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ORCIDVineet K. Raghu
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2020 – today
- 2023
[c4]Yanru Chen, Michael T. Lu, Vineet K. Raghu:
A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images. MIDL 2023: 1826-1858- [i2]Yanru Chen, Michael T. Lu, Vineet K. Raghu:
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images. CoRR abs/2306.08955 (2023) - 2021
- [j5]Vineet K. Raghu
, Xiaoyu Ge, Arun Balajiee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis:
A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 811-822 (2021) - 2020
- [j4]Xiaoyu Ge, Vineet K. Raghu, Panos K. Chrysanthis, Panayiotis V. Benos:
CausalMGM: an interactive web-based causal discovery tool. Nucleic Acids Res. 48(Webserver-Issue): W597-W602 (2020) - [i1]Vineet K. Raghu, Xiaoyu Ge, Arun Balajee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis:
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data. CoRR abs/2005.02521 (2020)
2010 – 2019
- 2019
- [j3]Andrew J. Sedgewick, Kristina Buschur, Ivy Shi, Joseph D. Ramsey, Vineet K. Raghu, Dimitris V. Manatakis, Yingze Zhang, Jessica Bon, Divay Chandra, Chad Karoleski, Frank C. Sciurba, Peter Spirtes, Clark Glymour, Panayiotis V. Benos:
Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis. Bioinform. 35(7): 1204-1212 (2019) - 2018
- [j2]Dimitris V. Manatakis, Vineet K. Raghu, Panayiotis V. Benos:
piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks. Bioinform. 34(17): i848-i856 (2018) - [j1]Vineet K. Raghu, Joseph D. Ramsey, Alison Morris, Dimitrios V. Manatakis, Peter Spirtes, Panos K. Chrysanthis, Clark Glymour, Panayiotis V. Benos:
Comparison of strategies for scalable causal discovery of latent variable models from mixed data. Int. J. Data Sci. Anal. 6(1): 33-45 (2018) - [c3]Vineet K. Raghu, Allen Poon, Panayiotis V. Benos:
Evaluation of Causal Structure Learning Methods on Mixed Data Types. CD@KDD 2018: 48-65 - 2017
- [c2]Vineet K. Raghu, Xiaoyu Ge, Panos K. Chrysanthis, Panayiotis V. Benos:
Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis. ICDE 2017: 1525-1532 - 2015
- [c1]Grace T. Huang, Ioannis Tsamardinos, Vineet K. Raghu, Naftali Kaminski, Panayiotis V. Benos:
T-ReCS: Stable Selection of Dynamically Formed Groups of Features with Application to Prediction of Clinical Outcomes. Pacific Symposium on Biocomputing 2015: 431-442
Coauthor Index
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