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Panagiota Ravazoula
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Journal Articles
- 2021
- [j11]Angeliki D. Theodosi
, Sotiris Ouzounis
, Spiros Kostopoulos
, Dimitris Glotsos
, Ioannis Kalatzis, Vassiliki Tzelepi, Panagiota Ravazoula, Pantelis Asvestas, Dionisis A. Cavouras, George Sakellaropoulos:
Design of a hybrid deep learning system for discriminating between low- and high-grade colorectal cancer lesions, using microscopy images of IHC stained for AIB1 expression biopsy material. Mach. Vis. Appl. 32(3): 58 (2021) - 2018
- [j10]Dimitris Glotsos
, Spiros Kostopoulos
, Panagiota Ravazoula, Dionisis A. Cavouras:
Image quilting and wavelet fusion for creation of synthetic microscopy nuclei images. Comput. Methods Programs Biomed. 162: 177-186 (2018) - 2017
- [j9]Spiros Kostopoulos
, Panagiota Ravazoula, Pantelis Asvestas
, Ioannis Kalatzis, George Xenogiannopoulos, Dionisis A. Cavouras, Dimitris Glotsos
:
Development of a Reference Image Collection Library for Histopathology Image Processing, Analysis and Decision Support Systems Research. J. Digit. Imaging 30(3): 287-295 (2017) - 2012
- [j8]Konstantinos Sidiropoulos
, Dimitris Glotsos
, Spiros Kostopoulos
, Panagiota Ravazoula, Ioannis Kalatzis, Dionisis A. Cavouras, T. John Stonham:
Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit. Comput. Biol. Medicine 42(4): 376-386 (2012) - 2008
- [j7]Elpiniki Papageorgiou, Panagiota Spyridonos, Dimitris Glotsos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos:
Brain tumor characterization using the soft computing technique of fuzzy cognitive maps. Appl. Soft Comput. 8(1): 820-828 (2008) - [j6]Antonis Daskalakis, Spiros Kostopoulos
, Panagiota Spyridonos, Dimitris Glotsos
, Panagiota Ravazoula, Maria Kardari, Ioannis Kalatzis, Dionisis A. Cavouras, George Nikiforidis:
Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images. Comput. Biol. Medicine 38(2): 196-203 (2008) - [j5]Dimitris Glotsos
, Ioannis Kalatzis, Panagiota Spyridonos, Spiros Kostopoulos
, Antonis Daskalakis, Emmanouil Athanasiadis
, Panagiota Ravazoula, George Nikiforidis, Dionisis A. Cavouras:
Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme. Comput. Methods Programs Biomed. 90(3): 251-261 (2008) - 2006
- [j4]Elpiniki Papageorgiou
, Panagiota Spyridonos, Chrysostomos D. Stylios, Panagiota Ravazoula, Peter P. Groumpos, George Nikiforidis:
Advanced soft computing diagnosis method for tumour grading. Artif. Intell. Medicine 36(1): 59-70 (2006) - [j3]Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis
, Vassilis P. Plagianakos, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis:
Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence. Artif. Intell. Medicine 38(3): 291-303 (2006) - [j2]Panagiota Spyridonos, Panagiotis Petalas, Dimitris Glotsos
, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis:
Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classification. J. Comput. Methods Sci. Eng. 6(5-6): 283-292 (2006) - 2005
- [j1]Dimitris Glotsos
, Jussi Tohka
, Panagiota Ravazoula, Dionisis A. Cavouras, George Nikiforidis:
Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines. Int. J. Neural Syst. 15(1-2): 1-11 (2005)
Conference and Workshop Papers
- 2007
- [c7]Spiros Kostopoulos
, Dionisis A. Cavouras, Antonis Daskalakis, Ioannis Kalatzis, Panagiotis Bougioukos, George C. Kagadis, Panagiota Ravazoula, George Nikiforidis:
Assessing Estrogen Receptors' Status by Texture Analysis of Breast Tissue Specimens and Pattern Recognition Methods. CAIP 2007: 221-228 - 2004
- [c6]Elpiniki Papageorgiou, Panagiota Spyridonos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos:
The Challenge of Soft Computing Techniques for Tumor Characterization. ICAISC 2004: 1031-1036 - [c5]Dimitris Glotsos
, Panagiota Spyridonos, Panagiota Ravazoula, Dionisis A. Cavouras, George Nikiforidis:
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 Classification. ICONIP 2004: 1058-1063 - 2003
- [c4]Dimitris K. Tasoulis, Panagiota Spyridonos, Nicos G. Pavlidis, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis, Michael N. Vrahatis:
Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks. KES 2003: 199-206 - 2002
- [c3]Panagiota Spyridonos, Dimitris Glotsos
, Dionisis A. Cavouras, Panagiota Ravazoula, Valery V. Zolotaryov, George Nikiforidis:
Pattern recognition based segmentation method of cell nuclei in tissue section analysis. DSP 2002: 1121-1124 - [c2]Panagiota Spyridonos, Dimitris Glotsos
, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis:
A prognostic-classification system based on a probabilistic NN for predicting urine bladder cancer recurrence. DSP 2002: 1161-1164 - 2001
- [c1]Panagiota Spyridonos, Panagiota Ravazoula, Dionisis A. Cavouras, George Nikiforidis:
An automatic classification system of urine bladder tumors employing morphological and textural nuclear features. ICIP (2) 2001: 853-856
Coauthor Index
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