Dr. Huang's research is in non-parametric machine learning and deep learning methods in prediction algorithm development using multi-dimensional data. She has developed several image texture feature extraction techniques and computer-aided cancer early diagnosis prediction algorithms that have been independently validated in studies of pulmonary nodules, renal masses, hypervascular liver lesions, and pancreatic lesions.
Huang P, Chen D, Voelkel JO, Minimum aberration two-level split plot design. Technometrics 1998; 40(4): 314-326
Huang P., Tilley B, Woolson R, and Lipsitz S, Adjusting O'Brien's test to control type I error for the generalized nonparametric Behrens-Fisher problem. Biometrics 2005; 61:532-539
Huang P, Ou AH, Piantadosi S, Tan M. Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis. Contemp Clin Trials. 2014;39(2):294-302. Epub 2014/10/14. doi: 10.1016/j.cct.2014.09.005. PubMed PMID: 25308312; PMCID: PMC4254362
Huang P, Park S, Yan R, Lee J, Chu LC, Cheng TL, Hussien A, Rathmell J, Thomas B, Chen C, Hales R, Steingrimsson J, Ettinger DS, MD, Brock M, Hu P, Fishman EK, Gabrielson E, Lam S. Added Value of Computer-aided CT Image Features for Early Lung Cancer Diagnosis with Small Pulmonary Nodules: A Matched Case-Control Study. Radiology. 2018 Jan;286(1):286-295. Epub 2017 Sep 5. https://doi.org/10.1148/radiol.2017162725 PMID: 28872442
Huang P, Lin CT, Li Y, Tammemagi MC, Brock MV, Atkar-Khattra S, Xu Y, Hu P, Mayo JR, Schmidt H, Gingras M, Pasian S, Stewart L, Tsai S, Seely JM, Manos D, Burrowes P, Bhatia R, Tsao MS, Lam S. Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method. Lancet Digit Health. 2019;1(7):e353-e62. Epub 2020/08/31. doi: 10.1016/S2589-7500(19)30159-1. PubMed PMID: 32864596; PMCID: PMC7450858
Lung Cancer Prediction
Patent # PCT/US2020039139 |