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Despina Kontos, Ph.D.

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Matthew J. Wilson Professor of Research Radiology II
Associate Vice-Chair for Research, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, PA
Department: Radiology

Contact information
University of Pennsylvania, Department of Radiology
Computational Biomarker Imaging Group (CBIG), Center for Biomedical Image Computing and Analytics (CBICA), 3700 Hamilton Walk - Richards Bldg. Rm D702
Philadelphia, PA 19104
Office: 215-746-4064
Lab: 215-746-4060
B.Eng. (Computer Engineering and Informatics )
University of Patras, Greece, 2000.
M.Sc. (Computer and Information Sciences )
Temple University, Philadelphia PA , 2003.
Ph.D. (Computer and Information Sciences )
Temple University, Philadelphia PA , 2006.
Post-Graduate Training
Research Fellow in Basic Radiologic Sciences, Radiological Society of North America (RSNA), Department of Radiology, University of Pennsylvania, Philadelphia PA, 2006-2008.
Fellow in Radiology-Physics and Breast Imaging, Susan G. Komen for the Cure Foundation, Department of Radiology, University of Pennsylvania, Philadelphia PA (Research Fellowship), 2008-2010.
Clinical Research Certificate, Center for Clinical Epidemiology and Biostatistics (CCEB), University of Pennsylvania, Philadelphia PA , 2009.
Total Leadership Program, an innovative program developed by Dr. Stewart Friedman at Wharton School of the University of Pennsylvania, offered as part of an NIH study to promote women’s success in Academic Medicine, Philadelphia PA, 2010.
Interpersonal Dynamics Training, Office of Organization Effectiveness on personality styles and group dynamics using the Myers-Briggs Type Indicator, Perelman School of Medicine, University of Pennsylvania, Philadelphia PA , 2014.
Research Mentor Training, a Course Series of six two-hour Case-Based training sessions designed to enhance specific skills in being an effective Mentor, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 2014.
High-Impact Cancer Research (HICR) Program in Cancer Biology and Therapeutics, Harvard Medical School, Boston MA, 2019.
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Description of Research Expertise

Imaging data science; Machine learning & AI; 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.

Description of Other Expertise

Research faculty wellness; Diversity, equity, and inclusion; Junior faculty development.

Selected Publications

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(102138), Oct 2021.

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, May 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, Feb 2020 Notes: doi: 10.1158/1078-0432.CCR-18-4067.

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 48(12): 3990-4001, Mar 2021 Notes: DOI: 10.1007/s00259-021-05324-0.

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, July 2020 Notes: doi: 10.1148/radiol.2020192509.

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, Jan 2019 Notes: doi: 10.1148/radiol.2018180179.

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, Oct 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, Apr 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, Aug 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, Apr 2016.

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Last updated: 05/15/2023
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