Badrinath Roysam

发表

Quantitative biological studies enabled by robust cell tracking

Jens Rittscher, Dirk R. Padfield, Badrinath Roysam, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Coupled Minimum-Cost Flow Cell Tracking

Jens Rittscher, Dirk R. Padfield, Badrinath Roysam, 2009, IPMI.

Associative Multiple-Label Image Analysis Method for Synapse Identification in Neuronal Cultures: Application to Comparative Analysis of Synapse Formation Efficiency & Distribution on Smooth and Topographically Modified Surfaces

Badrinath Roysam, James N. Turner, Harihar Narasimha-Iyer, 2005 .

Automated in vivo change analysis of tumor vasculature from two-photon confocal image time series

Badrinath Roysam, Khalid Al-Kofahi, Edward B. Brown, 2003, SPIE BiOS.

Computer Vision Algorithms for Quantifying the Growth and Behavior of Neurons Cultured on Nanofabricated Surfaces

Khalid A. Al-Kofahi, Badrinath Roysam, James N. Turner, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

Efficient migration of complex off-line computer vision software to real-time system implementation on generic computer hardware

Christopher D. Carothers, Charles V. Stewart, Badrinath Roysam, 2004, IEEE Transactions on Information Technology in Biomedicine.

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

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

Automatic Summarization of Changes in Biological Image Sequences Using Algorithmic Information Theory

Sally Temple, Badrinath Roysam, Andrew R. Cohen, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust 3-D modeling of tumor microvasculature using superellipsoids

Badrinath Roysam, Edward B. Brown, Ricky Tong, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

NetMets: software for quantifying and visualizing errors in biological network segmentation

David Mayerich, Badrinath Roysam, Christopher Björnsson, 2012, BMC Bioinformatics.

Automated profiling of individual cell-cell interactions from high-throughput time-lapse imaging microscopy in nanowell grids (TIMING)

Harjeet Singh, Badrinath Roysam, Yanbin Lu, 2015, Bioinform..

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.

Simultaneous image and point spread function reconstruction for 3D light microscopy

Badrinath Roysam, James N. Turner, Donald H. Szarowski, 1994, Optics & Photonics.

Spatio-temporal cell segmentation and tracking for automated screening

Jens Rittscher, Dirk R. Padfield, Badrinath Roysam, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms

Hong Shen, Badrinath Roysam, James N. Turner, 1999, IEEE Transactions on Information Technology in Biomedicine.

A multi‐model approach to simultaneous segmentation and classification of heterogeneous populations of cell nuclei in 3D confocal microscope images

Badrinath Roysam, William Shain, Gang Lin, 2007, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Improved Detection of the Central Reflex in Retinal Vessels Using a Generalized Dual-Gaussian Model and Robust Hypothesis Testing

Badrinath Roysam, Harihar Narasimha-Iyer, Vijay Mahadevan, 2008, IEEE Transactions on Information Technology in Biomedicine.

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.

AUTOMATED 3-D QUANTIFICATION OF BRAIN TISSUE AT THE CELLULAR SCALE FROM MULTI-PARAMETER CONFOCAL MICROSCOPY IMAGES

Yousef Al-Kofahi, Badrinath Roysam, William Shain, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Algorithms for 3-D brightfield microscopy

Badrinath Roysam, James N. Turner, Timothy J. Holmes, 1992, Electronic 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.

MDL Constrained 3-D Grayscale Skeletonization Algorithm for Automated Extraction of Dendrites and Spines from Fluorescence Confocal Images

Steve M. Potter, Badrinath Roysam, Xiaosong Yuan, 2009, Neuroinformatics.

Hierarchical, model‐based merging of multiple fragments for improved three‐dimensional segmentation of nuclei

Badrinath Roysam, Gang Lin, Monica K Chawla, 2005, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Automated image computing reshapes computational neuroscience

Hanchuan Peng, Giorgio A. Ascoli, Badrinath Roysam, 2013, BMC Bioinformatics.

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

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

Algorithms for improved 3-D reconstruction of live mammalian embryo vasculature from optical coherence tomography data.

Badrinath Roysam, Narendran Sudheendran, Kirill V Larin, 2015, Quantitative imaging in medicine and surgery.

Artificial intelligence and machine learning in nephropathology.

David Mayerich, Badrinath Roysam, Peter Boor, 2020, Kidney international.

