Arunachalam Narayanaswamy

According to our database, Arunachalam Narayanaswamy authored at least 13 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Evolving symbolic density functionals.

He Ma, Arunachalam Narayanaswamy, Patrick Riley, Li Li

CoRR, 2022

2020

Scientific Discovery by Generating Counterfactuals using Image Translation.

Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael P. Brenner, Philip Q. Nelson, Avinash V. Varadarajan

CoRR, 2020

Scientific Discovery by Generating Counterfactuals Using Image Translation.

Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Gregory S. Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael P. Brenner, Philip C. Nelson, Avinash V. Varadarajan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets.

Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, Joao Pereira, Michael P. Brenner, Lee Rubin, Brian Wainger, Marc Berndl

CoRR, 2019

2018

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.

Avinash V. Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A. Keane, Gregory S. Corrado, Lily Peng, Dale R. Webster

CoRR, 2018

Assessing microscope image focus quality with deep learning.

Samuel J. Yang, Marc Berndl, D. Michael Ando, Mariya Barch, Arunachalam Narayanaswamy, Eric Christiansen, Stephan Hoyer, Chris Roat, Jane Hung, Curtis T. Rueden, Asim Shankar, Steven Finkbeiner, Philip Nelson

BMC Bioinform., 2018

2012

Multi-temporal Globally-Optimal Dense 3-D Cell Segmentation and Tracking from Multi-photon Time-Lapse Movies of Live Tissue Microenvironments.

Arunachalam Narayanaswamy, Amine Merouane, Antonio Peixoto, Ena Ladi, Paul Herzmark, Ulrich Von Andrian, Ellen Robey, Badrinath Roysam

Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012

2011

A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake.

Yu Wang, Arunachalam Narayanaswamy, Chia-Ling Tsai, Badrinath Roysam

Neuroinformatics, 2011

3-D Image Pre-processing Algorithms for Improved Automated Tracing of Neuronal Arbors.

Arunachalam Narayanaswamy, Yu Wang, Badrinath Roysam

Neuroinformatics, 2011

The FARSIGHT Trace Editor: An Open Source Tool for 3-D Inspection and Efficient Pattern Analysis Aided Editing of Automated Neuronal Reconstructions.

Jonathan Luisi, Arunachalam Narayanaswamy, Zachary Galbreath, Badrinath Roysam

Neuroinformatics, 2011

Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction.

Yu Wang, Arunachalam Narayanaswamy, Badrinath Roysam

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation.

Arunachalam Narayanaswamy, Saritha Dwarakapuram, Christopher Björnsson, Barbara Cutler, William Shain, Badrinath Roysam

IEEE Trans. Medical Imaging, 2010

5-D imaging and parallel automated analysis of cellular events in living immune tissue microenvironments.

Arunachalam Narayanaswamy, Ena Ladi, Yousef Al-Kofahi, Ying Chen, Christopher D. Carothers, Ellen Robey, Badrinath Roysam

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010