Badrinath Roysam
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Explore the profile of Badrinath Roysam including associated specialties, affiliations and a list of published articles.
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91
Citations
3177
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Recent Articles
11.
Maric D, Jahanipour J, Li X, Singh A, Mobiny A, Van Nguyen H, et al.
Nat Commun
. 2021 Mar;
12(1):1550.
PMID: 33692351
Mapping biological processes in brain tissues requires piecing together numerous histological observations of multiple tissue samples. We present a direct method that generates readouts for a comprehensive panel of biomarkers...
12.
Becker J, Mayerich D, Padmanabhan M, Barratt J, Ernst A, Boor P, et al.
Kidney Int
. 2020 Jun;
98(1):65-75.
PMID: 32475607
Artificial intelligence (AI) for the purpose of this review is an umbrella term for technologies emulating a nephropathologist's ability to extract information on diagnosis, prognosis, and therapy responsiveness from native...
13.
Liadi I, Singh H, Romain G, Roysam B, Cooper L, Varadarajan N
Oncoimmunology
. 2019 Oct;
8(10):e1051298.
PMID: 31646063
Genetically engineered T cells that express chimeric antigen receptors (CAR) are heterogeneous and thus, understanding the immunotherapeutic efficacy remains a challenge in adoptive cell therapy. We developed a high-throughput single-cell...
14.
Mobiny A, Lu H, Nguyen H, Roysam B, Varadarajan N
IEEE Trans Med Imaging
. 2019 May;
39(1):1-10.
PMID: 31135355
Automatic and accurate classification of apoptosis, or programmed cell death, will facilitate cell biology research. The state-of-the-art approaches in apoptosis classification use deep convolutional neural networks (CNNs). However, these networks...
15.
Lu H, Li J, Martinez-Paniagua M, Bandey I, Amritkar A, Singh H, et al.
Bioinformatics
. 2018 Aug;
35(4):706-708.
PMID: 30084956
Motivation: Automated profiling of cell-cell interactions from high-throughput time-lapse imaging microscopy data of cells in nanowell grids (TIMING) has led to fundamental insights into cell-cell interactions in immunotherapy. This application...
16.
An X, Sendra V, Liadi I, Ramesh B, Romain G, Haymaker C, et al.
PLoS One
. 2017 Aug;
12(8):e0181904.
PMID: 28837583
Natural killer (NK) cells are a highly heterogeneous population of innate lymphocytes that constitute our first line of defense against several types of tumors and microbial infections. Understanding the heterogeneity...
17.
Placing Sites on the Edge of Planar Silicon Microelectrodes Enhances Chronic Recording Functionality
Lee H, Gaire J, Roysam B, Otto K
IEEE Trans Biomed Eng
. 2017 Jun;
65(6):1245-1255.
PMID: 28641240
Objective: This study aims to identify the impact of using edge sites over center sites on a planar silicon microelectrode array. Methods: We used custom-designed, silicon-substrate multisite microelectrode arrays with...
18.
Megjhani M, Correa de Sampaio P, Leigh Carstens J, Kalluri R, Roysam B
Bioinformatics
. 2017 Mar;
33(14):2182-2190.
PMID: 28334208
Motivation: Current spectral unmixing methods for multiplex fluorescence microscopy have a limited ability to cope with high spectral overlap as they only analyze spectral information over individual pixels. Here, we...
19.
Barton E, Lu Y, Megjhani M, Maynard M, Kulkarni P, Roysam B, et al.
Neuroscience
. 2016 Dec;
343:165-173.
PMID: 27932309
Exercise is increasingly being used as a treatment for alcohol use disorders (AUD), but the interactive effects of alcohol and exercise on the brain remain largely unexplored. Alcohol damages the...
20.
Xu Y, Qiu P, Roysam B
IEEE Trans Pattern Anal Mach Intell
. 2015 Sep;
37(10):2131-45.
PMID: 26353189
This paper presents unsupervised algorithms for discovering previously unknown subspace trends in high-dimensional data sets without the benefit of prior information. A subspace trend is a sustained pattern of gradual/progressive...