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Aimilia Gastounioti
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2020 – today
- 2024
- [j6]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:
Assessment of volumetric dense tissue segmentation in tomosynthesis using deep virtual clinical trials. Pattern Recognit. 153: 110494 (2024) - 2023
- [i3]Linglin Zhang, Beatrice Brown-Mulry, Vineela Nalla, InChan Hwang, Judy Wawira Gichoya, Aimilia Gastounioti, Imon Banerjee, Laleh Seyyed-Kalantari, Minjae Woo, Hari Trivedi:
Performance Gaps of Artificial Intelligence Models Screening Mammography - Towards Fair and Interpretable Models. CoRR abs/2305.04422 (2023) - 2021
- [j5]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) - [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
- [c15]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. Medical Imaging: Computer-Aided Diagnosis 2020 - [c14]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
- [c13]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:
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) 2019: 380-394 - [c12]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. Medical Imaging: Computer-Aided Diagnosis 2019: 109502K - 2018
- [c11]Raymond Joseph Acciavatti, Meng-Kang Hsieh, Aimilia Gastounioti, Yifan Hu, Jinbo Chen, Andrew D. A. Maidment, Despina Kontos:
Validation of the textural realism of a 3D anthropomorphic phantom for digital breast tomosynthesis. IWBI 2018: 107180R - [c10]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. Medical Imaging: Image Processing 2018: 105742H - 2017
- [c9]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. Medical Imaging: Computer-Aided Diagnosis 2017: 101340S - [c8]Aimilia Gastounioti, Andrew Oustimov, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Mammographic phenotypes of breast cancer risk driven by breast anatomy. Medical Imaging: Computer-Aided Diagnosis 2017: 1013417 - 2016
- [c7]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. Medical Imaging: Computer-Aided Diagnosis 2016: 97850M - [c6]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. Medical Imaging: Digital Pathology 2016: 97910A - 2015
- [j4]Aimilia Gastounioti, Stavros Makrodimitris, Spyretta Golemati, Nikolaos P. E. Kadoglou, Christos D. Liapis, Konstantina S. Nikita:
A Novel Computerized Tool to Stratify Risk in Carotid Atherosclerosis Using Kinematic Features of the Arterial Wall. IEEE J. Biomed. Health Informatics 19(3): 1137-1145 (2015) - [c5]Monika-Filitsa S. Xenikou, Spyretta Golemati, Aimilia Gastounioti, Marianna Tzortzi, Nektarios Moraitis, Georgios Charalampopulos, Nicolaos Liasis, Athanasios Dedes, Nicolaos Besias, Konstantina S. Nikita:
Using ultrasound image analysis to evaluate the role of elastography imaging in the diagnosis of carotid atherosclerosis. EMBC 2015: 6313-6316 - [c4]Aimilia Gastounioti, Aristeidis Sotiras, Konstantina S. Nikita, Nikos Paragios:
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences. MICCAI (3) 2015: 551-559 - 2014
- [j3]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:
CAROTID - A web-based platform for optimal personalized management of atherosclerotic patients. Comput. Methods Programs Biomed. 114(2): 183-193 (2014) - [c3]Spyretta Golemati, Aimilia Gastounioti, Nikolaos N. Tsiaparas, Konstantina S. Nikita:
Bilateral asymmetry in ultrasound-image-based mechanical and textural features in subjects with asymptomatic carotid artery disease. BHI 2014: 680-683 - 2013
- [j2]Spyretta Golemati, Aimilia Gastounioti, Konstantina S. Nikita:
Toward Novel Noninvasive and Low-Cost Markers for Predicting Strokes in Asymptomatic Carotid Atherosclerosis: The Role of Ultrasound Image Analysis. IEEE Trans. Biomed. Eng. 60(3): 652-658 (2013) - [c2]Nikolaos N. Tsiaparas, Aimilia Gastounioti, Spyretta Golemati, Konstantina S. Nikita:
Multiscale motion analysis of the carotid artery wall from B-mode ultrasound: Investigating the optimal wavelet parameterization. BIBE 2013: 1-4 - 2012
- [j1]Spyretta Golemati, John S. Stoitsis, Aimilia Gastounioti, Alexandros C. Dimopoulos, Vassiliki Koropouli, Konstantina S. Nikita:
Comparison of Block Matching and Differential Methods for Motion Analysis of the Carotid Artery Wall From Ultrasound Images. IEEE Trans. Inf. Technol. Biomed. 16(5): 852-858 (2012) - 2011
- [c1]Aimilia Gastounioti, Nikolaos N. Tsiaparas, Spyretta Golemati, John S. Stoitsis, Konstantina S. Nikita:
Affine optical flow combined with multiscale image analysis for motion estimation of the arterial wall from B-mode ultrasound. EMBC 2011: 559-562
Coauthor Index
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