Quantitative profiling of microglia populations using harmonic co-clustering of arbor morphology measurements

Ronald R. Coifman, Lawrence Carin, Badrinath Roysam, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Automatic Identification of Retinal Arteries and Veins From Dual-Wavelength Images Using Structural and Functional Features

Bahram Khoobehi, Badrinath Roysam, Harihar Narasimha-Iyer, 2007, IEEE Transactions on Biomedical Engineering.

Covariance-driven retinal image registration initialized from small sets of landmark correspondences

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Model-based method for improving the accuracy and repeatability of estimating vascular bifurcations and crossovers from retinal fundus images

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2004, IEEE Transactions on Information Technology in Biomedicine.

A unified approach for hierarchical imaging based on joint hypothesis testing and parameter estimation

Michael I. Miller, Badrinath Roysam, M. Miller, 1989, International Conference on Acoustics, Speech, and Signal Processing,.

Automatic selection of parameters for vessel/neurite segmentation algorithms

Murat Yuksel, Badrinath Roysam, Muhammad-Amri Abdul-Karim, 2005, IEEE Transactions on Image Processing.

Complexity analysis of angiogenesis vasculature

Badrinath Roysam, Edward B. Brown, Vijay Mahadevan, 2005, SPIE Medical Imaging.

Blind deconvolution of 2-D and 3-D fluorescent micrographs

Yi-Hwa Liu, Badrinath Roysam, James N. Turner, 1992, Electronic Imaging.

Disease-Oriented Evaluation of Dual-Bootstrap Retinal Image Registration

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2003, MICCAI.

Automatic and Reliable Extraction of Dendrite Backbone from Optical Microscopy Images

Liang Xiao, Badrinath Roysam, Zachary Galbreath, 2010, LSMS/ICSEE.

A Vector SIFT Detector for Interest Point Detection in Hyperspectral Imagery

Miguel Velez-Reyes, Badrinath Roysam, Leidy P. Dorado-Muñoz, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Median-based robust algorithms for tracing neurons from noisy confocal microscope images

Khalid A. Al-Kofahi, Badrinath Roysam, James N. Turner, 2003, IEEE Transactions on Information Technology in Biomedicine.

Quantitative Arbor Analytics: Unsupervised Harmonic Co-Clustering of Populations of Brain Cell Arbors Based on L-Measure

Ronald R. Coifman, Lawrence Carin, Badrinath Roysam, 2014, Neuroinformatics.

Predictive scheduling algorithms for real-time feature extraction and spatial referencing: application to retinal image sequences

Charles V. Stewart, Badrinath Roysam, Kenneth Fritzsche, 2004, IEEE Transactions on Biomedical Engineering.

Robust hierarchical algorithm for constructing a mosaic from images of the curved human retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Rapid, Automated, and Robust Tracing of Vasculature, and Quantification of Visual Features from Angiographic Images

Hong Shen, Badrinath Roysam, Khalid Al-Kofahi, 1997, Microscopy and Microanalysis.

Unsupervised Discovery of Subspace Trends

Peng Qiu, Yan Xu, Badrinath Roysam, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Representing and computing regular languages on massively parallel networks

Joseph A. O'Sullivan, Michael I. Miller, Badrinath Roysam, 1991, IEEE Trans. Neural Networks.

Development of multiplex immunohistochemistry and in situ hybridization using colloidal quantum dots for semi-automated neuronal expression mapping in brain

Badrinath Roysam, Stuart C. Sealfon, Pokman Chan, 2006, SPIE BiOS.

A genetic algorithm for intelligent imaging from quantum-limited data

Badrinath Roysam, Douglas E. Becker, Anoop K. Bhattacharjya, 1992, Signal Process..

Rapid automated three-dimensional tracing of neurons from confocal image stacks

Khalid A. Al-Kofahi, George Nagy, Badrinath Roysam, 2002, IEEE Transactions on Information Technology in Biomedicine.

Tailoring an Introductory Course in Biomedical Imaging

Badrinath Roysam, L. E. Ostrander, B. Roysam, 1999 .

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.

Frame-Rate Spatial Referencing Based on Invariant Indexing and Alignment with Application to Online Retinal Image Registration

Hong Shen, Charles V. Stewart, Badrinath Roysam, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Unsupervised Profiling of Microglial Arbor Morphologies and Distribution Using a Nonparametric Bayesian Approach

Zhu Han, Yan Xu, Badrinath Roysam, 2016, IEEE Journal of Selected Topics in Signal Processing.

Computational Vision (Harry Wechsler)

Badrinath Roysam, 1993, SIAM Rev..

An improved watershed algorithm for counting objects in noisy, anisotropic 3-D biological images

Badrinath Roysam, James N. Turner, Hakan Ancin, 1995, Proceedings., International Conference on Image Processing.

