Πλοήγηση ανά Συγγραφέα "Maglogiannis, I."
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Advanced block detection and quantification of fibrotic areas in microscopy images of obstructive nephropathy
Goudas, T.; Maglogiannis, I.; Chatziioannou, A. (2012)Obstructive nephropathy is not a rare disease and experts need a tool, which will provide them fast and accurate reproducible results for disease assessment. In this work we deal with the analysis of biopsy images for the ... -
Advanced cancer cell characterization and quantification of microscopy images
Goudas, T.; Maglogiannis, I. (2012)In this paper we present an advanced image analysis tool for the accurate characterization and quantification of cancer and apoptotic cells in microscopy images. Adaptive thresholding and Support Vector Machines classifiers ... -
Advanced characterization of microscopic Kidney biopsies utilizing image analysis techniques
Goudas, T.; Doukas, C.; Chatziioannou, A.; Maglogiannis, I. (2012)Correct annotation and identification of salient regions in Kidney biopsy images can provide an estimation of pathogenesis in obstructive nephropathy. This paper presents a tool for the automatic or manual segmentation of ... -
ADVANCED CLASSIFICATION AND RULES-BASED EVALUATION OF MOTION, VISUAL AND BIOSIGNAL DATA FOR PATIENT FALL INCIDENT DETECTION
Doukas, C.; Maglogiannis, I. (2010)The monitoring of human physiological data, in both normal and abnormal situations of activity, is interesting for the purpose of emergency event detection, especially in the case of elderly people living on their own. ... -
Advanced ROI coding techniques for medical imaging
Doukas, C.; Maglogiannis, I. (2009)Medical images are often characterized by high complexity and consist of high resolution image files, introducing thus several issues regarding their handling. Current compression schemes produce high compression rates, ... -
Analysis of pediatric Obstructive Nephropathy using protein antibody arrays and computational techniques
Valavanis, I.; Caubet, C.; Maglogiannis, I.; Klein, J.; Schanstra, J.; Chatziioannou, A. (2010)Obstructive Nephropathy (ON) is a renal disease quite frequent in newborns and children. Although it is caused by the improper flow of urine, the nephron destruction can be magnified by various molecular processes. In the ... -
Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images
Georgakopoulos, S. V.; Tasoulis, S. K.; Plagianakos, V. P.; Maglogiannis, I. (2013)In this study we present a computer assisted image identification and recognition tool that aims to help the diagnosis of idiopathic pulmonary fibrosis in microscopy images. To this end, we use principal components analysis ... -
An assistive environment for improving human safety utilizing advanced sound and motion data classification
Doukas, C.; Maglogiannis, I. (2011)This paper presents the concept and an initial implementation of an assistive awareness system that may be used for human activity interpretation and emergency recognition in cases such as elder or patient falls and distress ... -
Assistive environments for the disabled and the senior citizens: theme issue of PETRA 2010 and 2011 conferences
Maglogiannis, I.; Betke, M.; Pantziou, G.; Makedon, F. (2014) -
Automated skin lesion assessment using mobile technologies and cloud platforms
Doukas, C.; Stagkopoulos, P.; Kiranoudis, C. T.; Maglogiannis, I. (2012)This paper presents a smart phone based system for storing digital images of skin areas depicting regions of interest (lesions) and performing self-assessment of these skin lesions within these areas. The system consists ... -
Automated sleep breath disorders detection utilizing patient sound analysis
Doukas, C.; Petsatodis, T.; Boukis, C.; Maglogiannis, I. (2012)Results of clinical studies suggest that there is a relationship between breathing-related sleep disorders and behavioral disorder and health effects. Apnea is considered one of the major sleep disorders with great accession ... -
Autoregressive energy-efficient context forwarding in wireless sensor networks for pervasive healthcare systems
Anagnostopoulos, C.; Hadjiefthymiades, S.; Katsikis, A.; Maglogiannis, I. (2014)Driven by technological advances in low-power network systems and medical sensors, we have witnessed during the recent years the adoption of wireless sensor networks (WSNs) in electronic healthcare. Improving the quality ... -
Bringing IoT and cloud computing towards pervasive healthcare
Doukas, C.; Maglogiannis, I. (2012)Pervasive healthcare applications utilizing body sensor networks generate a vast amount of data that need to be managed and stored for processing and future usage. Cloud computing among with the Internet of Things (IoT) ... -
Building in-silico pathway SBML models from heterogeneous sources
Kanaris, I.; Moutselos, K.; Chatziioannou, A.; Maglogiannis, I.; Kolisis, F. N. (2008)The recent revolutionary developments concerning the high throughput (-omics) measuring techniques in life sciences is expediting the way for the development of in silico models envisioning the Systems biology perspective ... -
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images
Delibasis, K. K.; Georgakopoulos, S.; Plagianakos, V.; Maglogiannis, I. (2014)A number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from imaged objects. One widely used class of such descriptors are the invariant moments, with Zernike moments ... -
Cancer cells detection and pathology quantification utilizing image analysis techniques
Goudas, T.; Maglogiannis, I. (2012)This paper presents an advanced image analysis tool for the accurate and fast characterization and quantification of cancer and apoptotic cells in microscopy images utilizing adaptive thresholding and a Support Vector ... -
Channel Models for On-Body Communications
Sandalidis, H. G.; Maglogiannis, I. (2014)The need to find reliable and simultaneously simplistic propagation models in the majority of frequency bands, where wireless body area networks (WBANs) operate in, is the driving force leading to the appearance of many ... -
Classification of apoptosis using advanced clustering techniques on digital microscopic images
Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2010)Programmed cell death, also known as apoptosis is of fundamental importance in many biological processes and also highly associated with serious diseases like cancer and HIV. The current paper presents an innovative method ... -
Classification of dermatological images using advanced clustering techniques
Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2010)Computer vision-based diagnosis systems have been widely used in dermatology, aiming at the early detection of skin cancer and more specifically the recognition of malignant melanoma tumor. This paper proposes a novel ... -
A Collaborative Biomedical Image-Mining Framework: Application on the Image Analysis of Microscopic Kidney Biopsies
Goudas, T.; Doukas, C.; Chatziioannou, A.; Maglogiannis, I. (2013)The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, such as data acquisition, preprocessing, segmentation, feature extraction, and classification. The ...