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Despina Kontos
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2020 – today
- 2023
- [c72]Hannah Horng
, Despina Kontos, Russell T. Shinohara:
MultiComBat: ComBat harmonization of multiple batch variables. Computer-Aided Diagnosis 2023 - [c71]Apurva Singh, Hannah Horng
Radiomics analysis to diagnose tumor invasiveness of pulmonary sub-solid nodules from longitudinal pre-surgical CT scans. Computer-Aided Diagnosis 2023 - [c70]Chunrui Zou
A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images. Computer-Aided Diagnosis 2023 - [e1]Ipek Oguz, Jack H. Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heimann, Despina Kontos, Bennett A. Landman, Benoit M. Dawant:
Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA. Proceedings of Machine Learning Research 227, PMLR 2023 [contents] - 2022
- [c69]Hannah Horng
Iterative ComBat methods for harmonization of radiomic features. Computer-Aided Diagnosis 2022 - [c68]Apurva Singh, Florian A. Hölzl
A comparison of feature selection methods for the development of a prognostic radiogenomic biomarker in non-small cell lung cancer patients. Computer-Aided Diagnosis 2022 - [c67]Apurva Singh, Hannah Horng
Resampling and harmonization for mitigation of heterogeneity in imaging parameters: a comparative study. Computer-Aided Diagnosis 2022 - [i4]Keshava Katti
MammoDL: Mammographic Breast Density Estimation using Federated Learning. CoRR abs/2206.05575 (2022) - [i3]Babak Haghighi, Warren B. Gefter, Lauren Pantalone, Despina Kontos, Eduardo Jose Mortani Barbosa Jr.:
Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns. CoRR abs/2206.09766 (2022) - 2021
- [j11]Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher G. Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey J. Winham, Emily F. Conant, Celine M. Vachon, Despina Kontos:
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. Medical Image Anal. 73: 102138 (2021) - [c66]Vivian Belenky, Rhea Chitalia, Nickolas Lewis, Debosmita Biswas, Constantine Gatsonis, Jennifer Xiao, Michael Hirano, Sunil Badve, Joseph A. Sparano, Seema Khan, Kathy D. Miller, Constance Lehman, Justin Romanoff, Antonio C. Wolff, Christopher Comstock, Savannah C. Partridge, Habib Rahbar, Despina Kontos:
Intrinsic radiomics phenotypes of DCI from breast DCE-MRI: demonstrating feasibility in interim analysis of the ECOG-ACRIN E4112 trial. Computer-Aided Diagnosis 2021 - [c65]José Marcio Luna, Andrew R. Barsky, Russell T. Shinohara, Alexandra D. Dreyfuss, Leonid Roshkovan
Radiomic features predict local failure-free survival in stage III NSCLC adenocarcinoma treated with chemoradiation. Computer-Aided Diagnosis 2021 - [c64]Apurva Singh
Development of a radiogenomic biomarker for tumor characterization and prognosis in non-small cell lung cancer patients. Computer-Aided Diagnosis 2021 - [i2]Sarthak Pati, Siddhesh P. Thakur, Megh Bhalerao, Ujjwal Baid, Caleb M. Grenko, Brandon Edwards, Micah J. Sheller, Jose Agraz, Bhakti Baheti, Vishnu Bashyam, Parth Sharma, Babak Haghighi, Aimilia Gastounioti, Mark Bergman, Bjoern H. Menze, Despina Kontos, Christos Davatzikos, Spyridon Bakas:
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging. CoRR abs/2103.01006 (2021) - 2020
- [c63]Raymond Joseph Acciavatti, Eric A. Cohen, Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Meng-Kang Hsieh, Emily F. Conant, Christopher G. Scott, Stacey J. Winham, Karla Kerlikowske, Celine Vachon, Andrew D. A. Maidment, Despina Kontos:
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis. Computer-Aided Diagnosis 2020 - [c62]Babak Haghighi, Peter B. Noël, Eric A. Cohen, Lauren Pantalone, Anil Vachani, Katharine A. Rendle
Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR study. Computer-Aided Diagnosis 2020 - [c61]Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Christos Davatzikos, Spyridon Bakas, Despina Kontos:
O-Net: An Overall Convolutional Network for Segmentation Tasks. MLMI@MICCAI 2020: 199-209 - [i1]Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher G. Scott, Lauren Pantalone, Fang-Fang Wu, Eric A. Cohen, Stacey J. Winham, Emily F. Conant, Celine M. Vachon, Despina Kontos:
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment. CoRR abs/2011.08001 (2020)
2010 – 2019
- 2019
- [j10]Dong Wei
Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line Detection. IEEE Trans. Biomed. Eng. 66(6): 1567-1579 (2019) - [c60]Simina M. Boca, David Hanauer, Ian Holmes, Despina Kontos, Juli D. Klemm:
The National Cancer Institute's Informatics Technology for Cancer Research Program: Building a Community of Practice in Cancer Informatics. AMIA 2019 - [c59]Sarthak Pati
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) 2019: 380-394 - [c58]Ruvini Navaratna, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Marie Shelanski, Emily F. Conant, Despina Kontos:
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ. Computer-Aided Diagnosis 2019: 109502K - 2018
- [c57]Raymond Joseph Acciavatti
Validation of the textural realism of a 3D anthropomorphic phantom for digital breast tomosynthesis. IWBI 2018: 107180R - [c56]Nariman Jahani, Eric A. Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Christos Davatzikos, Despina Kontos:
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. Computer-Aided Diagnosis 2018: 105752S - [c55]Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort. Image Processing 2018: 105742H - 2017
- [c54]Andrew Oustimov, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk. Computer-Aided Diagnosis 2017: 101340S - [c53]Aimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Mammographic phenotypes of breast cancer risk driven by breast anatomy. Computer-Aided Diagnosis 2017: 1013417 - [c52]Dong Wei, Susan Weinstein, Meng-Kang Hsieh, Lauren Pantalone, Mitchell D. Schnall, Despina Kontos:
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation. Image Processing 2017: 1013314 - 2016
- [c51]Aimilia Gastounioti, Brad M. Keller, Meng-Kang Hsieh, Emily F. Conant, Despina Kontos:
Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control study. Computer-Aided Diagnosis 2016: 97850M - [c50]Shonket Ray, Brad M. Keller, Jinbo Chen, Emily F. Conant, Despina Kontos:
Parameter optimization of parenchymal texture analysis for prediction of false-positive recalls from screening mammography. Computer-Aided Diagnosis 2016: 97851Y - [c49]Brad M. Keller, Aimilia Gastounioti, Rebecca C. Batiste, Despina Kontos, Michael D. Feldman:
Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis. Digital Pathology 2016: 97910A - 2015
- [j9]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye
Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. IEEE Trans. Biomed. Eng. 62(6): 1585-1594 (2015) - [c48]Ning Yu, Jia Wu, Susan P. Weinstein
A superpixel-based framework for automatic tumor segmentation on breast DCE-MRI. Computer-Aided Diagnosis 2015: 94140O - [c47]Jia Wu, Yangming Ou
Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration. Computer-Aided Diagnosis 2015: 94141Z - 2014
- [c46]Predrag R. Bakic
Correlation between Topological Descriptors of the Breast Ductal Network from Clinical Galactograms and Texture Features of Corresponding Mammograms. Digital Mammography / IWDM 2014: 658-665 - [c45]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye
Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. Computer-Aided Diagnosis 2014: 90350X - [c44]Brad M. Keller, Jinbo Chen, Emily F. Conant, Despina Kontos:
Breast density and parenchymal texture measures as potential risk factors for estrogen-receptor positive breast cancer. Computer-Aided Diagnosis 2014: 90351D - [c43]Shonket Ray, Jae Y. Choi, Brad M. Keller, Jinbo Chen, Emily F. Conant, Despina Kontos:
Application of computer-extracted breast tissue texture features in predicting false-positive recalls from screening mammography. Computer-Aided Diagnosis 2014: 90351X - 2013
- [j8]Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye
A Multichannel Markov Random Field Framework for Tumor Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk. IEEE Trans. Medical Imaging 32(4): 637-648 (2013) - [c42]Shandong Wu, Susan P. Weinstein
Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas. Computer-Aided Diagnosis 2013: 86701C - [c41]Yuanjie Zheng, Yan Wang, Brad M. Keller, Emily F. Conant, James C. Gee, Despina Kontos:
A fully-automated software pipeline for integrating breast density and parenchymal texture analysis for digital mammograms: parameter optimization in a case-control breast cancer risk assessment study. Computer-Aided Diagnosis 2013: 86701B - [c40]Yan Wang, Brad M. Keller, Yuanjie Zheng, Raymond Joseph Acciavatti
Texture feature standardization in digital mammography for improving generalizability across devices. Computer-Aided Diagnosis 2013: 867026 - [c39]Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. MICCAI (2) 2013: 295-302 - 2012
- [c38]Jagadeesan Jayender, Kirby G. Vosburgh, Eva Gombos, Ahmad Ashraf, Despina Kontos, Sara Gavenonis, Ferenc A. Jolesz, Kilian M. Pohl:
