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Panagiota Spyridonos

Assistant Professor of Medical Informatics, School of Health Sciences, Department of Medicine, University of Ioannina, Greece

Education

19891994

BSc degree in Physics

University of Patras Greece
19941996

MSc in Medical Physics, .

University of Patras, Greece
19982002

Phd in Medical Informatics

Department of Medicine, School of Health Sciences, University of Patras, Greece

Academic Positions

20042006

Post doctoral research fellow

Computer Vision Center, Universitat d’ Autonoma, Barcelona, Spain
20092015

Lecturer of Medical Informatics

Faculty of Medicine, School of Health Sciences, University of Ioannina, Greece
2015now

Assistant professor

Faculty of Medicine, School of Health Sciences, University of Ioannina Greece

Current Research Interests

  • Computer vision and machine learning: Pattern recognition, knowledge representation, decision support systems in medical diagnosis and prognosis.
  • Supervised and unsupervised machine learning algorithms: Deep learning, Statistical learning, Support vector machines, convolutional networks, data fusion algorithms, clustering algorithms.
  • Medical image processing and analysis: Image processing and enhancement, Image segmentation, texture analysis and morphometry.

Teaching Experience

2009today

“Medical informatics”

School of Health Sciences, Department of Medicine, University of Ioannina,Greece
20062008

“Applied Informatics”

Technological Educational Institute of Patras, Greece, Department of Tourism Management
20062007

“Expert Systems & Artificial Intelligence”

Technological Educational Institute of Messolonghi, Department of Applied Informatics in Management and Finance
20062008

"Health Informatics"

Technological Educational Institute of Patras, Greece, Department of Optics & Optometrics,
20022004

" Especially Physics Issues "

Technological Educational Institute of Patras, Greece, Department of Engineering
20022004

“Physics laboratories”

Technological Educational Institute of Patras, Greece Department of Electrical Engineering,
19972004

“Introducation to Medical Informatics”

University of Patras, Greece, Department of Medicine

Tutoring with responsibility of the final examination and grade

19972004

“Medical Image Processing and Analysis”

University of Patras, Greece, Department of Medicine

Graduate Program of "Basic Medical Sciences” tutoring with responsibility of the final examination and grade.

19972004

“Medical Image Processing and Analysis – Pattern recognition applications”

University of Patras, Greece, Department of Medicine

Graduate Program of “Medical Physics & Bioengineering” tutoring with responsibility of the final examination and grade. 

