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Screening breast MRI outcomes in routine clinical practice: comparison to BI-RADS benchmarks. Strigel RM, Rollenhagen J, Burnside ES, Elezaby M, Fowler AM, Kelcz F, Salkowski L, DeMartini WB. Academic Radiology 24(4):411-417, 2017.

Towards interactive debugging of rule-based entity matching. Panahi F, Wu W, Doan A, Naughton J. Proceedings of the International Conference on Extending Database Technology (EDBT), 2017.

Ava: From data to insights through conversation. John RJL, Potti N, Patel J. Proceedings of the Conference on Innovative Data Systems Research (CIDR), 2017.

Structure-leveraged methods in breast cancer risk prediction. Fan J, Wu Y, Yuan M, Page D, Liu J, Ong IM, Peissig P, Burnside E. Journal of Machine Learning Research 17:1-15, 2016.

Hypothesis testing in unsupervised domain adaptation with applications in neuroimaging. Zhou H, Ravi S, Ithapu V, Johnson S, Wahba G, Singh V. Advances in Neural Information Processing Systems (NIPS), 2016.

Minimax optimal rates of estimation in high dimensional additive models. Yuan M, Zhou D-X. Annals of Statistics 44(6):2564-2593, 2016.

Degrees of freedom in low rank matrix estimation. Yuan M. Science China Mathematics 59(12):2485–2502.

A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Korthauer K, Chu LF, Newton M, Li Y, Thomson J, Stewart R, Kendziorski K. Genome Biology 17:222, 2016.

Modeling the temporal evolution of postoperative complications. Feld SI, Cobian AG, Tevis SE, Kennedy GD, Craven MW. Proceedings of the American Medical Informatics Association Annual Symposium, 2016.

Adaptive signal recovery on graphs via harmonic analysis for experimental design in neuroimaging. Kim WH, Hwang SJ, Adluru N, Johnson SC, Singh V. Proceedings of the 14th European Conference on Computer Vision (ECCV), Volume 9910 Lecture Notes in Computer Science, 2016.

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