Arunachalam Narayanaswamy

发表

A multi-temporal method for globally-optimal cell tracking in the immune system microenvironment

Badrinath Roysam, Qiang Ji, Arunachalam Narayanaswamy, 2011 .

Scientific Discovery by Generating Counterfactuals using Image Translation pdf

Subhashini Venugopalan, Arunachalam Narayanaswamy, Michael Brenner, 2020, MICCAI.

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

Badrinath Roysam, Yu Wang, Arunachalam Narayanaswamy, 2011, Neuroinformatics.

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

Christopher D. Carothers, Yousef Al-Kofahi, Badrinath Roysam, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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

Badrinath Roysam, Arunachalam Narayanaswamy, Jonathan Luisi, 2011, Neuroinformatics.

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

Barbara Cutler, Badrinath Roysam, William Shain, 2010, IEEE Transactions on Medical Imaging.

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

Badrinath Roysam, Yu Wang, Arunachalam Narayanaswamy, 2011, CVPR 2011.

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

Chia-Ling Tsai, Badrinath Roysam, Yu Wang, 2011, Neuroinformatics.

Batch Equalization with a Generative Adversarial Network

Subhashini Venugopalan, Arunachalam Narayanaswamy, Jian Peng, 2020, bioRxiv.

Deep learning and automated Cell Painting reveal Parkinson’s disease-specific signatures in primary patient fibroblasts

Arunachalam Narayanaswamy, Samuel J. Yang, Marc Berndl, 2020 .

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

Badrinath Roysam, Arunachalam Narayanaswamy, Amine Merouane, 2012, STIA.

Associative image analysis: A method for automated quantification of 3D multi-parameter images of brain tissue

Yousef Al-Kofahi, Badrinath Roysam, Arunachalam Narayanaswamy, 2008, Journal of Neuroscience Methods.

Integrated 5-D Cell Tracking and Linked Analytics in the FARSIGHT Open Source Toolkit

Badrinath Roysam, Arunachalam Narayanaswamy, Amine Merouane, 2015 .

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

Subhashini Venugopalan, Arunachalam Narayanaswamy, Michael Brenner, 2019, ArXiv.

Assessing microscope image focus quality with deep learning

Stephan Hoyer, Arunachalam Narayanaswamy, Asim Shankar, 2018, BMC Bioinformatics.

The FARSIGHT Project: Associative 4D/5D Image Analysis Methods for Quantifying Complex and Dynamic Biological Microenvironments

Ying Chen, Chia-Ling Tsai, Badrinath Roysam, 2008, Microscopy and Microanalysis.

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

Subhashini Venugopalan, Arunachalam Narayanaswamy, Pearse A. Keane, 2018, Nature Communications.

Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation

Ankur Taly, Jonathan Krause, Arunachalam Narayanaswamy, 2018 .

Scientific Discovery by Generating Counterfactuals using Image Translation pdf

Subhashini Venugopalan, Arunachalam Narayanaswamy, Greg Corrado, 2020, MICCAI.