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Activities

Employment (3)

University of Pittsburgh: Pittsburgh, PA, US

2000-01-01 to present (Department of Biomedical Informatics)
Employment
Source: Self-asserted source
Vanathi Gopalakrishnan

Intelligent Systems, M. D. (now iCAD, Inc,): Clearwater, Florida, US

1995 to 1997 | Co-Founder
Employment
Source: Self-asserted source
Vanathi Gopalakrishnan

Wipro (India): Bengaluru, Karnataka, IN

1988 to 1989 | Systems Executive
Employment
Source: Self-asserted source
Vanathi Gopalakrishnan

Education and qualifications (3)

University of Pittsburgh: Pittsburgh, PA, US

1992-01-01 to 1999-12-15 | PhD (Computer Science Department)
Education
Source: Self-asserted source
Vanathi Gopalakrishnan

University of Pittsburgh: Pittsburgh, Pennsylvania, US

1989-09 to 1991 | M.S. (Computer Science)
Education
Source: Self-asserted source
Vanathi Gopalakrishnan

BMS College of Engineering: Bangalore, Karnataka, IN

1983 to 1988-05 | B. Eng. (Computer Science and Technology)
Education
Source: Self-asserted source
Vanathi Gopalakrishnan

Professional activities (2)

University of Pittsburgh: Pittsburgh, US

2018-09-01 to 2022-08-31 | Director, Intelligent Systems Program (Co-Director first two years) (School of Computing and Information)
Service
Source: Self-asserted source
Vanathi Gopalakrishnan

B.M.S. College of Engineering: Bengaluru, IN

2020 | Distinguished Alumna Award (Computer Science and Technology)
Distinction
Source: Self-asserted source
Vanathi Gopalakrishnan

Funding (3)

Transfer Rule Learning with Functional Mapping for Integrative Modeling of Panomics Data

2012-09-24 to 2020-03-31 | Grant
National Institute of General Medical Sciences (Bethesda, US)
GRANT_NUMBER: R01GM100387
Source: Self-asserted source
Vanathi Gopalakrishnan via DimensionsWizard

Bayesian Rule Learning Methods for Disease Prediction and Biomarker Discovery

2011-08-15 to 2015-06-30 | Grant
United States National Library of Medicine (Bethesda, US)
GRANT_NUMBER: R01LM010950
Source: Self-asserted source
Vanathi Gopalakrishnan via DimensionsWizard

Intelligent Aids for Proteomic Data Mining

2004-07-01 to 2009-06-30 | Grant
National Institute of General Medical Sciences (Bethesda, US)
GRANT_NUMBER: K25GM071951
Source: Self-asserted source
Vanathi Gopalakrishnan via DimensionsWizard

Works (50 of 93)

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Page 1 of 2

The Human-AI Interface: Unveiling Novel Qualitative Strategies for Enhancing OUD Treatment Decisions

https://bupe2021.com/he-human-ai-interface-unveiling-novel-qualitative-strategies-for-enhancing-opioid-use-disorder-treatment-decisions/
2024 | Other
Contributors: Wojda, Thomas; Mani, Serena; Gopalakrishnan, Vanathi
Source: Self-asserted source
Vanathi Gopalakrishnan

Trends in Postpartum Hemorrhage Prevalence and Comorbidity Burden: Insights from the ENACT Network Aggregated Electronic Health Record Data

Research Square
2024 | Other
EID:

2-s2.0-85206985118

Contributors: Samayamuthu, M.J.; Kravchenko, O.; Lo-Ciganic, W.-H.; Sadhu, E.M.; Yang, S.; Visweswaran, S.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier

Global Chronic Disease Burden Can Be Reduced by Taking Care of Our Mitochondria

Open Access Biostatistics & Bioinformatics
2024-08-22 | Journal article
Part of ISSN: 2578-0247
Contributors: Vanathi Gopalakrishnan
Source: Self-asserted source
Vanathi Gopalakrishnan via Crossref Metadata Search
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Challenges and opportunities for omics-based precision medicine in chronic low back pain

