Despina Kontos
Orcid: 0000-0001-9031-5126
According to our database1,
Despina Kontos
authored at least 87 papers
between 2002 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
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.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Radiomics analysis to diagnose tumor invasiveness of pulmonary sub-solid nodules from longitudinal pre-surgical CT scans.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
Quantitative CT texture-based method to predict diagnosis and prognosis of fibrosing interstitial lung disease patterns.
CoRR, 2022
Resampling and harmonization for mitigation of heterogeneity in imaging parameters: a comparative study.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
A comparison of feature selection methods for the development of a prognostic radiogenomic biomarker in non-small cell lung cancer patients.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.
Medical Image Anal., 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.
CoRR, 2021
Development of a radiogenomic biomarker for tumor characterization and prognosis in non-small cell lung cancer patients.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Radiomic features predict local failure-free survival in stage III NSCLC adenocarcinoma treated with chemoradiation.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Intrinsic radiomics phenotypes of DCI from breast DCE-MRI: demonstrating feasibility in interim analysis of the ECOG-ACRIN E4112 trial.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.
CoRR, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Assessment of CT image reconstruction parameters on radiomic features in a lung cancer screening cohort: the PROSPR study.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
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., 2019
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
The National Cancer Institute's Informatics Technology for Cancer Research Program: Building a Community of Practice in Cancer Informatics.
Proceedings of the AMIA 2019, 2019
2018
Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort.
Proceedings of the Medical Imaging 2018: Image Processing, 2018
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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Validation of the textural realism of a 3D anthropomorphic phantom for digital breast tomosynthesis.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
Three-dimensional whole breast segmentation in sagittal MR images with dense depth field modeling and localized self-adaptation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Parameter optimization of parenchymal texture analysis for prediction of false-positive recalls from screening mammography.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control study.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
2015
Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk.
IEEE Trans. Biomed. Eng., 2015
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Application of computer-extracted breast tissue texture features in predicting false-positive recalls from screening mammography.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Breast density and parenchymal texture measures as potential risk factors for estrogen-receptor positive breast cancer.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
Correlation between Topological Descriptors of the Breast Ductal Network from Clinical Galactograms and Texture Features of Corresponding Mammograms.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2013
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, 2013
Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Texture feature standardization in digital mammography for improving generalizability across devices.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Segmentation of anatomical branching structures based on texture features and conditional random field.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Fully automated chest wall line segmentation in breast MRI by using context information.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
Predicting axillary lymph node metastasis from kinetic statistics of DCE-MRI breast images.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, 2012
Proceedings of the Breast Imaging, 2012
A Phantom Study for Assessing the Effect of Different Digital Detectors on Mammographic Texture Features.
Proceedings of the Breast Imaging, 2012
Proceedings of the Breast Imaging, 2012
Mammographic Parenchymal Texture Analysis for Estrogen-Receptor Subtype Specific Breast Cancer Risk Estimation.
Proceedings of the Breast Imaging, 2012
Automatic segmentation of breast carcinomas from DCE-MRI using a Statistical Learning Algorithm.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Comparison of breast percent density estimation from raw versus processed digital mammograms.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Mammographic parenchymal texture as an imaging marker of hormonal activity: a comparative study between pre- and post-menopausal women.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Segmentation of anatomical branching structures based on texture features and graph cut.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
A comparative study of volumetric breast density estimation in digital mammography and magnetic resonance imaging: results from a high-risk population.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010
A Comparative Study of Volumetric and Area-Based Breast Density Estimation in Digital Mammography: Results from a Screening Population.
Proceedings of the Digital Mammography, 2010
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.
Proceedings of the Digital Mammography, 2010
2009
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, 2009
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, 2009
Breast tissue classification in digital breast tomosynthesis images using texture features: a feasibility study.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
J. Intell. Inf. Syst., 2008
Texture in digital breast tomosynthesis: a comparison between mammographic and tomographic characterization of parenchymal properties.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008
Evaluating the Effect of Tomosynthesis Acquisition Parameters on Image Texture: A Study Based on an Anthropomorphic Breast Tissue Software Model.
Proceedings of the Digital Mammography, 2008
Digital Breast Tomosynthesis Parenchymal Texture Analysis for Breast Cancer Risk Estimation: A Preliminary Study.
Proceedings of the Digital Mammography, 2008
Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging.
Proceedings of the Digital Mammography, 2008
Comparison of Breast Percent Density Estimated from Digital Mammograms and Central Reconstructed Tomosynthesis Slice Images.
Proceedings of the Digital Mammography, 2008
2007
A statistical approach for selecting discriminative features of spatial regions of interest.
Intell. Data Anal., 2007
Analysis of texture patterns in medical images with an application to breast imaging.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
Analysis of percent density estimates from digital breast tomosynthesis projection images.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
2006
Int. J. Intell. Syst. Technol. Appl., 2006
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.
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Digital Mammography, 2006
Classification of galactograms using fractal properties of the breast ductal network.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2005
Fast and effective characterization for classification and similarity searches of 2D and 3D spatial region data.
Pattern Recognit., 2005
Applying spatial distribution analysis techniques to classification of 3D medical images.
Artif. Intell. Medicine, 2005
Proceedings of the Medical Imaging 2005: Visualization, 2005
Utilizing Domain Knowledge in Developing Robust Neural Network Models for Peptide-Allele Binding Prediction.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
Reducing the Computational Cost for Statistical Medical Image Analysis: An MRI Study on the Sexual Morphological Differentiation of the Corpus Callosum.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005
2004
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data.
Proceedings of the Structural, 2004
Proceedings of the Methods and Applications of Artificial Intelligence, 2004
Proceedings of the Medical Imaging 2004: Image Processing, 2004
Extraction of Discriminative Functional MRI Activation Patterns and an Application to Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Application of time series techniques to data mining and analysis of spatial patterns in 3D images.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2002
Proceedings of the 2002 International Conference on Image Processing, 2002