May Wang

May Dongmei Wang is a Chinese-American biomedical engineer whose research involves biomedical big data analytics, the interpretation and application of big data in medicine and biology, as generated from microarrays and quantum dots. She is a professor of biomedical engineering and Wallace H. Coulter Distinguished Faculty Fellow in the Wallace H. Coulter Department of Biomedical Engineering, a joint program of Georgia Tech, Emory University, and Peking University. Provided by Wikipedia
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  1. 1
    An Integrated Deep Network for Cancer Survival Prediction Using Omics Data

    An Integrated Deep Network for Cancer Survival Prediction Using Omics Data by Hamid Reza Hassanzadeh, May D. Wang

    Published 2021-07-01
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  2. 2
    Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning

    Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning by Hang Wu, Wenqi Shi, May D. Wang

    Published 2024-05-01
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  3. 3
    Eliminating tissue-fold artifacts in histopathological whole-slide images for improved image-based prediction of cancer grade

    Eliminating tissue-fold artifacts in histopathological whole-slide images for improved image-based prediction of cancer grade by Sonal Kothari, John H Phan, May D Wang

    Published 2013-01-01
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  4. 4
    Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction

    Robust Microarray Meta-Analysis Identifies Differentially Expressed Genes for Clinical Prediction by John H. Phan, Andrew N. Young, May D. Wang

    Published 2012-01-01
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  5. 5
    Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach

    Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach by Hang Wu, Wenqi Shi, Anirudh Choudhary, May D. Wang

    Published 2024-09-01
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  6. 6
    Towards an Effective Patient Health Engagement System Using Cloud-Based Text Messaging Technology

    Towards an Effective Patient Health Engagement System Using Cloud-Based Text Messaging Technology by Chih-Wen Cheng, Clark R. Brown, Janani Venugopalan, May D. Wang

    Published 2020-01-01
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  7. 7
    Feasibility analysis of high resolution tissue image registration using 3-D synthetic data

    Feasibility analysis of high resolution tissue image registration using 3-D synthetic data by Yachna Sharma, Richard A Moffitt, Todd H Stokes, Qaiser Chaudry, May D Wang

    Published 2011-01-01
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  8. 8
    Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening

    Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening by Sofiya Vyshnya, Rachel Epperson, Felipe Giuste, Wenqi Shi, Andrew Hornback, May D. Wang

    Published 2024-01-01
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  9. 9
    Improving explainable AI with patch perturbation-based evaluation pipeline: a COVID-19 X-ray image analysis case study

    Improving explainable AI with patch perturbation-based evaluation pipeline: a COVID-19 X-ray image analysis case study by Jimin Sun, Wenqi Shi, Felipe O. Giuste, Yog S. Vaghani, Lingzi Tang, May D. Wang

    Published 2023-11-01
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  10. 10
    Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit

    Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit by Yuanda Zhu, Janani Venugopalan, Zhenyu Zhang, Zhenyu Zhang, Nikhil K. Chanani, Kevin O. Maher, May D. Wang

    Published 2022-04-01
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  11. 11
    Identifying and characterizing disease subpopulations that most benefit from polygenic risk scores

    Identifying and characterizing disease subpopulations that most benefit from polygenic risk scores by Monica Isgut, Felipe Giuste, Logan Gloster, Aniketh Swain, Katherine Choi, Andrew Hornback, Shriprasad R. Deshpande, May D. Wang

    Published 2024-09-01
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  12. 12
    Early and fair COVID-19 outcome risk assessment using robust feature selection

    Early and fair COVID-19 outcome risk assessment using robust feature selection by Felipe O. Giuste, Lawrence He, Peter Lais, Wenqi Shi, Yuanda Zhu, Andrew Hornback, Chiche Tsai, Monica Isgut, Blake Anderson, May D. Wang

    Published 2023-11-01
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  13. 13
    Whole Reproductive System Non-Negative Matrix Factorization Mass Spectrometry Imaging of an Early-Stage Ovarian Cancer Mouse Model.

    Whole Reproductive System Non-Negative Matrix Factorization Mass Spectrometry Imaging of an Early-Stage Ovarian Cancer Mouse Model. by Martin R L Paine, Jaeyeon Kim, Rachel V Bennett, R Mitchell Parry, David A Gaul, May D Wang, Martin M Matzuk, Facundo M Fernández

    Published 2016-01-01
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  14. 14
    Graph theoretic visualization of patient and health worker messaging in the EHR

    Graph theoretic visualization of patient and health worker messaging in the EHR by Muhammad Zia ul Haq, Andrew Hornback, Arash Harzand, David Andrew Gutman, Bradley Gallaher, Evan D. Schoenberg, Yuanda Zhu, May D. Wang, Blake Anderson, Blake Anderson

    Published 2024-12-01
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  15. 15
    Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence

    Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence by Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ben J. Tamo, Micky C. Nnamdi, Andrew Hornback, Ashley M. Carpenter, Coleman Hilton, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang

    Published 2025-01-01
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  16. 16
    Novel methods for elucidating modality importance in multimodal electrophysiology classifiers

    Novel methods for elucidating modality importance in multimodal electrophysiology classifiers by Charles A. Ellis, Charles A. Ellis, Mohammad S. E. Sendi, Mohammad S. E. Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Robyn L. Miller, Vince D. Calhoun, Vince D. Calhoun, Vince D. Calhoun

    Published 2023-03-01
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  17. 17
    Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?

    Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic? by Catherine P. Adans-Dester, Stacy Bamberg, Francesco P. Bertacchi, Brian Caulfield, Kara Chappie, Danilo Demarchi, M. Kelley Erb, Juan Estrada, Eric E. Fabara, Michael Freni, Karl E. Friedl, Roozbeh Ghaffari, Geoffrey Gill, Mark S. Greenberg, Reed W. Hoyt, Emil Jovanov, Christoph M. Kanzler, Dina Katabi, Meredith Kernan, Colleen Kigin, Sunghoon I. Lee, Steffen Leonhardt, Nigel H. Lovell, Jose Mantilla, Thomas H. McCoy, Nell Meosky Luo, Glenn A. Miller, John Moore, Derek O'Keeffe, Jeffrey Palmer, Federico Parisi, Shyamal Patel, Jack Po, Benito L. Pugliese, Thomas Quatieri, Tauhidur Rahman, Nathan Ramasarma, John A. Rogers, Guillermo U. Ruiz-Esparza, Stefano Sapienza, Gregory Schiurring, Lee Schwamm, Hadi Shafiee, Sara Kelly Silacci, Nathaniel M Sims, Tanya Talkar, William J. Tharion, James A. Toombs, Christopher Uschnig, Gloria P. Vergara-Diaz, Paul Wacnik, May D. Wang, James Welch, Lina Williamson, Ross Zafonte, Adrian Zai, Yuan-Ting Zhang, Guillermo J. Tearney, Rushdy Ahmad, David R. Walt, Paolo Bonato

    Published 2020-01-01
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