Zobrazeno 81 - 90
of 7 155
pro vyhledávání: '"Apostolopoulos, A"'
Publikováno v:
Journal of Medical and Biological Engineering; 40:462-69;2020
In this study, the problem of automatically classifying pulmonary diseases, including the recently emerged COVID-19, from X-Ray images, is considered. While the spread of COVID-19 is increased, new, automatic, and reliable methods for accurate detect
Externí odkaz:
http://arxiv.org/abs/2004.00338
Autor:
Apostolopoulos, Ioannis D.
Publikováno v:
International Journal of Engineering Applied Sciences and Technology. 4(2020) 431-434
In this work, we employ the Synthetic Minority Oversampling Technique (SMOTE) to generate instances of the minority class of an imbalanced Coronary Artery Disease dataset. We firstly analyze the public dataset Z -- Alizadeh Sani, a dataset used for n
Externí odkaz:
http://arxiv.org/abs/2004.04101
Publikováno v:
Physical and Engineering Sciences in Medicine 43:635-40;2020
In this study, a dataset of X-Ray images from patients with common pneumonia, Covid-19, and normal incidents was utilized for the automatic detection of the Coronavirus. The aim of the study is to evaluate the performance of state-of-the-art Convolut
Externí odkaz:
http://arxiv.org/abs/2003.11617
Autor:
Apostolopoulos, Ioannis D.
Lung Cancer is the most common cause of cancer-related death worldwide. Early and automatic diagnosis of Solitary Pulmonary Nodules (SPN) in Computer Tomography (CT) chest scans can provide early treatment as well as doctor liberation from time-consu
Externí odkaz:
http://arxiv.org/abs/2003.06801
Autor:
Marten Düring, Matteo Romanello, Maud Ehrmann, Kaspar Beelen, Daniele Guido, Brecht Deseure, Estelle Bunout, Jana Keck, Petros Apostolopoulos
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Text Reuse reveals meaningful reiterations of text in large corpora. Humanities researchers use text reuse to study, e.g., the posterior reception of influential texts or to reveal evolving publication practices of historical media. This research is
Externí odkaz:
https://doaj.org/article/57e28ee57e664649b5c16e1c86c99c2b
Autor:
Cara A. Timpani, Stephanie Kourakis, Danielle A. Debruin, Dean G. Campelj, Nancy Pompeani, Narges Dargahi, Angelo P. Bautista, Ryan M. Bagaric, Elya J. Ritenis, Lauren Sahakian, Didier Debrincat, Nicole Stupka, Patricia Hafner, Peter G. Arthur, Jessica R. Terrill, Vasso Apostolopoulos, Judy B. de Haan, Nuri Guven, Dirk Fischer, Emma Rybalka
Publikováno v:
JCI Insight, Vol 8, Iss 21 (2023)
New medicines are urgently required to treat the fatal neuromuscular disease Duchenne muscular dystrophy (DMD). Dimethyl fumarate (DMF) is a potent immunomodulatory small molecule nuclear erythroid 2-related factor 2 activator with current clinical u
Externí odkaz:
https://doaj.org/article/2f67a5d7f78e4aa7850dc5cf476bf2a1
Autor:
Emara, Salma, Fong, Silas L., Li, Baochun, Khisti, Ashish, Tan, Wai-Tian, Zhu, Xiaoqing, Apostolopoulos, John
We introduce a novel network-adaptive algorithm that is suitable for alleviating network packet losses for low-latency interactive communications between a source and a destination. Our network-adaptive algorithm estimates in real-time the best param
Externí odkaz:
http://arxiv.org/abs/1909.06709
Autor:
Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Dimitris J. Apostolopoulos
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 4, Iss 4, Pp 814-826 (2022)
Background: Recent advances in Artificial Intelligence (AI) algorithms, and specifically Deep Learning (DL) methods, demonstrate substantial performance in detecting and classifying medical images. Recent clinical studies have reported novel optical
Externí odkaz:
https://doaj.org/article/8be41d6be997493cb2059bb2620fccee
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