Automatic segmentation of breast carcinomas from DCE-MRI using a Statistical Learning Algorithm. ISBI 2012: 122-125 - [c37]Brad M. Keller, Emily F. Conant, Huen Oh, Despina Kontos:
Breast Cancer Risk Prediction via Area and Volumetric Estimates of Breast Density. Digital Mammography / IWDM 2012: 236-243 - [c36]Shandong Wu, Susan Weinstein
Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI. Digital Mammography / IWDM 2012: 244-251 - [c35]Gopal Karemore
Mammographic Parenchymal Texture Analysis for Estrogen-Receptor Subtype Specific Breast Cancer Risk Estimation. Digital Mammography / IWDM 2012: 596-603 - [c34]Yan Wang, Brad M. Keller, Yuanjie Zheng, Raymond Joseph Acciavatti
A Phantom Study for Assessing the Effect of Different Digital Detectors on Mammographic Texture Features. Digital Mammography / IWDM 2012: 604-610 - [c33]Shandong Wu, Susan P. Weinstein
Fully automated chest wall line segmentation in breast MRI by using context information. Computer-Aided Diagnosis 2012: 831507 - [c32]Ahmed Bilal Ashraf, Lilie Lin, Sara C. Gavenonis, Carolyn Mies, Eric Xanthopoulos, Despina Kontos:
Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images. Computer-Aided Diagnosis 2012: 831525 - [c31]Shandong Wu, Susan Weinstein, Despina Kontos:
Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI. MICCAI (2) 2012: 437-445 - [c30]Tatyana Nuzhnaya, Predrag R. Bakic
Segmentation of anatomical branching structures based on texture features and conditional random field. Image Processing 2012: 83141J - 2011
- [c29]Tatyana Nuzhnaya, Erkang Cheng, Haibin Ling, Despina Kontos, Predrag R. Bakic
Segmentation of anatomical branching structures based on texture features and graph cut. ISBI 2011: 673-676 - [c28]Dania Daye
Mammographic parenchymal texture as an imaging marker of hormonal activity: a comparative study between pre- and post-menopausal women. Computer-Aided Diagnosis 2011: 79631N - [c27]Diane Li, Sara Gavenonis, Emily F. Conant, Despina Kontos:
Comparison of breast percent density estimation from raw versus processed digital mammograms. Computer-Aided Diagnosis 2011: 79631X - [c26]Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. MICCAI (3) 2011: 546-553 - [c25]Brad M. Keller, Diane Nathan, Yan Wang, Yuanjie Zheng, James C. Gee, Emily F. Conant, Despina Kontos:
Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography. MICCAI (3) 2011: 562-569 - 2010
- [c24]Emily F. Conant, Diane Li, Sara Gavenonis, Predrag R. Bakic
A Comparative Study of the Inter-reader Variability of Breast Percent Density Estimation in Digital Mammography: Potential Effect of Reader's Training and Clinical Experience. Digital Mammography / IWDM 2010: 114-120 - [c23]Despina Kontos, Predrag R. Bakic
A Comparative Study of Volumetric and Area-Based Breast Density Estimation in Digital Mammography: Results from a Screening Population. Digital Mammography / IWDM 2010: 378-385 - [c22]Despina Kontos, Ye Xing, Predrag R. Bakic
A comparative study of volumetric breast density estimation in digital mammography and magnetic resonance imaging: results from a high-risk population. Computer-Aided Diagnosis 2010: 762409
2000 – 2009
- 2009
- [j7]Despina Kontos, Vasileios Megalooikonomou, James C. Gee:
Morphometric analysis of brain images with reduced number of statistical tests: A study on the gender-related differentiation of the corpus callosum. Artif. Intell. Medicine 47(1): 75-86 (2009) - [j6]Vasilis Megalooikonomou, Michael Barnathan, Despina Kontos, Predrag R. Bakic
A Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms. IEEE Trans. Medical Imaging 28(4): 487-493 (2009) - [c21]Despina Kontos, Rachelle Berger, Predrag R. Bakic
Breast tissue classification in digital breast tomosynthesis images using texture features: a feasibility study. Computer-Aided Diagnosis 2009: 726024 - 2008
- [j5]Vasileios Megalooikonomou, Despina Kontos, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic:
An adaptive partitioning approach for mining discriminant regions in 3D image data. J. Intell. Inf. Syst. 31(3): 217-242 (2008) - [c20]Michael Barnathan, Jingjing Zhang
Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging. Digital Mammography / IWDM 2008: 25-32 - [c19]Despina Kontos, Cuiping Zhang, Nicole V. Ruiter
Evaluating the Effect of Tomosynthesis Acquisition Parameters on Image Texture: A Study Based on an Anthropomorphic Breast Tissue Software Model. Digital Mammography / IWDM 2008: 491-498 - [c18]Predrag R. Bakic