Publications in peer reviewed Journal articles

  1. Spyridonos P, Gaitanis G, Likas A, Bassukas ID: Automatic discrimination of Actinic keratosis from clinical photographs, Computers in Biology and Medicine, 88 (2017), 50-59.
  2. Elka A, Moulia V, Spyridonos P, Kourkoumelis N: The effect of irradiance and integration time in in vivo normal skin Raman measurements assessed by multivariate statistical analysis. Biomedical Spectroscopy and Imaging, 5 (2016) 217–223.
  3. Gaitanis G, Micheal Tronnier M, Zioga A, Spyridonos P, Bassukas ID: A neglected bassal cell carcinoma in a young patient: Successful treatment with immunocreosurgery. International Journal of Advances in Medicine, 2015, Nov; 2(4):406-404.
  4. Spyridonos P, Gaitanis G,  Bassukas ID, Tzaphlidou M,.:Evaluation of vermillion border descriptors and relevance vector machines discrimination model for making probabilistic predictions of solar cheilosis on digital lip photographs.Computers in Biology and Medicine 2015 Aug;63:11-8
  5. Spyridonos P, Gaitanis G, Tzaphlidou M, Bassukas I: Spatial fuzzy c-means algorithm with adaptive fuzzy exponent selection for robust vermilion border detection in healthy and diseased lower lips. Computer Methods and Programs in Biomedicine May 2014 291-301.
  6. Chaimani A., Higgins J. P.T., Mavridis D.,Spyridonos P., Salanti G.: Graphical tools for network meta-analysis. STATA. PloS One, Oct 2013, 8(10).
  7. Spyridonos P, Gaitanis G, Bassukas ID, Tzaphlidou M. Gray Hausdorff distance measure for medical image comparison in dermatology: Evaluation of treatment effectiveness by image similarity. Skin Res Technol. 2013 Feb; 19(1): 498-506.
  8. Spyridonos, P.,Gaitanis, G., Tzaphlidou, M.,Bassukas ID: Automated evaluation of actinic cheilitis severity by measurement of lip border irregularity: Journal of Investigative Dermatology May 2013 Volume:133 Supplement: 1 
  9. Papoudou-Bai A, Bai M, Doukas M, Stefanaki K, Spyridonos P, Karatzias G,Barbouti A, Galani V, Kanavaros P. Immunohistological characterization of thymic dendritic cells. In Vivo. 2012 Nov-Dec; 26(6):985-92.
  10. Gaitanis G, Spyridonos P, Patmanidis K, Koulouras V, Nakos G, Tzaphlidou M,Bassukas ID. Treatment of toxic epidermal necrolysis with the combination of infliximab and high-dose intravenous immunoglobulin. Dermatology. 2012; 224(2):134-9.
  11. Vilarino F, Spyridonos P, Deiorio F, Vitria J, Azpiroz F, Radeva P. Intestinal motility assessment with video capsule endoscopy: automatic annotation of phasic intestinal contractions. IEEE Trans Med Imaging. 2010 Feb;29(2):246-59.
  12. Athanasiadis E.I, Cavouras D., Spyridonos P., Glotsos D., Kalatzis , Nikiforidis G.: Complementary DNA microarray image processing based on the Fuzzy Gaussian Mixture Model. IEEE Transaction on Information Technology in Biomedicine, July 2009, 13(4): 419-425.
  13. Kagadis G, Diamantopoulos A., Samaras N., Daskalakis A., Spyridonos P., Katsasnos K., Karnabatidis D., Sourgiadaki E., Cavouras D., Siablis D., Nikiforidis G.: An automated computerized methodology for the segmentation of in vivo acquired DSA images: application in the New Zealand hindlimb ischemia model. Journal of Instrumentations May 2009 Vol. 4.
  14. Glotsos D., Kalatzis I., Spyridonos P., Kostopoulos S., Daskalakis A., Ravazoula P., Nikiforidis G., Cavouras D.: Improving accuracy in astrocytomas grading by integrating a robust least square mapping driven SVM Classifier into a two level grade classification. Computer Methods and Programs in Biomedicine, 2008, (90): 251-261.
  15. Daskalakis A., Kostopoulos S., Spyridonos P., Glotsos D, Ravazoula P., Kardari M., Kalatzis I., Cavouras, Nikiforidis G.: Design of a multi classifier system for discriminating benign from malignant thyroid nodules using routinely H&E stained cytological images. Computers in Biology and Medicine, 2008, (38): 196-203.
  16. Papageorgiou E. I., Spyridonos , Glotsos D. Th., Stylios C.D., Ravazoula P., Nikiforidis G.N., Groumpos P. P.: Brain Tumor Characterization using the Soft Computing Technique of Fuzzy Cognitive Maps. Applied Soft Computing 2008, 8(1): 820-828.
