Despina Kontos
Despina Kontos
Associate Professor, University of Pennsylvania, Department of Radiology
Verified email at - Homepage
Cited by
Cited by
Screening outcomes following implementation of digital breast tomosynthesis in a general-population screening program
AM McCarthy, D Kontos, M Synnestvedt, KS Tan, DF Heitjan, M Schnall, ...
JNCI: Journal of the National Cancer Institute 106 (11), 2014
Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c‐means clustering and support vector machine segmentation
BM Keller, DL Nathan, Y Wang, Y Zheng, JC Gee, EF Conant, D Kontos
Medical physics 39 (8), 4903-4917, 2012
Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles
AB Ashraf, D Daye, S Gavenonis, C Mies, M Feldman, M Rosen, D Kontos
Radiology 272 (2), 374-384, 2014
Variation in mammographic breast density assessments among radiologists in clinical practice: a multicenter observational study
BL Sprague, EF Conant, T Onega, MP Garcia, EF Beaber, SD Herschorn, ...
Annals of internal medicine 165 (7), 457-464, 2016
Simultaneous assessment of gastric accommodation and emptying: studies with liquid and solid meals
HP Simonian, AH Maurer, LC Knight, S Kantor, D Kontos, ...
Journal of Nuclear Medicine 45 (7), 1155-1160, 2004
Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment
A Gastounioti, EF Conant, D Kontos
Breast cancer research 18 (1), 1-12, 2016
Breast Percent Density: Estimation on Digital Mammograms and Central Tomosynthesis Projections1
PR Bakic, AK Carton, D Kontos, C Zhang, AB Troxel, ADA Maidment
Radiology 252 (1), 40-49, 2009
Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: a preliminary study
D Kontos, PR Bakic, AK Carton, AB Troxel, EF Conant, ADA Maidment
Academic radiology 16 (3), 283-298, 2009
Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome
C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ...
Journal of medical imaging 5 (1), 011018, 2018
Parenchymal texture analysis in digital mammography: a fully automated pipeline for breast cancer risk assessment
Y Zheng, BM Keller, S Ray, Y Wang, EF Conant, JC Gee, D Kontos
Medical physics 42 (7), 4149-4160, 2015
Automated chest wall line detection for whole‐breast segmentation in sagittal breast MR images
S Wu, SP Weinstein, EF Conant, MD Schnall, D Kontos
Medical physics 40 (4), 042301, 2013
Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas‐aided fuzzy C‐means method
S Wu, SP Weinstein, EF Conant, D Kontos
Medical physics 40 (12), 122302, 2013
Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density …
BM Keller, J Chen, D Daye, EF Conant, D Kontos
Breast Cancer Research 17 (1), 1-17, 2015
Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment
D Kontos, LC Ikejimba, PR Bakic, AB Troxel, EF Conant, ADA Maidment
Radiology 261 (1), 80-91, 2011
Role of texture analysis in breast MRI as a cancer biomarker: A review
RD Chitalia, D Kontos
Journal of Magnetic Resonance Imaging 49 (4), 927-938, 2019
A multichannel Markov random field framework for tumor segmentation with an application to classification of gene expression-based breast cancer recurrence risk
AB Ashraf, SC Gavenonis, D Daye, C Mies, MA Rosen, D Kontos
IEEE transactions on medical imaging 32 (4), 637-648, 2012
Quantitative assessment of background parenchymal enhancement in breast MRI predicts response to risk-reducing salpingo-oophorectomy: preliminary evaluation in a cohort of …
S Wu, SP Weinstein, MJ DeLeo, EF Conant, J Chen, SM Domchek, ...
Breast Cancer Research 17 (1), 1-11, 2015
Racial differences in quantitative measures of area and volumetric breast density
AM McCarthy, BM Keller, LM Pantalone, MK Hsieh, M Synnestvedt, ...
JNCI: Journal of the National Cancer Institute 108 (10), 2016
A representation and classification scheme for tree-like structures in medical images: analyzing the branching pattern of ductal trees in X-ray galactograms
V Megalooikonomou, M Barnathan, D Kontos, PR Bakic, ADA Maidment
IEEE Transactions on medical imaging 28 (4), 487-493, 2008
Applying spatial distribution analysis techniques to classification of 3D medical images
D Pokrajac, V Megalooikonomou, A Lazarevic, D Kontos, Z Obradovic
Artificial Intelligence in Medicine 33 (3), 261-280, 2005
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