Algorithms for rapid automated tracing of neurons from two-dimensional and three-dimensional confocal images: application to nano-biotechnology

Badrinath Roysam, Khalid Al-Kofahi, 2000 .

A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Automated kymograph analysis for profiling axonal transport of secretory granules

Cheng Fang, Brian Jenkins, Badrinath Roysam, 2011, Medical Image Anal..

Unsupervised inference of arbor morphology progression for microglia from confocal microscope images

Peng Qiu, Michalis A. Savelonas, Yan Xu, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Combining stochastic and syntactic processing with analog computation methods

Michael I. Miller, Badrinath Roysam, 1992, Digit. Signal Process..

Unmixing multiple markers with spectral lifetime measurements

Xavier Intes, Badrinath Roysam, Krenar Tasimi, 2009, BiOS.

Guest Editorial to the Special Letters Issue on Emerging Technologies in Multiparameter Biomedical Optical Imaging and Image Analysis

Atam P. Dhawan, Lihong V. Wang, Badrinath Roysam, 2010 .

Morphologically constrained spectral unmixing by dictionary learning for multiplex fluorescence microscopy

Badrinath Roysam, Raghu Kalluri, Murad Megjhani, 2017, Bioinform..

A feature-based technique for joint, linear estimation of high-order image-to-mosaic transformations: application to mosaicing the curved human retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

A Feature-Based Technique for Joint Linear Estimation of High-Order Image-to-Mosaic Transformations: Mosaicing the Curved Human Retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Spatio-temporal cell cycle phase analysis using level sets and fast marching methods

Jens Rittscher, Dirk R. Padfield, Badrinath Roysam, 2009, Medical Image Anal..

TIMING 2.0: high‐throughput single‐cell profiling of dynamic cell‐cell interactions by time‐lapse imaging microscopy in nanowell grids

Harjeet Singh, David Mayerich, Badrinath Roysam, 2019, Bioinform..

Improved detection of branching points in algorithms for automated neuron tracing from 3D confocal images

Badrinath Roysam, Natalie Dowell-Mesfin, William Shain, 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Unsupervised noise removal algorithms for three-dimensional confocal fluorescence microscopy

Badrinath Roysam, James N. Turner, Chukka Srinivas, 1992 .

Frame-rate spatial referencing based on invariant indexing and alignment with application to laser retinal surgery

Hong Shen, Charles V. Stewart, Badrinath Roysam, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Unsupervised noise removal algorithms for 3-D confocal fluorescence microscopy

Badrinath Roysam, James N. Turner, Donald H. Szarowski, 1992, Electronic Imaging.

Population-scale three-dimensional reconstruction and quantitative profiling of microglia arbors

Carolyn Harris, Badrinath Roysam, William Shain, 2015, Bioinform..

In vitro Assessment of Tissue Damage Following Insertion of Micromachined Neural Prosthetic Devices

Sung June Kim, Badrinath Roysam, Seung Jae Oh, 2004 .

Automatic summarization of changes in image sequences using algorithmic information theory

Ying Chen, Sally Temple, Badrinath Roysam, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Image change detection algorithms: a systematic survey

Badrinath Roysam, Srinivas Andra, Omar Al-Kofahi, 2005, IEEE Transactions on Image Processing.

Placing Sites on the Edge of Planar Silicon Microelectrodes Enhances Chronic Recording Functionality

Badrinath Roysam, Kevin J. Otto, Heui Chang Lee, 2018, IEEE Transactions on Biomedical Engineering.

Axonal transport analysis using Multitemporal Association Tracking

Cheng Fang, Badrinath Roysam, Andrew R. Cohen, 2012, Int. J. Comput. Biol. Drug Des..

The Central Role of Neuroinformatics in the National Academy of Engineering’s Grandest Challenge: Reverse Engineer the Brain

Giorgio A. Ascoli, Badrinath Roysam, William Shain, 2009, Neuroinformatics.

Adaptive 3-D segmentation algorithms for microscope images using local in-focus, and contrast features: application to Pap smears

Badrinath Roysam, James N. Turner, Robert W. Mackin, 1995, Proceedings., International Conference on Image Processing.

Robust model-based vasculature detection in noisy biomedical images

Badrinath Roysam, Harihar Narasimha-Iyer, Vijay Mahadevan, 2004, IEEE Transactions on Information Technology in Biomedicine.

