Multimodal deep learning models for early detection of Alzheimer’s disease stage von Venugopalan, Janani, Tong, Li, Hassanzadeh, Hamid Reza, Wang, May D.

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Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis von Tong, Li, Mitchel, Jonathan, Chatlin, Kevin, Wang, May D.

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Pathology imaging informatics for quantitative analysis of whole-slide images von Kothari, Sonal, Phan, John H, Stokes, Todd H, Wang, May D

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Advancing Medical Imaging Informatics by Deep Learning-Based Domain Adaptation von Choudhary, Anirudh, Tong, Li, Zhu, Yuanda, Wang, May D.

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Semiconductor Quantum Dots for Bioimaging and Biodiagnostic Applications von Kairdolf, Brad A, Smith, Andrew M, Stokes, Todd H, Wang, May D, Young, Andrew N, Nie, Shuming

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Nanotechnology applications in surgical oncology von Singhal, Sunil, Nie, Shuming, Wang, May D

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

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

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

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Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality In Post COVID-19 Era von Isgut, Monica, Gloster, Logan, Choi, Katherine, Venugopalan, Janani, Wang, May D.

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

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

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

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Intraoperative Near-Infrared Imaging of Surgical Wounds after Tumor Resections Can Detect Residual Disease von MADAJEWSKI, Brian, JUDY, Brendan F, MOUCHLI, Anas, KAPOOR, Veena, HOLT, David, WANG, May D, NIE, Shuming, SINGHAL, Sunil

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

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Assessing the impact of human genome annotation choice on RNA-seq expression estimates von Wu, Po-Yen, Phan, John H, Wang, May D

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Desorption electrospray ionization mass spectrometry reveals surface-mediated antifungal chemical defense of a tropical seaweed von Lane, Amy L, Nyadong, Leonard, Galhena, Asiri S, Shearer, Tonya L, Stout, E. Paige, Parry, R. Mitchell, Kwasnik, Mark, Wang, May D, Hay, Mark E, Fernandez, Facundo M, Kubanek, Julia

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Nanometer-scale mapping and single-molecule detection with color-coded nanoparticle probes von Agrawal, Amit, Deo, Rajesh, Wang, Geoffrey D, Wang, May D, Nie, Shuming

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

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Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer von Tong, Li, Wu, Hang, Wang, May D.

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