| 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 | 216 | 2018 |
| 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 | 158 | 2016 |
| 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 | 94 | 2012 |
| 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 | 87 | 2014 |
| 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 | 81 | 2019 |
| 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 | 80 | 2020 |
| 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, 2020 | 76 | 2020 |
| 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 | 76 | 2020 |
| 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 | 73 | 2022 |
| 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 | 71 | 2013 |
| 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 | 60 | 2011 |
| 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 | 55 | 2023 |
| 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 | 55 | 2015 |
| 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 | 52 | 2022 |
| 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 | 52 | 2013 |
| 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 | 48 | 2021 |
| 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 | 42 | 2019 |
| 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 | 39 | 2019 |
| 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 | 38 | 2014 |
| 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 | 37 | 2018 |
Despina KontosProfessor of Radiology, Vice-Chair of AI and Data Science Research, Columbia RadiologyVerified email at cumc.columbia.edu