European Spine Journal
2022 | Journal article
EID:

2-s2.0-85144900954

Part of ISSN: 14320932 09406719
Contributors: Firdous, A.; Gopalakrishnan, V.; Vo, N.; Sowa, G.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Realistic biomarkers from plasma extracellular vesicles for detection of beryllium exposure

International Archives of Occupational and Environmental Health
2022 | Journal article
EID:

2-s2.0-85129855167

Part of ISSN: 14321246 03400131
Contributors: Adduri, R.S.R.; Vasireddy, R.; Mroz, M.M.; Bhakta, A.; Li, Y.; Chen, Z.; Miller, J.W.; Velasco-Alzate, K.Y.; Gopalakrishnan, V.; Maier, L.A. et al.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier

Artificial intelligence’s grand challenges: past, present, and future

AI Magazine
2021 | Journal article
Contributors: Mani, Ganesh; Chen, Frank; Cross, Steve; Kalil, Thomas; Gopalakrishnan, Vanathi; Rossi, Francesca; Stanley, Ken
Source: Self-asserted source
Vanathi Gopalakrishnan

Towards learning clinically relevant explainable models via Bayesian Rule Learning with utilities

Proceedings of the 12th International Workshop on Knowledge Representation for Health Care (KR4HC 2021), held in conjunction with the 19th International Conference on Artificial Intelligence in Medicine (AIME 2021)
2021 | Conference paper
Contributors: Gopalakrishnan, Vanathi; Balasubramanian, Jeya; Kip, Kevin; Reis, Steven
Source: Self-asserted source
Vanathi Gopalakrishnan

A novel approach to modeling multifactorial diseases using Ensemble Bayesian Rule classifiers

Journal of Biomedical Informatics
2020 | Journal article
EID:

2-s2.0-85086589677

Part of ISSN: 15320464
Contributors: Balasubramanian, J.B.; Boes, R.D.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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KARL: Knowledge Augmented Rule Learning for Informed Biomarker Discovery

2019 | Journal article
Contributors: Ogoe, Henry A; Torbati, Mahbaneh Eshaghzadeh; Gopalakrishnan, Vanathi
Source: Self-asserted source
Vanathi Gopalakrishnan

Knowledge discovery with Bayesian Rule Learning for actionable biomedicine

bioRxiv
2019 | Other
EID:

2-s2.0-85092825784

Part of ISSN: 26928205
Contributors: Balasubramanian, J.B.; Kip, K.E.; Reis, S.E.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier

Towards precision critical care management of blood pressure in hemorrhagic stroke patients using dynamic linear models

PLoS ONE
2019 | Journal article
EID:

2-s2.0-85070253739

Part of ISSN: 19326203
Contributors: Liu, Y.; Manners, J.; Bittar, Y.; Chou, S.H.-Y.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks

NeuroImage
2018 | Journal article
EID:

2-s2.0-85047319524

Contributors: Ceschin, R.; Zahner, A.; Reynolds, W.; Gaesser, J.; Zuccoli, G.; Lo, C.W.; Gopalakrishnan, V.; Panigrahy, A.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Message from General Chairs

Proceedings - 2017 International Conference on Information Technology, ICIT 2017
2018 | Conference paper
EID:

2-s2.0-85051590657

Contributors: Padhy, S.; Gopalakrishnan, V.; Oria, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Tunable structure priors for Bayesian rule learning for knowledge integrated biomarker discovery

World Journal of Clinical Oncology
2018 | Journal article
EID:

2-s2.0-85054847235

Contributors: Balasubramanian, J.B.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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An overview and evaluation of recent machine learning imputation methods using cardiac imaging data

Data
2017 | Journal article
EID:

2-s2.0-85046732387

Part of ISSN: 23065729
Contributors: Liu, Y.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Learning parsimonious classification rules from gene expression data using bayesian networks with local structure

Data
2017 | Journal article
EID:

2-s2.0-85054818189

Part of ISSN: 23065729
Contributors: Lustgarten, J.L.; Balasubramanian, J.B.; Visweswaran, S.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Application of taxonomic modeling to microbiota data mining for detection of helminth infection in global populations

Data
2016 | Journal article
EID:

2-s2.0-85043495323

Part of ISSN: 23065729
Contributors: Torbati, M.E.; Mitreva, M.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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conferenceseries. com

Integrative Biology
2016 | Journal article
Contributors: Gopalakrishnan, Vanathi
Source: Self-asserted source
Vanathi Gopalakrishnan

NeBSS: Semi-Automated Parcellation of Neonatal Structural Brain MRI

2016 | Journal article
Contributors: Ceschin, Rafael; Zahner, Alexandria; Gopalakrishnan, Vanathi; Panigrahy, Ashok
Source: Self-asserted source
Vanathi Gopalakrishnan

On Predicting lung cancer subtypes using 'omic' data from tumor and tumor-adjacent histologically-normal tissue

BMC Cancer
2016 | Journal article
EID:

2-s2.0-84959257760

Contributors: Pineda, A.L.; Ogoe, H.A.; Balasubramanian, J.B.; Rangel Escareño, C.; Visweswaran, S.; Herman, J.G.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier

Methods for the detection of esophageal adenocarcinoma

2016-10 | Other
Contributors: Zaidi, Ali Hussainy; Jobe, Blair Anderson; Zeng, Xuemei; Balasubramanian, Jeya Balaji; Gopalakrishnan, Vanathi; Bigbee, William Lyman
Source: Self-asserted source
Vanathi Gopalakrishnan

cMRI-BED: A novel informatics framework for cardiac MRI biomarker extraction and discovery applied to pediatric cardiomyopathy classification

BioMedical Engineering Online
2015 | Journal article
EID:

2-s2.0-84956774405

Contributors: Gopalakrishnan, V.; Menon, P.G.; Madan, S.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Knowledge transfer via classification rules using functional mapping for integrative modeling of gene expression data

BMC Bioinformatics
2015 | Journal article
EID:

2-s2.0-84937675219

Contributors: Ogoe, H.A.; Visweswaran, S.; Lu, X.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Novel Application of Junction Trees to the Interpretation of Epigenetic Differences among Lung Cancer Subtypes

AMIA Joint Summits on Translational Science, March 23-27, 2015, San Francisco, CA
2015 | Conference paper
Contributors: Pineda, Arturo Lopez; Gopalakrishnan, Vanathi
Source: Self-asserted source
Vanathi Gopalakrishnan

Quantitative clinical guidelines for imaging use in evaluation of pediatric cardiomyopathy

Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
2015 | Conference paper
EID:

2-s2.0-84962362081

Contributors: Liu, Y.; Gopalakrishnan, V.; Madan, S.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Sfdm: Open-source software for temporal analysis and visualization of brain tumor diffusion mr using serial functional diffusion mapping

Cancer Informatics
2015 | Journal article
EID:

2-s2.0-84922011255

Contributors: Ceschin, R.; Ceschin, R.; Panigrahy, A.; Panigrahy, A.; Gopalakrishnan, V.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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935a Evaluation of a Four-Protein Biomarker Panel (Biglycan, Annexin-A6, Myeloperoxidase and Protein S100-A9; B-AMP̧opyright) for Detection of Esophageal Adenocarcinoma

Gastroenterology
2014 | Journal article
Contributors: Zaidi, Ali H; Gopalakrishnan, Vanathi; Kasi, Pashtoon M; Malhotra, Usha; Balasubramanian, Jeya; Visweswaran, Shyam; Zeng, Xuemei; Sun, Mai; Bergman, Jacques J; Bigbee, William L et al.
Source: Self-asserted source
Vanathi Gopalakrishnan

A Flexible Feature Selection Framework for Improving Breast Cancer Classification from Sparse Spectral Count Proteomic Data