Spatio-temporal cell cycle analysis using 3D level set segmentation of unstained nuclei in line scan confocal fluorescence images

Jens Rittscher, Dirk R. Padfield, Badrinath Roysam, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

The FARSIGHT 3-D Trace Editor

Badrinath Roysam, Jonathan Luisi, Arunachalam Narayanswamy, 2003 .

Corrigendum: Biological imaging software tools

Anne L Plant, Hanchuan Peng, Maryann E Martone, 2012, Nature Methods.

Joint solution of low, intermediate, and high-level vision tasks by evolutionary optimization: Application to computer vision at low SNR

Badrinath Roysam, Anoop K. Bhattacharjya, B. Roysam, 1994, IEEE Trans. Neural Networks.

Automated Three-Dimensional Tracing of Neurons in Confocal and Brightfield Images

Badrinath Roysam, Andrew R. Cohen, Christopher J. Pace, 2003, Microscopy and Microanalysis.

Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy

Charles V. Stewart, Badrinath Roysam, Harihar Narasimha-Iyer, 2006, IEEE Transactions on Biomedical Engineering.

Original Articles Advances in Automated 3-D Image Analysis of Cell Populations Imaged by Codocal Microscopy

Badrinath Roysam, James N. Turner, Thomas Edward Dufresne, 1996 .

The dual-bootstrap iterative closest point algorithm with application to retinal image registration

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2003, IEEE Transactions on Medical Imaging.

A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks

Badrinath Roysam, Gang Lin, Umesh Adiga, 2003, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Image Variational Denoising Using Gradient Fidelity on Curvelet Shrinkage

Liang Xiao, Lili Huang, Badrinath Roysam, 2010, EURASIP J. Adv. Signal Process..

Integrated Analysis of Vascular and Nonvascular Changes From Color Retinal Fundus Image Sequences

Badrinath Roysam, Harihar Narasimha-Iyer, Howard L. Tanenbaum, 2007, IEEE Transactions on Biomedical Engineering.

Automated image analysis technologies for biological 3D light microscopy

Michael Wang, Badrinath Roysam, Timothy Holmes, 1997, Int. J. Imaging Syst. Technol..

Interest Points for Hyperspectral Image Data

Miguel Velez-Reyes, Badrinath Roysam, Amit Mukherjee, 2009, IEEE Transactions on Geoscience and Remote Sensing.

Metrics for comparing explicit representations of interconnected biological networks

David Mayerich, Badrinath Roysam, Christopher Björnsson, 2011, 2011 IEEE Symposium on Biological Data Visualization (BioVis)..

Hierarchically structured unit-simplex transformations for parallel distributed optimization problems

Badrinath Roysam, Anoop K. Bhattacharjya, 1992, IEEE Trans. Neural Networks.

Automated Retinal Image Analysis Over the Internet

Chia-Ling Tsai, Charles V. Stewart, Badrinath Roysam, 2008, IEEE Transactions on Information Technology in Biomedicine.

Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis

Jens Rittscher, Dirk R. Padfield, Badrinath Roysam, 2011, Medical Image Anal..

Light Microscopic Images Reconstructed by Maximum Likelihood Deconvolution

Badrinath Roysam, James N. Turner, Timothy J. Holmes, 1995 .

Improving RAID-5 Performance by Un-striping Moderate-Sized Files

Badrinath Roysam, Ronald K. McMurdy, B. Roysam, 1993, 1993 International Conference on Parallel Processing - ICPP'93.

Robust 3-D Modeling of Vasculature Imagery Using Superellipsoids

Badrinath Roysam, Ricky Tong, James Alexander Tyrrell, 2007, IEEE Transactions on Medical Imaging.

Biological imaging software tools

B. S. Manjunath, Anne L Plant, Nico Stuurman, 2012, Nature Methods.

Automated semantic analysis of changes in image sequences of neurons in culture

Badrinath Roysam, Omar Al-Kofahi, Richard J. Radke, 2006, IEEE Transactions on Biomedical Engineering.

Real-time image processing algorithms for an automated retinal laser surgery system

Badrinath Roysam, James N. Turner, Douglas E. Becker, 1995, Proceedings., International Conference on Image Processing.

A 2-D/3-D model-based method to quantify the complexity of microvasculature imaged by in vivo multiphoton microscopy.

Badrinath Roysam, Vijay Mahadevan, Ricky T. Tong, 2005, Microvascular research.

A Computational Model for C. elegans Locomotory Behavior: Application to Multiworm Tracking

Nicolas Roussel, Badrinath Roysam, Christine A. Morton, 2007, IEEE Transactions on Biomedical Engineering.

Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images

Yousef Al-Kofahi, Badrinath Roysam, William Lee, 2010, IEEE Transactions on Biomedical Engineering.

Computer vision algorithms for retinal vessel detection and width change detection

Charles V. Stewart, Badrinath Roysam, Kenneth H. Fritzsche, 2004 .

Optimal scheduling of tracing computations for real-time vascular landmark extraction from retinal fundus images

Hong Shen, Charles V. Stewart, Badrinath Roysam, 2001, IEEE Transactions on Information Technology in Biomedicine.

A note on future research in vascular and plaque segmentation

Jasjit S. Suri, Charles V. Stewart, Badrinath Roysam, 2003 .

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.

3D-catFISH: a system for automated quantitative three-dimensional compartmental analysis of temporal gene transcription activity imaged by fluorescence in situ hybridization

Bruce L. McNaughton, Badrinath Roysam, John F. Guzowski, 2004, Journal of Neuroscience Methods.

Automated image analysis methods for 3‐D quantification of the neurovascular unit from multichannel confocal microscope images

Badrinath Roysam, Muhammad-Amri Abdul-Karim, William Shain, 2005, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Single-cell profiling of dynamic cytokine secretion and the phenotype of immune cells

Badrinath Roysam, Ivan Liadi, Gabrielle Romain, 2017, PloS one.

Cell‐based quantification of molecular biomarkers in histopathology specimens

Badrinath Roysam, Yousef Al-Kofahi, Wiem Lassoued, 2011, Histopathology.

Joint tracking and locomotion state recognition of C. elegans from time-lapse image sequences

Badrinath Roysam, Yu Wang, B. Roysam, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Adding value to liver (and allograft) biopsy evaluation using a combination of multiplex quantum dot immunostaining, high-resolution whole-slide digital imaging, and automated image analysis.

Badrinath Roysam, Andrew Lesniak, Y. Mizuguchi, 2010, Clinics in liver disease.

A Robust Two-View Method for Increasing the Imaging Depth and Correcting for Signal Attenuation in Confocal Microscope Images

Badrinath Roysam, James N. Turner, Ali Can, 2000, Microscopy and Microanalysis.

Individual Motile CD4+ T Cells Can Participate in Efficient Multikilling through Conjugation to Multiple Tumor Cells

Peng Qiu, Badrinath Roysam, Amine Merouane, 2015, Cancer Immunology Research.

An Active Learning Approach for Rapid Characterization of Endothelial Cells in Human Tumors

Lawrence Carin, Michael D. Feldman, Badrinath Roysam, 2014, PloS one.

Thymocyte-Dendritic Cell Interactions near Sources of CCR7 Ligands in the Thymic Cortex1

Badrinath Roysam, Paul Herzmark, Ellen A. Robey, 2008, The Journal of Immunology.

A hyperfused mitochondrial state achieved at G1–S regulates cyclin E buildup and entry into S phase

Badrinath Roysam, Jennifer Lippincott-Schwartz, J. Lippincott-Schwartz, 2009, Proceedings of the National Academy of Sciences.

Modulation of cultured neural networks using neurotrophin release from hydrogel-coated microelectrode arrays

Sung June Kim, Sang Beom Jun, Badrinath Roysam, 2008, Journal of neural engineering.

Automated Analysis of Longitudinal Changes in Color Retinal Fundus Images for Monitoring Diabetic Retinopathy

Hanumant Singh, Charles V. Stewart, Badrinath Roysam, 2004 .

Antibody Fc engineering improves frequency and promotes kinetic boosting of serial killing mediated by NK cells.

Badrinath Roysam, George Georgiou, Amine Merouane, 2014, Blood.

Robust computer vision algorithms for registering images from curved human retina

Charles V. Stewart, Badrinath Roysam, Ali Can, 2000 .

Quantitative 3-D analysis of GFAP labeled astrocytes from fluorescence confocal images

Badrinath Roysam, William Shain, Michalis Savelonas, 2015, Journal of Neuroscience Methods.

Defocus and Low CNR Detection for Cell Tracking Applications

Jens Rittscher, Badrinath Roysam, Dirk Padfield, 2008 .

Automated Model-Based Segmentation, Tracing, and Analysis of Retinal Vasculature from Digital Fundus Images

Chia-Ling Tsai, Hong Shen, Charles V. Stewart, 2003 .

Automated 5-D analysis of cell migration and interaction in the thymic cortex from time-lapse sequences of 3-D multi-channel multi-photon images.

Ying Chen, Badrinath Roysam, Paul Herzmark, 2009, Journal of immunological methods.