  17. Kagadis C.G., Spyridonos P., Karnabatidis D.,Diamantopoulos A., Athanassiadis E., Daskalakis A., Katsanos K., Cavouras D., Mihailidis D., Siablis D., Nikiforidis G. C.: Computerized Analysis of Digital Subtraction Angiography: A Tool for Quantitative In-vivo Vascular Imaging , Journal of Digital Imaging 2008, 21(4): 433-445
  18. Kostopoulos S., Glotsos D., Kagadis G., Daskalakis A., Spyridonos P., Kalatzis I., Karamessini M., Cavouras D., Nikiforidis G.: A Hybrid-based classification method for blood vessel segmentation and aneurism detection on CTA. Computer &Graphics, 2007, 31(3):493-500.
  19. Tasoulis D., Spyridonos P., Pavlidis N., Plagianakos V., Ravazoula P., Nikiforidis G.: Cell-Nuclear Data Reduction and Prognostic Model Selection in Bladder Tumor Recurrence. Artificial Intelligence in Medicine, 2006, (38):291-303.
  20. Papageorgiou E., Spyridonos P., Stylios C., Ravazoula P., Groumpos P., Nikiforidis G.: Advanced soft computing diagnosis method for tumour grading. Artificial Intelligence in Medicine, 2006, 36(1): 59-70.
  21. Kagadis G, Spyridonos P., Mihalidis D., Daskalakis A., Katsanos K., Diamantopoulos A., Karnabatidis D., Siablis D., Cavouras D., Nikiforidis G.: A computerized automated segmentation methodology for the recognition of vessels from in vivo acquired DSA images. Medical Physics 2006;33(6):2018-2018.
  22. Spyridonos P., Petalas P., Glotsos D., Cavouras D., Ravazoula P., Nikiforidis G.: Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classification. Journal of Computational Methods in Sciences and Engineering, 2006 (6): 283-292.
  23. Malagelada C., De Iorio F., Aspiroz F. Spyridonos P., Petia Radeva, Malagelada J-R.: Diagnosis of intestinal Motor Abnormalities by endoluminal image and displacement analysis: A novel Approach. Gastroenterology, 2006, 130 (4): A743-A743 Suppl. 2.
  24. De Iorio, P. Spyridonos, F. Azpiroz, R. Petia, C. Malagelada, J.R. Malagelada: Computer-assisted analysis of endoscopic capsule images for the study of the intestinal motility. Digestive and Liver Disease, 2006, Vol. 38 Supplement 1, Page S45.
  25. De Iorio F., Spyridonos P., Azpiroz F., Radeva P., Malagelada C., Malagelada J-R. : New insight into intestinal motor activity: correlation of endoluminal image analysis and displacement. Gastroenterology, 2005, 128 (4): A24-A24 Suppl. 2.
  26. Glotsos D., Spyridonos P., Cavouras D., Ravazoula P., Dadioti P, Nikiforidis G. An image analysis system based on support vector machines for automatic grade diagnosis of brain tumour astrocytomas in clinical routine. Medical Informatics & The Internet in Medicine, 2005, 30(3): 179-193.
  27. Papageorgiou E., Spyridonos P., Stylios C., Nikiforidis G., Groubos P.: Grading Urinary Bladder Tumors Using Unsupervised Hebbian Algorithm for Fuzzy Cognitive Maps. Biomedical Soft Computing and Human Sciences, 2004, 9(2): 33–39.
  28. Glotsos D., Spyridonos P., Cavouras D., Ravazoula P., Dadioti P., and Nikiforidis G.: Automated segmentation of routinely H&E stained microscopic images by combining support vector machine clustering and active contour models. Analytical and Quantitative Cytology and Histology, 2004, 26(6):331-341.
  29. Glotsos D., Spyridonos P., Petalas P., Cavouras D., Ravazoula P., Dadioti P., Lekka I., and Nikiforidis G.: Computer-based malignancy grading of astrocytomas employing a Support Vector Machines Classifier, the WHO grading system, and the regular staining diagnostic procedure Hematoxylin-Eosin. Analytical and Quantitative Cytology and Histology, 2004, 26(2):77-83.
  30. Spyridonos P., Cavouras D., Ravazoula P., Nikiforidis G.: A Computer-based diagnostic and prognostic system for assessing urinary bladder tumour grade and predicting cancer recurrence. Medical Informatics & The Internet in Medicine, 2002; 27(2):111-122.
  31. Spyridonos P., Cavouras D., Ravazoula P., Nikiforidis G.: Neural network based segmentation and classification system for the automatic grading of histological sections of urinary bladder carcinoma. Analytical and Quantitative Cytology and Histology, 2002; 24(6):317-324.
  32. Spyridonos P., Ravazoula P., Cavouras D., Berberidis K., Nikiforidis G.: Computer-based grading of haematoxylin-eosin stained tissue sections of urinary bladder carcinomas. Medical Informatics & The Internet in Medicine, 2001; 26(3): 179-190.