Proceedings of the International Conference on Data Science (ICDATA)
2014 | Conference paper
Contributors: Shi, Lanfei; Grover, Himanshu; Balasubramanian, Jeya B; Kolli, Kumar; Shriver, Craig D; Gopalakrishnan, Vanathi
Source: Self-asserted source
Vanathi Gopalakrishnan

A novel framework to enhance scientific knowledge of cardiovascular MRI biomarkers and their application to pediatric cardiomyopathy classification

International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2014); Granada, Spain
2014 | Conference paper
Contributors: Gopalakrishnan, Vanathi; Menon, Prahlad G; Madan, Shobhit
Source: Self-asserted source
Vanathi Gopalakrishnan

Application of Bayesian logistic regression to mining biomedical data

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
2014 | Journal article
EID:

2-s2.0-84964314750

Contributors: Avali, V.R.; Cooper, G.F.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Creating a pipeline of talent for informatics: STEM initiative for high school students in computer science, biology, and biomedical informatics

Journal of pathology informatics
2014 | Other
Contributors: Dutta-Moscato, Joyeeta; Gopalakrishnan, Vanathi; Lotze, Michael T; Becich, Michael J
Source: Self-asserted source
Vanathi Gopalakrishnan

Evaluation of a 4-protein serum biomarker panel-biglycan, annexin-A6, myeloperoxidase, and protein S100-A9 (B-AMP)-for the detection of esophageal adenocarcinoma

Cancer
2014 | Journal article
EID:

2-s2.0-84919347969

Contributors: Zaidi, A.H.; Gopalakrishnan, V.; Kasi, P.M.; Zeng, X.; Malhotra, U.; Balasubramanian, J.; Visweswaran, S.; Sun, M.; Flint, M.S.; Davison, J.M. et al.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier

Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework

Progress in Biomedical Optics and Imaging - Proceedings of SPIE
2014 | Conference paper
EID:

2-s2.0-84902108664

Contributors: Menon, P.G.; Morris, L.; Staines, M.; Lima, J.; Lee, D.C.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Selective model averaging with bayesian rule learning for predictive biomedicine

AMIA Summits on Translational Science Proceedings
2014 | Journal article
Contributors: Balasubramanian, Jeya B; Visweswaran, Shyam; Cooper, Gregory F; Gopalakrishnan, Vanathi
Source: Self-asserted source
Vanathi Gopalakrishnan

Semi-automated literature mining to identify putative biomarkers of disease from multiple biofluids

Journal of Clinical Bioinformatics
2014 | Journal article
EID:

2-s2.0-84988826674

Contributors: Jordan, R.; Visweswaran, S.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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An empirical workflow for genome-wide single nucleotide polymorphism-based predictive modeling

AMIA Summits on Translational Science Proceedings
2013 | Journal article
Contributors: Floudas, Charalampos S; Balasubramanian, Jeya Balaji; Romkes, Marjorie; Gopalakrishnan, Vanathi
Source: Self-asserted source
Vanathi Gopalakrishnan

Context-sensitive markov models for peptide scoring and identification from tandem mass spectrometry

OMICS A Journal of Integrative Biology
2013 | Journal article
EID:

2-s2.0-84873347163

Contributors: Grover, H.; Wallstrom, G.; Wu, C.C.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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A multiplexed serum biomarker immunoassay panel discriminates clinical lung cancer patients from high-risk individuals found to be cancer-free by CT screening

Journal of Thoracic Oncology
2012 | Journal article
EID:

2-s2.0-84858766991

Contributors: Bigbee, W.L.; Gopalakrishnan, V.; Weissfeld, J.L.; Wilson, D.O.; Dacic, S.; Lokshin, A.E.; Siegfried, J.M.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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A Partitioning Based Adaptive Method for Robust Removal of Irrelevant Features from High-dimensional Biomedical Datasets

AMIA Summits on Translational Science Proceedings
2012 | Journal article
Contributors: Liu, Guodong; Kong, Lan; Gopalakrishnan, Vanathi
Source: Self-asserted source
Vanathi Gopalakrishnan

