Search Results - "Mougiakakou, Stavroula G"

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  1. 1

    Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes by Daskalaki, Elena, Diem, Peter, Mougiakakou, Stavroula G

    Published in PloS one (21-07-2016)
    “…Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be…”
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    Journal Article
  2. 2

    Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP) by Ebner, Lukas, Christodoulidis, Stergios, Stathopoulou, Thomai, Geiser, Thomas, Stalder, Odile, Limacher, Andreas, Heverhagen, Johannes T, Mougiakakou, Stavroula G, Christe, Andreas

    Published in PloS one (01-01-2020)
    “…To conduct a meta-analysis to determine specific computed tomography (CT) patterns and clinical features that discriminate between nonspecific interstitial…”
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    Journal Article
  3. 3

    Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patients by Daskalaki, Elena, Prountzou, Aikaterini, Diem, Peter, Mougiakakou, Stavroula G

    Published in Diabetes technology & therapeutics (01-02-2012)
    “…Prediction of glycemic profile is an important task for both early recognition of hypoglycemia and enhancement of the control algorithms for optimization of…”
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    Journal Article
  4. 4

    A multifactorial analysis of obesity as CVD risk factor: use of neural network based methods in a nutrigenetics context by Valavanis, Ioannis K, Mougiakakou, Stavroula G, Grimaldi, Keith A, Nikita, Konstantina S

    Published in BMC bioinformatics (08-09-2010)
    “…Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the…”
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  5. 5

    A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model by Anthimopoulos, Marios M., Gianola, Lauro, Scarnato, Luca, Diem, Peter, Mougiakakou, Stavroula G.

    “…Computer vision-based food recognition could be used to estimate a meal's carbohydrate content for diabetic patients. This study proposes a methodology for…”
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  6. 6

    Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images by Christe, Andreas, Peters, Alan A, Drakopoulos, Dionysios, Heverhagen, Johannes T, Geiser, Thomas, Stathopoulou, Thomai, Christodoulidis, Stergios, Anthimopoulos, Marios, Mougiakakou, Stavroula G, Ebner, Lukas

    Published in Investigative radiology (01-10-2019)
    “…OBJECTIVESThe objective of this study is to assess the performance of a computer-aided diagnosis (CAD) system (INTACT system) for the automatic classification…”
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  7. 7

    Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers by Mougiakakou, Stavroula G, Valavanis, Ioannis K, Nikita, Alexandra, Nikita, Konstantina S

    Published in Artificial intelligence in medicine (01-09-2007)
    “…Summary Objectives The aim of the present study is to define an optimally performing computer-aided diagnosis (CAD) architecture for the classification of…”
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  8. 8

    A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning by Sun, Qingnan, Jankovic, Marko V., Budzinski, Joao, Moore, Brett, Diem, Peter, Stettler, Christoph, Mougiakakou, Stavroula G.

    “…Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose…”
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  9. 9

    An Actor–Critic based controller for glucose regulation in type 1 diabetes by Daskalaki, Elena, Diem, Peter, Mougiakakou, Stavroula G

    “…Abstract A novel adaptive approach for glucose control in individuals with type 1 diabetes under sensor-augmented pump therapy is proposed. The controller, is…”
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    An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control by Zarkogianni, Konstantia, Vazeou, Andriani, Mougiakakou, Stavroula G., Prountzou, Aikaterini, Nikita, Konstantina S.

    “…This paper aims at the development and evaluation of a personalized insulin infusion advisory system (IIAS), able to provide real-time estimations of the…”
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    A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier by Gletsos, M., Mougiakakou, S.G., Matsopoulos, G.K., Nikita, K.S., Nikita, A.S., Kelekis, D.

    “…In this paper, a computer-aided diagnostic (CAD) system for the classification of hepatic lesions from computed tomography (CT) images is presented. Regions of…”
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  16. 16

    Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy by Sun, Qingnan, Jankovic, Marko V., Mougiakakou, Stavroula G.

    “…The existing adaptive basal-bolus advisor (ABBA) was further developed to benefit patients under insulin therapy with multiple daily injections (MDI). Three…”
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    Conference Proceeding Journal Article
  17. 17

    An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients by Lu, Ya, Stathopoulou, Thomai, Vasiloglou, Maria F., Christodoulidis, Stergios, Blum, Beat, Walser, Thomas, Meier, Vinzenz, Stanga, Zeno, Mougiakakou, Stavroula G.

    “…Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM). Although several…”
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    Conference Proceeding Journal Article
  18. 18

    Personalized tuning of a reinforcement learning control algorithm for glucose regulation by Daskalaki, Elena, Diem, Peter, Mougiakakou, Stavroula G.

    “…Artificial pancreas is in the forefront of research towards the automatic insulin infusion for patients with type 1 diabetes. Due to the high inter- and…”
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    Conference Proceeding Journal Article
  19. 19

    Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic events by Botwey, Ransford Henry, Daskalaki, Elena, Diem, Peter, Mougiakakou, Stavroula G.

    “…Correct predictions of future blood glucose levels in individuals with Type 1 Diabetes (T1D) can be used to provide early warning of upcoming…”
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    Conference Proceeding Journal Article
  20. 20

    SCAPEVIEWER: preliminary results of a landscape perception classification system based on neural network technology by Mougiakakou, Stavroula G., Tsouchlaraki, Androniki L., Cassios, Constantinos, Nikita, Konstantina S., Matsopoulos, George K., Uzunoglu, Nikolaos K.

    Published in Ecological engineering (01-01-2005)
    “…In this paper, the implementation of a pilot computerized system for the classification of landscape images (SCAPEVIEWER) is presented. A total of 108…”
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    Journal Article