), 60-61, 2008
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets
S Venugopalan, A Narayanaswamy, S Yang, A Geraschenko, S Lipnick, ...
arXiv preprint arXiv:1912.07661, 2019
Multi-temporal globally-optimal dense 3-D cell segmentation and tracking from multi-photon time-lapse movies of live tissue microenvironments
A Narayanaswamy, A Merouane, A Peixoto, E Ladi, P Herzmark, ...
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data …, 2012
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