Efficient processing of models for large-scale shotgun proteomics data

CollaborateCom 2012 - Proceedings of the 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing
2012 | Conference paper
EID:

2-s2.0-84874423314

Contributors: Grover, H.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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A metaproteomic approach to study human-microbial ecosystems at the mucosal luminal interface

PLoS ONE
2011 | Journal article
EID:

2-s2.0-81455144570

Contributors: Li, X.; LeBlanc, J.; Truong, A.; Vuthoori, R.; Chen, S.S.; Lustgarten, J.L.; Roth, B.; Allard, J.; Ippoliti, A.; Presley, L.L. et al.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
grade
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Application of an efficient Bayesian discretization method to biomedical data

BMC Bioinformatics
2011 | Journal article
EID:

2-s2.0-79960654059

Contributors: Lustgarten, J.L.; Visweswaran, S.; Gopalakrishnan, V.; Cooper, G.F.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Lung cancer serum biomarker discovery using label-free liquid chromatography-tandem mass spectrometry

Journal of Thoracic Oncology
2011 | Journal article
EID:

2-s2.0-79953027129

Contributors: Zeng, X.; Hood, B.L.; Zhao, T.; Conrads, T.P.; Sun, M.; Gopalakrishnan, V.; Grover, H.; Day, R.S.; Weissfeld, J.L.; Wilson, D.O. et al.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Transfer learning of classification rules for biomarker discovery and verification from molecular profiling studies

Journal of Biomedical Informatics
2011 | Journal article
EID:

2-s2.0-83755202239

Contributors: Ganchev, P.; Malehorn, D.; Bigbee, W.L.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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A multiplexed serum biomarker immunoassay panel discriminates clinical lung cancer patients from cancer-free high-risk subjects in a CT-screened cohort

CANCER RESEARCH
2010 | Conference paper
Contributors: Bigbee, William L; Gopalakrishnan, Vanathi; Dacic, Sanja; Hauskrecht, Milos; Weissfeld, Joel L; Wilson, David O; Siegfried, Jill M; Lokshin, Anna E
Source: Self-asserted source
Vanathi Gopalakrishnan

Abstract LB-210: A multiplexed serum biomarker immunoassay panel discriminates clinical lung cancer patients from cancer-free high-risk subjects in a CT-screened cohort

Cancer Research
2010 | Journal article
Contributors: Bigbee, William L; Gopalakrishnan, Vanathi; Dacic, Sanja; Hauskrecht, Milos; Weissfeld, Joel L; Wilson, David O; Siegfried, Jill M; Lokshin, Anna E
Source: Self-asserted source
Vanathi Gopalakrishnan

Bayesian rule learning for biomedical data mining

Bioinformatics
2010 | Journal article
EID:

2-s2.0-77949607287

Contributors: Gopalakrishnan, V.; Lustgarten, J.L.; Visweswaran, S.; Cooper, G.F.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
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Discovery and verification of amyotrophic lateral sclerosis biomarkers by proteomics

Muscle and Nerve
2010 | Journal article
EID:

2-s2.0-77954122515

Contributors: Ryberg, H.; An, J.; Darko, S.; Lustgarten, J.L.; Jaffa, M.; Gopalakrishnan, V.; Lacomis, D.; Cudkowicz, M.; Bowser, R.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
grade
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Conditional graphical models for protein structural motif recognition

Journal of Computational Biology
2009 | Journal article
EID:

2-s2.0-67649298047

Contributors: Liu, Y.; Carbonell, J.; Gopalakrishnan, V.; Weigele, P.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
grade
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Knowledge-based variable selection for learning rules from proteomic data

BMC Bioinformatics
2009 | Conference paper
EID:

2-s2.0-70349871043

Part of ISSN: 14712105
Contributors: Lustgarten, J.L.; Visweswaran, S.; Bowser, R.P.; Hogan, W.R.; Gopalakrishnan, V.
Source: Self-asserted source
Vanathi Gopalakrishnan via Scopus - Elsevier
grade
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