Comparison of Breast Percent Density Estimated from Digital Mammograms and Central Reconstructed Tomosynthesis Slice Images. Digital Mammography / IWDM 2008: 674-680 - [c17]Despina Kontos, Predrag R. Bakic
Digital Breast Tomosynthesis Parenchymal Texture Analysis for Breast Cancer Risk Estimation: A Preliminary Study. Digital Mammography / IWDM 2008: 681-688 - [c16]Despina Kontos, Predrag R. Bakic
Texture in digital breast tomosynthesis: a comparison between mammographic and tomographic characterization of parenchymal properties. Computer-Aided Diagnosis 2008: 69150A - 2007
- [j4]Despina Kontos, Vasileios Megalooikonomou, Vasileios J. Sobel:
A statistical approach for selecting discriminative features of spatial regions of interest. Intell. Data Anal. 11(2): 111-135 (2007) - [c15]Despina Kontos, Predrag R. Bakic
Analysis of parenchymal texture properties in breast tomosynthesis images. Computer-Aided Diagnosis 2007: 651417 - [c14]Vasileios Megalooikonomou, Jingjing Zhang
Analysis of texture patterns in medical images with an application to breast imaging. Computer-Aided Diagnosis 2007: 651421 - [c13]Predrag R. Bakic
Analysis of percent density estimates from digital breast tomosynthesis projection images. Computer-Aided Diagnosis 2007: 651424 - 2006
- [j3]Despina Kontos, Qiang Wang, Vasileios Megalooikonomou, Alan H. Maurer, Linda C. Knight, Steve Kantor, Hrair P. Simonian, Henry P. Parkman:
A tool for handling uncertainty in segmenting regions of interest in medical images. Int. J. Intell. Syst. Technol. Appl. 1(3/4): 194-210 (2006) - [c12]Despina Kontos, Vasileios Megalooikonomou, Ailar Javadi, Predrag R. Bakic, Andrew D. A. Maidment:
Classification of galactograms using fractal properties of the breast ductal network. ISBI 2006: 1324-1327 - [c11]Predrag R. Bakic
Comparison of Methods for Classification of Breast Ductal Branching Patterns. Digital Mammography / IWDM 2006: 634-641 - [c10]Vasileios Megalooikonomou, Despina Kontos, Joseph Danglemaier, Ailar Javadi, Predrag R. Bakic
A representation and classification scheme for tree-like structures in medical images: an application on branching pattern analysis of ductal trees in x-ray galactograms. Image Processing 2006: 61441H - 2005
- [j2]Dragoljub Pokrajac, Vasileios Megalooikonomou, Aleksandar Lazarevic, Despina Kontos, Zoran Obradovic:
Applying spatial distribution analysis techniques to classification of 3D medical images. Artif. Intell. Medicine 33(3): 261-280 (2005) - [j1]Despina Kontos, Vasileios Megalooikonomou:
Fast and effective characterization for classification and similarity searches of 2D and 3D spatial region data. Pattern Recognit. 38(11): 1831-1846 (2005) - [c9]Despina Kontos, Vasileios Megalooikonomou, James C. Gee:
Reducing the Computational Cost for Statistical Medical Image Analysis: An MRI Study on the Sexual Morphological Differentiation of the Corpus Callosum. CBMS 2005: 282-287 - [c8]Vasileios Megalooikonomou, Despina Kontos, Nicholas DeClaris, Pedro Cano:
Utilizing Domain Knowledge in Developing Robust Neural Network Models for Peptide-Allele Binding Prediction. CIBCB 2005: 364-371 - [c7]Despina Kontos, Qiang Wang, Vasileios Megalooikonomou, Alan H. Maurer, Linda C. Knight, Steve Kantor, Robert S. Fisher, Hrair P. Simonian, Henry P. Parkman:
A 3D image analysis tool for SPECT imaging. Image-Guided Procedures 2005 - 2004
- [c6]Qiang Wang, Despina Kontos, Guo Li, Vasileios Megalooikonomou:
Application of time series techniques to data mining and analysis of spatial patterns in 3D images. ICASSP (3) 2004: 525-528 - [c5]Despina Kontos, Vasileios Megalooikonomou, Dragoljub Pokrajac, Aleksandar Lazarevic, Zoran Obradovic, Orest B. Boyko, James Ford, Fillia Makedon, Andrew J. Saykin:
Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease. MICCAI (2) 2004: 727-735 - [c4]Despina Kontos, Vasileios Megalooikonomou:
Fast and effective characterization of 3D region of interest in medical image data. Image Processing 2004 - [c3]Despina Kontos, Vasileios Megalooikonomou, Fillia Makedon:
Computationally Intelligent Methods for Mining 3D Medical Images. SETN 2004: 72-81 - [c2]Despina Kontos, Vasileios Megalooikonomou, Marc J. Sobel, Qiang Wang:
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data. SSPR/SPR 2004: 379-387 - 2002
- [c1]Vasileios Megalooikonomou, Haimonti Dutta, Despina Kontos:
Fast and effective characterization of 3D region data. ICIP (1) 2002: 421-424
Coauthor Index
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