Publications by authors named "Vanathi Gopalakrishnan"

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Estimating the incidence and risk factors of postpartum hemorrhage from the national ENACT network.
Malarkodi J Samayamuthu, Olga Kravchenko, Wei-Hsuan Lo-Ciganic, Eugene M Sadhu, Seonkyeong Yang, Vanathi Gopalakrishnan

Res Sq· November 2025

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Challenges and opportunities for omics-based precision medicine in chronic low back pain.
Ayesha Firdous, Vanathi Gopalakrishnan, Nam Vo, Gwendolyn Sowa

Eur Spine J· July 2025

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Trends in Postpartum Hemorrhage Prevalence and Comorbidity Burden: Insights from the ENACT Network Aggregated Electronic Health Record Data.
Malarkodi J Samayamuthu, Olga Kravchenko, Wei-Hsuan Lo-Ciganic, Eugene M Sadhu, Seonkyeong Yang, Vanathi Gopalakrishnan

Res Sq· September 2024

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Realistic biomarkers from plasma extracellular vesicles for detection of beryllium exposure.
Raju S R Adduri, Ravikiran Vasireddy, Margaret M Mroz, Anisha Bhakta, Yang Li, Vanathi Gopalakrishnan

Int Arch Occup Environ Health· October 2022

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A novel approach to modeling multifactorial diseases using Ensemble Bayesian Rule classifiers.
Jeya Balaji Balasubramanian, Rebecca D Boes, Vanathi Gopalakrishnan

J Biomed Inform· July 2020

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Towards precision critical care management of blood pressure in hemorrhagic stroke patients using dynamic linear models.
Yuzhe Liu, Jody Manners, Yazan Bittar, Sherry H-Y Chou, Vanathi Gopalakrishnan

PLoS One· March 2020

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A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.
Rafael Ceschin, Alexandria Zahner, William Reynolds, Jenna Gaesser, Giulio Zuccoli, Vanathi Gopalakrishnan

Neuroimage· September 2018

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Tunable structure priors for Bayesian rule learning for knowledge integrated biomarker discovery.
Jeya Balaji Balasubramanian, Vanathi Gopalakrishnan

World J Clin Oncol· September 2018

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An Overview and Evaluation of Recent Machine Learning Imputation Methods Using Cardiac Imaging Data.
Yuzhe Liu, Vanathi Gopalakrishnan

Data (Basel)· March 2017

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Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure.
Jonathan Lyle Lustgarten, Jeya Balaji Balasubramanian, Shyam Visweswaran, Vanathi Gopalakrishnan

Data (Basel)· March 2017

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Application of Taxonomic Modeling to Microbiota Data Mining for Detection of Helminth Infection in Global Populations.
Mahbaneh Eshaghzadeh Torbati, Makedonka Mitreva, Vanathi Gopalakrishnan

Data (Basel)· December 2016

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cMRI-BED: A novel informatics framework for cardiac MRI biomarker extraction and discovery applied to pediatric cardiomyopathy classification.
Vanathi Gopalakrishnan, Prahlad G Menon, Shobhit Madan

Biomed Eng Online· June 2016

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On Predicting lung cancer subtypes using 'omic' data from tumor and tumor-adjacent histologically-normal tissue.
Arturo López Pineda, Henry Ato Ogoe, Jeya Balaji Balasubramanian, Claudia Rangel Escareño, Shyam Visweswaran, Vanathi Gopalakrishnan

BMC Cancer· March 2016

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Application of Bayesian logistic regression to mining biomedical data.
Viji R Avali, Gregory F Cooper, Vanathi Gopalakrishnan

AMIA Annu Symp Proc· September 2015

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Novel Application of Junction Trees to the Interpretation of Epigenetic Differences among Lung Cancer Subtypes.
Arturo Lopez Pineda, Vanathi Gopalakrishnan

AMIA Jt Summits Transl Sci Proc· August 2015

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Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data.
Henry A Ogoe, Shyam Visweswaran, Xinghua Lu, Vanathi Gopalakrishnan

BMC Bioinformatics· July 2015

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sfDM: Open-Source Software for Temporal Analysis and Visualization of Brain Tumor Diffusion MR Using Serial Functional Diffusion Mapping.
Rafael Ceschin, Ashok Panigrahy, Vanathi Gopalakrishnan

Cancer Inform· February 2015

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Selective model averaging with bayesian rule learning for predictive biomedicine.
Jeya B Balasubramanian, Shyam Visweswaran, Gregory F Cooper, Vanathi Gopalakrishnan

AMIA Jt Summits Transl Sci Proc· February 2015

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Evaluation of a 4-protein serum biomarker panel-biglycan, annexin-A6, myeloperoxidase, and protein S100-A9 (B-AMP)-for the detection of esophageal adenocarcinoma.
Ali H Zaidi, Vanathi Gopalakrishnan, Pashtoon M Kasi, Xuemei Zeng, Usha Malhotra

Cancer· December 2014

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Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids.
Rick Jordan, Shyam Visweswaran, Vanathi Gopalakrishnan

J Clin Bioinforma· November 2014

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Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics.
Joyeeta Dutta-Moscato, Vanathi Gopalakrishnan, Michael T Lotze, Michael J Becich

J Pathol Inform· May 2014

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Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework.
Prahlad G Menon, Lailonny Morris, Mara Staines, Joao Lima, Daniel C Lee, Vanathi Gopalakrishnan

Proc SPIE Int Soc Opt Eng· February 2014

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An empirical workflow for genome-wide single nucleotide polymorphism-based predictive modeling.
Charalampos S Floudas, Jeya Balaji Balasubramanian, Marjorie Romkes, Vanathi Gopalakrishnan

AMIA Jt Summits Transl Sci Proc· December 2013

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Context-sensitive markov models for peptide scoring and identification from tandem mass spectrometry.
Himanshu Grover, Garrick Wallstrom, Christine C Wu, Vanathi Gopalakrishnan

OMICS· February 2013

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A Partitioning Based Adaptive Method for Robust Removal of Irrelevant Features from High-dimensional Biomedical Datasets.
Guodong Liu, Lan Kong, Vanathi Gopalakrishnan

AMIA Jt Summits Transl Sci Proc· August 2012

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