Arunachalam Narayanaswamy

15 papers A* 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models. CoRR Ishaan Malhi, Praneet Dutta, Ellie Talius, Sally Ma, Brendan Driscoll, Krista Holden, Garima Pruthi, Arunachalam Narayanaswamy
2022	J	`jnl`	Evolving symbolic density functionals. CoRR He Ma, Arunachalam Narayanaswamy, Patrick Riley, Li Li
2020	J	`jnl`	Batch equalization with a generative adversarial network. Bioinform. Wesley Wei Qian, Cassandra Xia, Subhashini Venugopalan, Arunachalam Narayanaswamy, Michelle Dimon, George W. Ashdown, Jake Baum, Jian Peng, D. Michael Ando
2020	—	`conf`	Scientific Discovery by Generating Counterfactuals Using Image Translation. MICCAI (1) 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
2020	J	`jnl`	Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR 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
2019	J	`jnl`	It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. CoRR Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel J. Yang, Anton Gerashcenko, Scott Lipnick, Nina Makhortova, James Hawrot, Christine Marques, João Pereira, Michael P. Brenner, Lee Rubin, Brian Wainger, Marc Berndl
2018	J	`jnl`	Assessing microscope image focus quality with deep learning. BMC Bioinform. 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
2018	J	`jnl`	Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. CoRR 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
2012	—	`conf`	Multi-temporal Globally-Optimal Dense 3-D Cell Segmentation and Tracking from Multi-photon Time-Lapse Movies of Live Tissue Microenvironments. STIA Arunachalam Narayanaswamy, Amine Merouane, Antonio Peixoto, Ena Ladi, Paul Herzmark, Ulrich H. von Andrian, Ellen Robey, Badrinath Roysam
2011	J	`jnl`	3-D Image Pre-processing Algorithms for Improved Automated Tracing of Neuronal Arbors. Neuroinformatics Arunachalam Narayanaswamy, Yu Wang, Badrinath Roysam
2011	J	`jnl`	A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake. Neuroinformatics Yu Wang, Arunachalam Narayanaswamy, Chia-Ling Tsai, Badrinath Roysam
2011	A*	`conf`	Novel 4-D Open-Curve Active Contour and curve completion approach for automated tree structure extraction. CVPR Yu Wang, Arunachalam Narayanaswamy, Badrinath Roysam
2011	J	`jnl`	The FARSIGHT Trace Editor: An Open Source Tool for 3-D Inspection and Efficient Pattern Analysis Aided Editing of Automated Neuronal Reconstructions. Neuroinformatics Jonathan Luisi, Arunachalam Narayanaswamy, Zachary Galbreath, Badrinath Roysam
2010	—	`conf`	5-D imaging and parallel automated analysis of cellular events in living immune tissue microenvironments. ISBI Arunachalam Narayanaswamy, Ena Ladi, Yousef Al-Kofahi, Ying Chen, Christopher D. Carothers, Ellen Robey, Badrinath Roysam
2010	J	`jnl`	Robust Adaptive 3-D Segmentation of Vessel Laminae From Fluorescence Confocal Microscope Images and Parallel GPU Implementation. IEEE Trans. Medical Imaging Arunachalam Narayanaswamy, Saritha Dwarakapuram, Christopher Björnsson, Barbara Cutler, William Shain, Badrinath Roysam