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Arunachalam Narayanaswamy

Showing results (1-10 of 13) with videos related to

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Neuroinformatics|May 4, 2011
3-D image pre-processing algorithms for improved automated tracing of neuronal arborsArunachalam Narayanaswamy, Yu Wang, Badrinath Roysam
Science Advances|September 9, 2022
Evolving symbolic density functionalsHe Ma, Arunachalam Narayanaswamy, Patrick Riley, et al.
Neuroinformatics|April 14, 2011
The FARSIGHT trace editor: an open source tool for 3-D inspection and efficient pattern analysis aided editing of automated neuronal reconstructionsJonathan Luisi, Arunachalam Narayanaswamy, Zachary Galbreath, et al.
Neuroinformatics|March 15, 2011
A broadly applicable 3-D neuron tracing method based on open-curve snakeYu Wang, Arunachalam Narayanaswamy, Chia-Ling Tsai, et al.
IEEE Transactions on Medical Imaging|March 5, 2010
Robust adaptive 3-D segmentation of vessel laminae from fluorescence confocal microscope images and parallel GPU implementationArunachalam Narayanaswamy, Saritha Dwarakapuram, Christopher S Bjornsson, et al.
Journal of Neuroscience Methods|February 26, 2008
Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissueChristopher S Bjornsson, Gang Lin, Yousef Al-Kofahi, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Batch equalization with a generative adversarial networkWesley Wei Qian, Cassandra Xia, Subhashini Venugopalan, et al.
BMC Bioinformatics|March 16, 2018
Assessing microscope image focus quality with deep learningSamuel J Yang, Marc Berndl, D Michael Ando, et al.
JAMA|November 30, 2016
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsVarun Gulshan, Lily Peng, Marc Coram, et al.
Ophthalmology|December 17, 2018
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic RetinopathyRory Sayres, Ankur Taly, Ehsan Rahimy, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Neuroinformatics|May 4, 2011
3-D image pre-processing algorithms for improved automated tracing of neuronal arborsArunachalam Narayanaswamy, Yu Wang, Badrinath Roysam
Science Advances|September 9, 2022
Evolving symbolic density functionalsHe Ma, Arunachalam Narayanaswamy, Patrick Riley, et al.
Neuroinformatics|April 14, 2011
The FARSIGHT trace editor: an open source tool for 3-D inspection and efficient pattern analysis aided editing of automated neuronal reconstructionsJonathan Luisi, Arunachalam Narayanaswamy, Zachary Galbreath, et al.
Neuroinformatics|March 15, 2011
A broadly applicable 3-D neuron tracing method based on open-curve snakeYu Wang, Arunachalam Narayanaswamy, Chia-Ling Tsai, et al.
IEEE Transactions on Medical Imaging|March 5, 2010
Robust adaptive 3-D segmentation of vessel laminae from fluorescence confocal microscope images and parallel GPU implementationArunachalam Narayanaswamy, Saritha Dwarakapuram, Christopher S Bjornsson, et al.
Journal of Neuroscience Methods|February 26, 2008
Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissueChristopher S Bjornsson, Gang Lin, Yousef Al-Kofahi, et al.
Bioinformatics (Oxford, England)|December 31, 2020
Batch equalization with a generative adversarial networkWesley Wei Qian, Cassandra Xia, Subhashini Venugopalan, et al.
BMC Bioinformatics|March 16, 2018
Assessing microscope image focus quality with deep learningSamuel J Yang, Marc Berndl, D Michael Ando, et al.
JAMA|November 30, 2016
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus PhotographsVarun Gulshan, Lily Peng, Marc Coram, et al.
Ophthalmology|December 17, 2018
Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic RetinopathyRory Sayres, Ankur Taly, Ehsan Rahimy, et al.
Pageof 2