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ORCIDArunachalam Narayanaswamy
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2020 – today
- 2022
[i4]He Ma, Arunachalam Narayanaswamy, Patrick Riley, Li Li:
Evolving symbolic density functionals. CoRR abs/2203.02540 (2022)- 2020
- [c4]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:
Scientific Discovery by Generating Counterfactuals Using Image Translation. MICCAI (1) 2020: 273-283 - [i3]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:
Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR abs/2007.05500 (2020)
2010 – 2019
- 2019
- [i2]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:
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. CoRR abs/1912.07661 (2019) - 2018
- [j5]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:
Assessing microscope image focus quality with deep learning. BMC Bioinform. 19(1): 77:1-77:9 (2018) - [i1]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:
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. CoRR abs/1810.10342 (2018) - 2012
- [c3]Arunachalam Narayanaswamy, Amine Merouane, Antonio Peixoto, Ena Ladi, Paul Herzmark, Ulrich Von Andrian, Ellen Robey, Badrinath Roysam:
Multi-temporal Globally-Optimal Dense 3-D Cell Segmentation and Tracking from Multi-photon Time-Lapse Movies of Live Tissue Microenvironments. STIA 2012: 147-162 - 2011
- [j4]Yu Wang, Arunachalam Narayanaswamy, Chia-Ling Tsai, Badrinath Roysam:
A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake. Neuroinformatics 9(2-3): 193-217 (2011) - [j3]Arunachalam Narayanaswamy, Yu Wang, Badrinath Roysam:
3-D Image Pre-processing Algorithms for Improved Automated Tracing of Neuronal Arbors. Neuroinformatics 9(2-3): 219-231 (2011) - [j2]Jonathan Luisi, Arunachalam Narayanaswamy, Zachary Galbreath, Badrinath Roysam:
The FARSIGHT Trace Editor: An Open Source Tool for 3-D Inspection and Efficient Pattern Analysis Aided Editing of Automated Neuronal Reconstructions. Neuroinformatics 9(2-3): 305-315 (2011) - [c2]Yu Wang, Arunachalam Narayanaswamy, Badrinath Roysam:
Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction. CVPR 2011: 1105-1112 - 2010
- [j1]Arunachalam Narayanaswamy, Saritha Dwarakapuram, Christopher Björnsson, Barbara Cutler, William Shain, Badrinath Roysam:
Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation. IEEE Trans. Medical Imaging 29(3): 583-597 (2010) - [c1]Arunachalam Narayanaswamy, Ena Ladi, Yousef Al-Kofahi, Ying Chen, Christopher D. Carothers, Ellen Robey, Badrinath Roysam:
5-D imaging and parallel automated analysis of cellular events in living immune tissue microenvironments. ISBI 2010: 1435-1438
Coauthor Index
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