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Aimilia Gastounioti
Aimilia Gastounioti
Washington University School of Medicine
Подтвержден адрес электронной почты в домене wustl.edu - Главная страница
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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), 011018-011018, 2018
1772018
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, 1-12, 2016
1522016
Comparison of block matching and differential methods for motion analysis of the carotid artery wall from ultrasound images
S Golemati, JS Stoitsis, A Gastounioti, AC Dimopoulos, V Koropouli, ...
IEEE Transactions on Information Technology in Biomedicine 16 (5), 852-858, 2012
922012
The relationship of novel adipokines, RBP4 and omentin-1, with carotid atherosclerosis severity and vulnerability
NPE Kadoglou, V Lambadiari, A Gastounioti, C Gkekas, ...
Atherosclerosis 235 (2), 606-612, 2014
852014
Standardization in quantitative imaging: a multicenter comparison of radiomic features from different software packages on digital reference objects and patient data sets
M McNitt-Gray, S Napel, A Jaggi, SA Mattonen, L Hadjiiski, M Muzi, ...
Tomography 6 (2), 118-128, 2020
732020
Radiomic phenotypes of mammographic parenchymal complexity: toward augmenting breast density in breast cancer risk assessment
D Kontos, SJ Winham, A Oustimov, L Pantalone, MK Hsieh, A Gastounioti, ...
Radiology 290 (1), 41-49, 2019
732019
Toward novel noninvasive and low-cost markers for predicting strokes in asymptomatic carotid atherosclerosis: the role of ultrasound image analysis
S Golemati, A Gastounioti, KS Nikita
IEEE Transactions on Biomedical Engineering 60 (3), 652-658, 2013
692013
The cancer imaging phenomics toolkit (CaPTk): technical overview
S Pati, A Singh, S Rathore, A Gastounioti, M Bergman, P Ngo, SM Ha, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
642020
Imaging phenotypes of breast cancer heterogeneity in preoperative breast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) scans predict 10-year recurrence
RD Chitalia, J Rowland, ES McDonald, L Pantalone, EA Cohen, ...
Clinical Cancer Research 26 (4), 862-869, 2020
582020
Comparison of Kalman-filter-based approaches for block matching in arterial wall motion analysis from B-mode ultrasound
A Gastounioti, S Golemati, J Stoitsis, KS Nikita
Measurement Science and Technology 22 (11), 114008, 2011
562011
Galectin-3, carotid plaque vulnerability, and potential effects of statin therapy
NPE Kadoglou, GS Sfyroeras, A Spathis, C Gkekas, A Gastounioti, ...
European Journal of Vascular and Endovascular Surgery 49 (1), 4-9, 2015
542015
Carotid artery wall motion analysis from B-mode ultrasound using adaptive block matching: in silico evaluation and in vivo application
A Gastounioti, S Golemati, JS Stoitsis, KS Nikita
Physics in Medicine & Biology 58 (24), 8647, 2013
522013
Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review
A Gastounioti, S Desai, VS Ahluwalia, EF Conant, D Kontos
Breast Cancer Research 24 (1), 14, 2022
492022
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ...
Communications Engineering 2 (1), 23, 2023
402023
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment
OH Maghsoudi, A Gastounioti, C Scott, L Pantalone, FF Wu, EA Cohen, ...
Medical image analysis 73, 102138, 2021
392021
A novel computerized tool to stratify risk in carotid atherosclerosis using kinematic features of the arterial wall
A Gastounioti, S Makrodimitris, S Golemati, NPE Kadoglou, CD Liapis, ...
IEEE journal of biomedical and health informatics 19 (3), 1137-1145, 2014
372014
Using convolutional neural networks for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk
A Gastounioti, A Oustimov, MK Hsieh, L Pantalone, EF Conant, D Kontos
Academic radiology 25 (8), 977-984, 2018
362018
Precision diagnostics based on machine learning-derived imaging signatures
C Davatzikos, A Sotiras, Y Fan, M Habes, G Erus, S Rathore, S Bakas, ...
Magnetic resonance imaging 64, 49-61, 2019
352019
Artificial Intelligence (AI) for Screening Mammography, From the AJR Special Series on AI Applications
LR Lamb, CD Lehman, A Gastounioti, EF Conant, M Bahl
American Journal of Roentgenology 219 (3), 369-380, 2022
342022
Effect of mammographic screening modality on breast density assessment: digital mammography versus digital breast tomosynthesis
A Gastounioti, AM McCarthy, L Pantalone, M Synnestvedt, D Kontos, ...
Radiology 291 (2), 320-327, 2019
342019
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