Shandong Wu

  • Assistant Professor

I am an Assistant Professor with joint appointments in Radiology, Biomedical Informatics, and Bioengineering. I am also a member of the Biomedical Informatics Training Program Core Faculty, University of Pittsburgh Cancer Institute (UPCI) and Magee-Womens Research Institute, and the Intelligent Systems Program (ISP) of Computer Science at Pitt. My background is in Computer Science (Computer Vision) with additional postdoctoral training (at University of Pennsylvania, School of Medicine, Department of Radiology) in clinical imaging and radiology research specialized in breast cancer research. My research interfaces a broad range of interdisciplinary in computational science and medicine for translational and clinical applications. My main research areas include computational biomedical imaging analysis, big (health) data coupled with machine/deep learning, imaging-based clinical studies, radiomics/radiogenomics, and artificial intelligence in clinical informatics/workflows. Current research interests center on computational breast imaging and clinical studies for investigating quantitative imaging-derived biomarkers, models, and systems for breast cancer screening, risk assessment, diagnosis, prognosis, and treatment, towards improving individualized clinical decision-making and precision medicine.

My research is supported (as a sole Principle Investigator) by National Institute of Health (NIH)/National Cancer Institute (NCI) (R01), Radiological Society of North America (RSNA), University of Pittsburgh Medical Center (UPMC), UPCI-Institute of Precision Medicine, Pitt Clinical and Translational Science Institute, and Nvidia, Inc. I established and lead a multidisciplinary research team with complimentary expertise, including computer scientists, radiologists, pathologists, medical oncologists, biostatisticians, geneticists, postdocs, senior research specialists, students, and international visiting scholars. I have published more than 50 journal and conference papers and participated as key research personnel in more than 20 research projects granted by international-wide research agencies. I have mentored/co-mentored more than 25 students (both undergraduate and graduate) in their research or theses, several of which have resulted in co-authored publications. I am a regular reviewer for many grant agencies/study sections, renowned journals, and conferences.

Institution of Highest Degree

  • City University of Hong Kong

Representative Publications

Shandong Wu, Wendie A. Berg, Margarita L. Zuley, Brenda F. Kurland, Rachel C. Jankowitz, Robert Nishikawa, David Gur, and Jules H. Sumkin, Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer, Breast Cancer Research, May 2016, 18:76, 2016.

Justin C Brown, Despina Kontos, Mitchell Schnall, Shandong Wu, Kathryn H Schmitz. The Dose-Response Effects of Aerobic Exercise on Body Composition and Breast Tissue among Women at High Risk for Breast Cancer: A Randomized Trial. Cancer Prevention Research, 9(7): 581-8, Jul. 2016.

Kathryn H. Schmitz, Nancy I. Williams, Despina Kontos, Susan Domchek, Knashawn H. Morales, Wei-Ting Hwang, Lorita L. Grant, Laura DiGiovanni, Domenick Salvatore, Desire Fenderson, Mitchell Schnall, Mary Lou Galantino, Jill Stopfer, Mindy S. Kurzer, Shandong Wu, Jessica Adelman, Justin C. Brown, Jerene Good, Dose Response Effects of Aerobic Exercise on Estrogen Among Women at High Risk for Breast Cancer: A Randomized Controlled Trial, Breast Cancer Research and Treatment, 154(2):309-18, Nov. 2015.

Shandong Wu, Susan P. Weinstein, Michael J DeLeo III, Emily F. Conant, Jinbo Chen, Susan M. Domchek, Despina Kontos, Quantitative assessment of Background Parenchymal Enhancement in breast MRI predicts response to Risk-Reducing Salpingo-Oophorectomy: Preliminary evaluation in a cohort of BRCA1/2 mutation carriers, Breast Cancer Research, 17(1):67-77, May 2015.

Schmitz KH, Williams NI, Kontos D, Kurzer M, Schnall M, Domchek S, Stopfer J, Galantino ML, Hwang W, Morales K, Shandong Wu, DiGiovanni L, Salvatore D, Fenderson D, Good J, Sturgeon K, Grant L, Bryan CJ, Adelman J. Women In Steady Exercise Research (WISER) Sister: Study Design and Methods. Contemporary Clinical Trials. 41:17-30, Mar. 2015.

Yong Wang, Shiqiang Hu, and Shandong Wu. Visual tracking based on group sparsity learning, Machine Vision and Applications, volume 26, issue 1, pp 127-139, Jan. 2015.

Jieyang Ju, Ruosha Li, Suicheng Gu, Joseph Ken Leader, Xiaohua Wang, Yahong Chen, Bin Zheng, Shandong Wu, David Gur, Frank Sciurba, and Jiantao Pu. Impact of emphysema heterogeneity on pulmonary function. PLoS ONE, volume 9, issue 11, pp. e113320, Nov 2014.

Research Interests

Computational biomedical imaging analysis
Big (health) data coupled with machine/deep learning
Artificial intelligence in clinical informatics/workflows
Imaging-based clinical studies
Computer vision