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Vineet Kalathur Raghu, Ph.D.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Lu MT, Raghu VK, Mayrhofer T, Aerts HJWL, Hoffmann U. Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model. Ann Intern Med. 2020 Sep 01. PMID: 32866413.
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  2. Ge X, Raghu VK, Chrysanthis PK, Benos PV. CausalMGM: an interactive web-based causal discovery tool. Nucleic Acids Res. 2020 Jul 02; 48(W1):W597-W602. PMID: 32392295.
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  3. Ramanathan S, Raghu V, Ramchandani P. Imaging of the adult male urethra, penile prostheses and artificial urinary sphincters. Abdom Radiol (NY). 2020 Jul; 45(7):2018-2035. PMID: 31834460.
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  4. Sedgewick AJ, Buschur K, Shi I, Ramsey JD, Raghu VK, Manatakis DV, Zhang Y, Bon J, Chandra D, Karoleski C, Sciurba FC, Spirtes P, Glymour C, Benos PV. Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis. Bioinformatics. 2019 04 01; 35(7):1204-1212. PMID: 30192904.
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  5. Raghu VK, Zhao W, Pu J, Leader JK, Wang R, Herman J, Yuan JM, Benos PV, Wilson DO. Feasibility of lung cancer prediction from low-dose CT scan and smoking factors using causal models. Thorax. 2019 07; 74(7):643-649. PMID: 30862725.
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  6. Kapanigowda MK, Nagadi A, Patwari S, Raghu V, Chadaga H. Migrating pseudomeningocele: A rare complication of posterior fossa surgery. Neurol India. 2019 Mar-Apr; 67(2):532-533. PMID: 31085872.
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  7. Ramanathan S, Raghu V, Ladumor SB, Nagadi AN, Palaniappan Y, Dogra V, Schieda N. Magnetic resonance imaging of common, uncommon, and rare implantation sites in ectopic pregnancy. Abdom Radiol (NY). 2018 12; 43(12):3425-3435. PMID: 29713741.
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  8. Manatakis DV, Raghu VK, Benos PV. piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks. Bioinformatics. 2018 09 01; 34(17):i848-i856. PMID: 30423087.
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  9. Raghu VK, Poon A, Benos PV. Evaluation of Causal Structure Learning Methods on Mixed Data Types. Proc Mach Learn Res. 2018 Aug; 92:48-65. PMID: 31080946.
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  10. Raghu VK, Ramsey JD, Morris A, Manatakis DV, Sprites P, Chrysanthis PK, Glymour C, Benos PV. Comparison of strategies for scalable causal discovery of latent variable models from mixed data. Int J Data Sci Anal. 2018; 6(1):33-45. PMID: 30148202.
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  11. Raghu VK, Beckwitt CH, Warita K, Wells A, Benos PV, Oltvai ZN. Biomarker identification for statin sensitivity of cancer cell lines. Biochem Biophys Res Commun. 2018 01 01; 495(1):659-665. PMID: 29146185.
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  12. Raghu VK, Ge X, Chrysanthis PK, Benos PV. Integrated Theory- and Data-driven Feature Selection in Gene Expression Data Analysis. Proc Int Conf Data Eng. 2017 Apr; 2017:1525-1532. PMID: 29422764.
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  13. Ramanathan S, Raghu V, Kumar D, Sempiege VR. Sclerosing liposarcoma of epididymis: Role of chemical shift magnetic resonance imaging. Indian J Radiol Imaging. 2016 Jul-Sep; 26(3):356-359. PMID: 27857462.
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  14. Kondylis ED, Wozny TA, Lipski WJ, Popescu A, DeStefino VJ, Esmaeili B, Raghu VK, Bagic A, Richardson RM. Detection of high-frequency oscillations by hybrid depth electrodes in standard clinical intracranial EEG recordings. Front Neurol. 2014; 5:149. PMID: 25147541.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.