Zobrazeno 1 - 10
of 418
pro vyhledávání: '"D, Apostolopoulos"'
Autor:
A. Quinlivan, D. Neuen, D. Hansen, W. Stevens, L. Ross, N. Ferdowsi, S. M. Proudman, J. G. Walker, J. Sahhar, G-S. Ngian, D. Apostolopoulos, L. V. Host, G. Major, C. Basnayake, K. Morrisroe, M. Nikpour
Publikováno v:
Arthritis Research & Therapy, Vol 26, Iss 1, Pp 1-8 (2024)
Abstract Background To determine the relationship between gastroesophageal reflux disease (GORD) and its treatment and interstitial lung disease in patients with systemic sclerosis (SSc). Methods SSc patients from the Australian Scleroderma Cohort St
Externí odkaz:
https://doaj.org/article/9b3157335fc64c0da7e5cc0c2bfdda25
Autor:
Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Dimitrios J. Apostolopoulos, Elpiniki Papageorgiou
Publikováno v:
Bioengineering, Vol 11, Iss 10, p 957 (2024)
Coronary artery disease (CAD) presents a significant global health burden, with early and accurate diagnostics crucial for effective management and treatment strategies. This study evaluates the efficacy of human evaluators compared to a Random Fores
Externí odkaz:
https://doaj.org/article/bf8ad99130dc4d82b6460dfe829f367a
Publikováno v:
AI, Vol 4, Iss 4, Pp 812-830 (2023)
Fruit quality is a critical factor in the produce industry, affecting producers, distributors, consumers, and the economy. High-quality fruits are more appealing, nutritious, and safe, boosting consumer satisfaction and revenue for producers. Artific
Externí odkaz:
https://doaj.org/article/d09dd9a4905548f2b42236c804024d40
Autor:
Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos Papandrianos, Elpiniki I. Papageorgiou
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 8, p 85 (2024)
This study explores a multi-modal machine-learning-based approach to classify solitary pulmonary nodules (SPNs). Non-small cell lung cancer (NSCLC), presenting primarily as SPNs, is the leading cause of cancer-related deaths worldwide. Early detectio
Externí odkaz:
https://doaj.org/article/f092ac60836446f8b8a8d598491ec4d7
Autor:
Ioannis D. Apostolopoulos, Silas Androulakis, Panayiotis Kalkavouras, George Fouskas, Spyros N. Pandis
Publikováno v:
Sensors, Vol 24, Iss 13, p 4110 (2024)
This paper addresses the challenges of calibrating low-cost electrochemical sensor systems for air quality monitoring. The proliferation of pollutants in the atmosphere necessitates efficient monitoring systems, and low-cost sensors offer a promising
Externí odkaz:
https://doaj.org/article/0a148d9be9e144e8a8d5b673199bb29b
Autor:
Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos Papandrianos, Elpiniki I. Papageorgiou
Publikováno v:
Diseases, Vol 12, Iss 6, p 115 (2024)
The study investigates the efficiency of integrating Machine Learning (ML) in clinical practice for diagnosing solitary pulmonary nodules’ (SPN) malignancy. Patient data had been recorded in the Department of Nuclear Medicine, University Hospital o
Externí odkaz:
https://doaj.org/article/70438bec41ba4f29b58b4d3b3ec1b674
Autor:
Agorastos-Dimitrios Samaras, Serafeim Moustakidis, Ioannis D. Apostolopoulos, Nikolaos Papandrianos, Elpiniki Papageorgiou
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract The main goal driving this work is to develop computer-aided classification models relying on clinical data to identify coronary artery disease (CAD) instances with high accuracy while incorporating the expert’s opinion as input, making it
Externí odkaz:
https://doaj.org/article/dc2749c799664e118e7e5e3d14fe0ec6
Autor:
Ioannis D. Apostolopoulos, Nikolaos I. Papandrianos, Anna Feleki, Serafeim Moustakidis, Elpiniki I. Papageorgiou
Publikováno v:
EJNMMI Physics, Vol 10, Iss 1, Pp 1-43 (2023)
Abstract Deep learning (DL) has a growing popularity and is a well-established method of artificial intelligence for data processing, especially for images and videos. Its applications in nuclear medicine are broad and include, among others, disease
Externí odkaz:
https://doaj.org/article/5f69798b28284474a2bc8305a1b9b95e
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 4, Iss 4, Pp 1124-1135 (2022)
Climate change is expected to increase fire events and activity with multiple impacts on human lives. Large grids of forest and city monitoring devices can assist in incident detection, accelerating human intervention in extinguishing fires before th
Externí odkaz:
https://doaj.org/article/930f90c22c2442d7b212e0c0ce123d7e
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