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Biomedical image analysis; Quantitative imaging biomarkers; Pattern recognition; Identification, characterization and validation of imaging biomarkers; Evaluation of genotype to phenotype associations via imaging; Integrated diagnostics; Risk prediction; Personalized screening, prognostication and treatment of cancer.
Haji Maghsoudi O, Gastounioti A, Scott C, Pantalone L, Wu FF, Cohen EA, Winham S, Conant EF, Vachon C, Kontos D: Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment Medical Image Analysis 73 : 2021 (Online ahead of print).
Yousefi B, LaRiviere MJ, Cohen EA, Buckingham TH, Yee SS, Black TA, Chien AL, Noël P, Hwang WT, Katz SI, Aggarwal C, Thompson JC, Carpenter EL, Kontos D: Combining radiomic phenotypes of non-small cell lung cancer with liquid biopsy data may improve prediction of response to EGFR inhibitors Scientific Reports 11 (1): 9984,2021.
Chitalia RD, Rowland J, McDonald ES, Pantalone L, Cohen EA, Gastounioti A, Feldman M, Schnall M, Conant A, Kontos D: Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence Clinical Cancer Research 26 (4): 862-869,2020.
Chitalia R., Viswanath V., Pantel AR, Peterson LM, Gastounioti A., Cohen EA, Muzi M., Karp J., Mankoff DA., Kontos D.: Functional 4-D Clustering for characterizing intratumor heterogeneity in dynamic imaging: Evaluation in FDG PET as a prognostic biomarker for breast cancer Eur J Nucl Med Mol Imaging : 2021.
Gastounioti A, Kasi CD, Scott CG, Brandt KR, Jensen MR, Hruska CB, Wu FF, Norman AD, Conant EF, Winham SJ, Kerlikowske K, Kontos D, Vachon CM: Evaluation of LIBRA Software for Fully Automated Mammographic Density Assessment in Breast Cancer Risk Prediction Radiology 296 (1): 24-31,2020.
Kontos D, Winham SJ, Oustimov A, Pantalone L, Hsieh MK, Gastounioti A, Whaley DH, Hruska CB, Kerlikowske K, Brandt K, Conant EF, Vachon CM: Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk Assessment Radiology 290 (1): 41-49,2019.
B.L. Sprague, E.F. Conant, T. Onega, M.P. Garcia, E.F. Beaber, S.D. Herschorn, C.D. Lehman, A.N.A. Tosteson, R. Lacson, M.D. Schnall, D. Kontos, J.S. Haas, D.L. Weaver, W.E. Barlow, on behalf of the PROSPR consortium: Variation in mammographic breast density assessments among radiologists in clinical practice: Findings from a multicenter observational study Annals of Internal Medicine 165 (7): 457-464,2016.
A.M. McCarthy, B.M. Keller, L.M. Pantalone, M-K. Hsieh, M. Synnestvedt, E.F. Conant, K. Armstrong, D. Kontos: Racial differences in quantitative measures of area and volumetric breast density Journal of the National Cancer Institute (JNCI) 108 (10): djw104 doi: 10.1093/jnci/djw104,2016.
A.B. Ashraf, D. Daye, S. Gavenonis, C. Mies, M. Feldman, M. Rosen, D. Kontos: Identification of intrinsic radio-phenotypes for breast cancer tumors: Preliminary associations with gene expression profiles Radiology 272 (2): 374-84,2014.
S. Pertuz, E. McDonald, S.P. Weinstein, E.F. Conant, D. Kontos: Fully-automated quantitative estimation of volumetric breast density from digital breast tomosynthesis images: Preliminary results and comparison with digital mammography and magnetic resonance imaging Radiology 279 (1): 65-74,2016.
University of Pennsylvania, Department of RadiologyComputational Biomarker Imaging Group (CBIG)3700 Hamilton Walk - Richards Bldg. Rm D702