Vineet K. Raghu

According to our database, Vineet K. Raghu authored at least 10 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images.

Yanru Chen, Michael T. Lu, Vineet K. Raghu

Proceedings of the Medical Imaging with Deep Learning, 2023

2021

A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data.

Vineet K. Raghu, Xiaoyu Ge, Arun Balajiee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020

CausalMGM: an interactive web-based causal discovery tool.

Xiaoyu Ge, Vineet K. Raghu, Panos K. Chrysanthis, Panayiotis V. Benos

Nucleic Acids Res., 2020

A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data.

Vineet K. Raghu, Xiaoyu Ge, Arun Balajee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis

CoRR, 2020

2019

Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis.

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

Bioinform., 2019

2018

Comparison of strategies for scalable causal discovery of latent variable models from mixed data.

Vineet K. Raghu, Joseph D. Ramsey, Alison Morris, Dimitrios V. Manatakis, Peter Spirtes, Panos K. Chrysanthis, Clark Glymour, Panayiotis V. Benos

Int. J. Data Sci. Anal., 2018

piMGM: incorporating multi-source priors in mixed graphical models for learning disease networks.

Dimitris V. Manatakis, Vineet K. Raghu, Panayiotis V. Benos

Bioinform., 2018

Evaluation of Causal Structure Learning Methods on Mixed Data Types.

Vineet K. Raghu, Allen Poon, Panayiotis V. Benos

Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018

2017

Integrated Theory-and Data-Driven Feature Selection in Gene Expression Data Analysis.

Vineet K. Raghu, Xiaoyu Ge, Panos K. Chrysanthis, Panayiotis V. Benos

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2015

T-ReCS: Stable Selection of Dynamically Formed Groups of Features with Application to Prediction of Clinical Outcomes.

Grace T. Huang, Ioannis Tsamardinos, Vineet K. Raghu, Naftali Kaminski, Panayiotis V. Benos

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015