Panagiota Spyridonos - researchr alias

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Viewing Publication 1 - 29 from 29

2023

A convolutional neural network based system for detection of actinic keratosis in clinical images of cutaneous field cancerizationPanagiota Spyridonos, Georgios Gaitanis, Aristidis Likas, Ioannis D. Bassukas. bspc, 79(Part):104059, 2023. [doi]

2018

Multi-Threshold LIP Contour DetectionPanagiota Spyridonos, Aggelos Fares Saint, Aristidis Likas, Georgios Gaitanis, Ioannis D. Bassukas. icip 2018: 1912-1916 [doi]

2017

Automatic discrimination of actinic keratoses from clinical photographsPanagiota Spyridonos, Georgios Gaitanis, Aristidis Likas, Ioannis D. Bassukas. cbm, 88:50-59, 2017. [doi]

2015

Evaluation of vermillion border descriptors and relevance vector machines discrimination model for making probabilistic predictions of solar cheilosis on digital lip photographsPanagiota Spyridonos, Georgios Gaitanis, Ioannis D. Bassukas, Margaret Tzaphlidou. cbm, 63:11-18, 2015. [doi]

2014

Spatial fuzzy c-means algorithm with adaptive fuzzy exponent selection for robust vermilion border detection in healthy and diseased lower lipsPanagiota Spyridonos, Georgios Gaitanis, Margaret Tzaphlidou, Ioannis D. Bassukas. cmpb, 114(3):291-301, 2014. [doi]

2010

Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal ContractionsFernando Vilariño, Panagiota Spyridonos, Fosca De Iorio, Jordi Vitrià, Fernando Azpiroz, Petia Radeva. tmi, 29(2):246-259, 2010. [doi]

2009

Complementary DNA Microarray Image Processing Based on the Fuzzy Gaussian Mixture ModelEmmanouil Athanasiadis, Dionisis Cavouras, Panagiota Spyridonos, Dimitris Glotsos, Ioannis Kalatzis, George Nikiforidis. titb, 13(4):419-425, 2009. [doi]

2008

Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological imagesAntonis Daskalakis, Spiros Kostopoulos, Panagiota Spyridonos, Dimitris Glotsos, Panagiota Ravazoula, Maria Kardari, Ioannis Kalatzis, Dionisis Cavouras, George Nikiforidis. cbm, 38(2):196-203, 2008. [doi]

Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification schemeDimitris Glotsos, Ioannis Kalatzis, Panagiota Spyridonos, Spiros Kostopoulos, Antonis Daskalakis, Emmanouil Athanasiadis, Panagiota Ravazoula, George Nikiforidis, Dionisis Cavouras. cmpb, 90(3):251-261, 2008. [doi]

Computerized Analysis of Digital Subtraction Angiography: A Tool for Quantitative In-vivo Vascular ImagingGeorge C. Kagadis, Panagiota Spyridonos, Dimitris Karnabatidis, Athanassios Diamantopoulos, Emmanouil Athanasiadis, Antonis Daskalakis, Konstantinos Katsanos, Dionisis Cavouras, Dimitris Mihailidis, Dimitris Siablis, George Nikiforidis. jdi, 21(4):433-445, 2008. [doi]

Brain tumor characterization using the soft computing technique of fuzzy cognitive mapsElpiniki Papageorgiou, Panagiota Spyridonos, Dimitris Glotsos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos. asc, 8(1):820-828, 2008.

2007

2006

Advanced soft computing diagnosis method for tumour gradingElpiniki Papageorgiou, Panagiota Spyridonos, Chrysostomos D. Stylios, Panagiota Ravazoula, Peter P. Groumpos, George Nikiforidis. artmed, 36(1):59-70, 2006. [doi]

Integration of Expert Knowledge and Image Analysis Techniques for Medical DiagnosisPanagiota Spyridonos, Elpiniki Papageorgiou, Peter P. Groumpos, George Nikiforidis. iciar 2006: 110-121 [doi]

Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classificationPanagiota Spyridonos, Panagiotis Petalas, Dimitris Glotsos, Dionisis Cavouras, Panagiota Ravazoula, George Nikiforidis. jcmse, 6(5-6):283-292, 2006. [doi]

Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal ContractionsPanagiota Spyridonos, Fernando Vilariño, Jordi Vitrià, Fernando Azpiroz, Petia Radeva. miccai 2006: 161-168 [doi]

Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrenceDimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis. artmed, 38(3):291-303, 2006. [doi]

Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal ContractionsFernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Carolina Malagelada, Petia Radeva. ciarp 2006: 178-187 [doi]

Automatic Detection of Intestinal Juices in Wireless Capsule Video EndoscopyFernando Vilariño, Panagiota Spyridonos, Oriol Pujol, Jordi Vitrià, Petia Radeva. icpr 2006: 719-722 [doi]

A Machine Learning Framework Using SOMs: Applications in the Intestinal Motility AssessmentFernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Carolina Malagelada, Petia Radeva. ciarp 2006: 188-197 [doi]

2005

Identification of Intestinal Motility Events of Capsule Endoscopy Video AnalysisPanagiota Spyridonos, Fernando Vilariño, Jordi Vitrià, Petia Radeva. acivs 2005: 531-537 [doi]

Experiments with SVM and Stratified Sampling with an Imbalanced Problem: Detection of Intestinal ContractionsFernando Vilariño, Panagiota Spyridonos, Jordi Vitrià, Petia Radeva. icapr 2005: 783-791 [doi]

2004

Automated Diagnosis of Brain Tumours Using a Novel Density Estimation Method for Image Segmentation and Independent Component Analysis Combined with Support Vector Machines for Image ClassificationDimitris Glotsos, Panagiota Spyridonos, Panagiota Ravazoula, Dionisis Cavouras, George Nikiforidis. iconip 2004: 1058-1063 [doi]

The Challenge of Soft Computing Techniques for Tumor CharacterizationElpiniki Papageorgiou, Panagiota Spyridonos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos. icaisc 2004: 1031-1036 [doi]

2003

Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural NetworksDimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis. kes 2003: 199-206 [doi]

2002

A prognostic-classification system based on a probabilistic NN for predicting urine bladder cancer recurrencePanagiota Spyridonos, Dimitris Glotsos, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis. icdsp 2002: 1161-1164 [doi]

Pattern recognition based segmentation method of cell nuclei in tissue section analysisPanagiota Spyridonos, Dimitris Glotsos, Dionisis A. Cavouras, Panagiota Ravazoula, Valery V. Zolotaryov, George Nikiforidis. icdsp 2002: 1121-1124 [doi]

2001

An automatic classification system of urine bladder tumors employing morphological and textural nuclear featuresPanagiota Spyridonos, Panagiota Ravazoula, Dionisis Cavouras, George Nikiforidis. icip 2001: 853-856 [doi]

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