Aimilia Gastounioti

24 papers B 1C 1Journal 9Unranked 13
YearRankTypeTitle / Venue / Authors
2024 J jnl
Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials.
Pattern Recognit.
Bruno Barufaldi, Jordy V. Gomes, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, Yuri Malheiros, Trevor Lewis Vent, Aimilia Gastounioti, Andrew D. A. Maidment
2023 J jnl
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models.
CoRR
Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi
2021 J jnl
Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.
Medical Image Anal.
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
2021 J jnl
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.
CoRR
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
2020 J jnl
Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment.
CoRR
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
2020 — conf
O-Net: An Overall Convolutional Network for Segmentation Tasks.
MLMI@MICCAI
Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Christos Davatzikos, Spyridon Bakas, Despina Kontos
2020 — conf
Robust radiomic feature selection in digital mammography: understanding the effect of imaging acquisition physics using phantom and clinical data analysis.
Computer-Aided Diagnosis
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
2019 — conf
Associations between mammographic phenotypes and histopathologic features in ductal carcinoma in situ.
Computer-Aided Diagnosis
Ruvini Navaratna, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Marie Shelanski, Emily F. Conant, Despina Kontos
2019 — conf
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.
BrainLes@MICCAI (2)
Sarthak Pati, Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo, Sung Min Ha, Dimitrios Bounias, James Minock, Grayson Murphy, Hongming Li, Amit Bhattarai, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas
2018 — conf
Validation of the textural realism of a 3D anthropomorphic phantom for digital breast tomosynthesis.
IWBI
Raymond Joseph Acciavatti, Meng-Kang Hsieh, Aimilia Gastounioti, Yifan Hu, Jinbo Chen, Andrew D. A. Maidment, Despina Kontos
2018 B conf
Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort.
Image Processing
Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos
2017 — conf
Convolutional neural network approach for enhanced capture of breast parenchymal complexity patterns associated with breast cancer risk.
Computer-Aided Diagnosis
Andrew Oustimov, Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos
2017 — conf
Mammographic phenotypes of breast cancer risk driven by breast anatomy.
Computer-Aided Diagnosis
Aimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos
2016 — conf
Parenchymal texture measures weighted by breast anatomy: preliminary optimization in a case-control study.
Computer-Aided Diagnosis
Aimilia Gastounioti, Brad M. Keller, Meng-Kang Hsieh, Emily F. Conant, Despina Kontos
2016 — conf
Preliminary evaluation of a fully automated quantitative framework for characterizing general breast tissue histology via color histogram and color texture analysis.
Digital Pathology
Brad M. Keller, Aimilia Gastounioti, Rebecca C. Batiste, Despina Kontos, Michael D. Feldman
2015 J jnl
A Novel Computerized Tool to Stratify Risk in Carotid Atherosclerosis Using Kinematic Features of the Arterial Wall.
IEEE J. Biomed. Health Informatics
Aimilia Gastounioti, Stavros Makrodimitris, Spyretta Golemati, Nikolaos P. E. Kadoglou, Christos D. Liapis, Konstantina S. Nikita
2015 — conf
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences.
MICCAI (3)
Aimilia Gastounioti, Aristeidis Sotiras, Konstantina S. Nikita, Nikos Paragios
2015 — conf
Using ultrasound image analysis to evaluate the role of elastography imaging in the diagnosis of carotid atherosclerosis.
EMBC
Monika-Filitsa S. Xenikou, Spyretta Golemati, Aimilia Gastounioti, Marianna Tzortzi, Nektarios Moraitis, Georgios Charalampopulos, Nicolaos Liasis, Athanasios Dedes, Nicolaos Besias, Konstantina S. Nikita
2014 — conf
Bilateral asymmetry in ultrasound-image-based mechanical and textural features in subjects with asymptomatic carotid artery disease.
BHI
Spyretta Golemati, Aimilia Gastounioti, Nikolaos N. Tsiaparas, Konstantina S. Nikita
2014 J jnl
CAROTID - A web-based platform for optimal personalized management of atherosclerotic patients.
Comput. Methods Programs Biomed.
Aimilia Gastounioti, Vasileios D. Kolias, Spyretta Golemati, Nikolaos N. Tsiaparas, Aikaterini I. Matsakou, John S. Stoitsis, Nikolaos P. E. Kadoglou, Christos Gkekas, John D. Kakisis, Christos D. Liapis, Petros Karakitsos, Ioannis A. Sarafis, Pantelis Angelidis, Konstantina S. Nikita
2013 C conf
Multiscale motion analysis of the carotid artery wall from B-mode ultrasound: Investigating the optimal wavelet parameterization.
BIBE
Nikolaos N. Tsiaparas, Aimilia Gastounioti, Spyretta Golemati, Konstantina S. Nikita
2013 J jnl
Toward Novel Noninvasive and Low-Cost Markers for Predicting Strokes in Asymptomatic Carotid Atherosclerosis: The Role of Ultrasound Image Analysis.
IEEE Trans. Biomed. Eng.
Spyretta Golemati, Aimilia Gastounioti, Konstantina S. Nikita
2012 J jnl
Comparison of Block Matching and Differential Methods for Motion Analysis of the Carotid Artery Wall From Ultrasound Images.
IEEE Trans. Inf. Technol. Biomed.
Spyretta Golemati, John S. Stoitsis, Aimilia Gastounioti, Alexandros C. Dimopoulos, Vassiliki Koropouli, Konstantina S. Nikita
2011 — conf
Affine optical flow combined with multiscale image analysis for motion estimation of the arterial wall from B-mode ultrasound.
EMBC
Aimilia Gastounioti, Nikolaos N. Tsiaparas, Spyretta Golemati, John S. Stoitsis, Konstantina S. Nikita