Articles with public access mandates - Despina KontosLearn more
Not available anywhere: 18
Women in steady exercise research (WISER) sister: study design and methods
KH Schmitz, NI Williams, D Kontos, MS Kurzer, M Schnall, S Domchek, ...
Contemporary clinical trials 41, 17-30, 2015
Mandates: US National Institutes of Health
Risk factors for breast cancer subtypes among Black women undergoing screening mammography
TM Friebel-Klingner, S Ehsan, EF Conant, D Kontos, SM Domchek, ...
Breast Cancer Research and Treatment 189 (3), 827-835, 2021
Mandates: US National Institutes of Health, Susan G. Komen
Fully-automated fibroglandular tissue segmentation in breast MRI
S Wu, S Weinstein, BM Keller, EF Conant, D Kontos
Breast Imaging: 11th International Workshop, IWDM 2012, Philadelphia, PA …, 2012
Mandates: US National Institutes of Health
Breast cancer risk prediction via area and volumetric estimates of breast density
BM Keller, EF Conant, H Oh, D Kontos
Breast Imaging: 11th International Workshop, IWDM 2012, Philadelphia, PA …, 2012
Mandates: US National Institutes of Health
A fully-automated software pipeline for integrating breast density and parenchymal texture analysis for digital mammograms: parameter optimization in a case-control breast …
Y Zheng, Y Wang, BM Keller, E Conant, JC Gee, D Kontos
Medical Imaging 2013: Computer-Aided Diagnosis 8670, 333-339, 2013
Mandates: US National Institutes of Health
Correlative hierarchical clustering-based low-rank dimensionality reduction of radiomics-driven phenotype in non-small cell lung cancer
B Yousefi, N Jahani, MJ LaRiviere, E Cohen, MK Hsieh, JM Luna, ...
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019
Mandates: US National Institutes of Health
Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas
S Wu, SP Weinstein, EF Conant, D Kontos
Medical Imaging 2013: Computer-Aided Diagnosis 8670, 340-345, 2013
Mandates: US National Institutes of Health
Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the acrin 6657/i-spy-1 trial
N Jahani, E Cohen, MK Hsieh, SP Weinstein, L Pantalone, C Davatzikos, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 626-632, 2018
Mandates: US National Institutes of Health
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation
D Wei, S Weinstein, MK Hsieh, L Pantalone, M Schnall, D Kontos
Medical Imaging 2017: Image Processing 10133, 319-324, 2017
Mandates: US National Institutes of Health
Application of computer-extracted breast tissue texture features in predicting false-positive recalls from screening mammography
S Ray, JY Choi, BM Keller, J Chen, EF Conant, D Kontos
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 508-514, 2014
Mandates: US National Institutes of Health
Changes in mammographic density and risk of breast cancer among a diverse cohort of women undergoing mammography screening
A Gastounioti, EA Cohen, L Pantalone, S Ehsan, S Vasudevan, A Kurudi, ...
Breast Cancer Research and Treatment 198 (3), 535-544, 2023
Mandates: Susan G. Komen
Automatic segmentation of fibroglandular tissue in breast MRI using anatomy-driven three-dimensional spatial context
D Wei, S Weinstein, MK Hsieh, L Pantalone, D Kontos
Medical Imaging 2018: Image Processing 10574, 764-769, 2018
Mandates: US National Institutes of Health
Parameter optimization of parenchymal texture analysis for prediction of false-positive recalls from screening mammography
S Ray, BM Keller, J Chen, EF Conant, D Kontos
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 497-504, 2016
Mandates: US National Institutes of Health
Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk
M Mahrooghy, AB Ashraf, D Daye, C Mies, M Rosen, M Feldman, ...
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 230-236, 2014
Mandates: US National Institutes of Health
MultiComBat: ComBat harmonization of multiple batch variables
H Horng, D Kontos, RT Shinohara
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 30-34, 2023
Mandates: US National Institutes of Health
Computational imaging applications in brain and breast cancer
A Gastounioti, S Rathore, OH Maghsoudi, EF Conant, D Kontos, S Bakas
State of the Art in Neural Networks and Their Applications, 29-45, 2023
Mandates: US National Institutes of Health, Susan G. Komen
Intrinsic radiomics phenotypes of DCI from breast DCE-MRI: demonstrating feasibility in interim analysis of the ECOG-ACRIN E4112 trial
V Belenky, R Chitalia, N Lewis, D Biswas, C Gatsonis, J Xiao, M Hirano, ...
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 65-74, 2021
Mandates: US National Institutes of Health
Intensity standardization in breast MR images improves tissue quantification
S Wu, JK Udupa, A Marinaki, SP Weinstein, D Kontos
Medical Imaging 2013: Physics of Medical Imaging 8668, 553-558, 2013
Mandates: US National Institutes of Health
Available somewhere: 128
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, ...
Journal of the National Cancer Institute 106 (11), dju316, 2014
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
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