Publications in Peer-reviewed Book chapters

  1.  Athanasiadis E., Cavouras D., Spyridonos P., Kalatzis I., Nikiforidis G.: An Automatic Microarray Image Gridding Technique Based on Continuous Wavelet Transform. Computer Analysis of Images and Patterns, Volume 4673/2007:864-870, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg
  2.  Spyridonos P., Papageorgiou E. Grumpos P., Nikiforidis G.: Integration of expert knowledge and image analysis techniques for medical diagnosis. Image Analysis and Recognition, Volume 4142/2006:110-121, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg. Book Editor(s): Campilho, A; Kamel, M. 
  3. Vilarino F., Spyridonos P., Vitria J., Malagelada C., Radeva P.: A Machine Learning Framework Using SOMs: Applications in the Intestinal Motility. Book Progress in Pattern Recognition, Image Analysis and Applications Volume 4225/2006: 188-197, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin/Heidelberg. Book Editor(s): MartinezTrinidad, JF; Ochoa, JAC; Kittler, J. 
  4.  Vilarino F., Spyridonos P., Vitria J., Malagelada C., Radeva P.: Linear Radial Patterns Characterization for Automatic  Detection of Tonic Intestinal Contractions. Book Progress in Pattern Recognition, Image Analysis and Applications, Volume 4225/2006: 178-187, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg. Book Editor(s): MartinezTrinidad, JF; Ochoa, JAC; Kittler, J. 
  5. Spyridonos P., Vilarino F., Vitria J., Azpiroz F., Radeva P.: Anisotropic feature extraction from endoluminal images for detectiojn of intestinal contractions. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006, Volume 4191/2006: 161-168, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg. Book Editor(s): Larsen, R; Nielsen, M; Sporring, J. 
  6.  Spyridonos P., Vilarino F., Vitria J., Radeva P.: Identification of Intestinal Motility Events of Capsule Endoscopy Video Analysis. Book Advanced Concepts for Intelligent Vision Systems Volume 3708/2005: 531-537, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg. Book Editor(s): BlancTalon, J; Philips, W; Popescu, D; et al.
  7. Vilarino F., Spyridonos P., Vitria J., Radeva P.: Experiments with SVM and Stratified Sampling with an Imbalanced Problem: Detection of Intestinal Contractions. Book Pattern Recognition and Image Analysis, Volume 3687/2005: 783-791, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg. Book Editor(s): Singh, S; Singh, M; Apte, C; et al.
  8. Glotsos D., Spyridonos P., Ravazoula P., Cavouras D., Nikiforidis G. 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. Book Neural Information Processing, Volume 3316/2004:1058-1063, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg. Book Editor(s): Pal, NR; Kasabov, N; Mudi, RK; et al. 
  9.  Papageorgiou E., Spyridonos P., Stylios C., Ravazoula P., Nikiforidis G., Groubos P. The Challenge of Soft Computing Techniques for Tumor Characterization. Book Artificial Intelligence and Soft Computing - ICAISC 2004, Volume 3070/2004: 1031-1036, Book Series Lecture Notes in Computer Science, Publisher Springer Berlin / Heidelberg. 
  10. Tasoulis D., Spyridonos P., Pavlidis N., Cavouras D., Ravazoula P., Nikiforidis G., and Vrahatis M. Urinary Bladder Tumor Grade Diagnosis Using On-Line Trained Neural Networks, Book Knowledge-Based Intelligent Information and Engineering Systems, Volume 2773/2003 :199-206,  Book Series Lecture Notes in Artificial Intelligence, Publisher Springer Berlin / Heidelberg. Book Editor(s): Palade, V; Howlett, RJ; Jain, L 

Publications in Peer-reviewed Confererence proceedings

  1.  Athanasiadis E., Cavouras D., Spyridonos P., Glotsos D., Kalatzis I., Nikiforidis G.: Segmentation of microarray images using gradient vector flow active contours boosted by Gaussian mixture models. Proceedings of the 2nd International Conference on Experiments/Process/System Modeling/ Simulation & Optimization 2nd IC-EpsMsO, Athens, 4-7 July, 2007.
  2. Athanasiadis E., Cavouras D., Spyridonos P., Glotsos D., Kalatzis I., Nikiforidis G.: Segmentation of complementary DNA microarray images using a Fuzzy Gaussian Mixture Model technique. Proceedings of the International Special Topic Conference on Information Technology in Biomedicine (ITAB 2006), Ioannina Greece, 26-28 October.
  3. Kostopoulos S., Daskalakis A., Glotsos D., Spyridonos P., Ravazoula P., Cavouras D., and Nikoforidis G. Computer-aided assessment of the Estrogen Receptor status in breast tissue sections. Proceedings of 5th European Symposium on BioMedical Engineering ESBME 2006. 7th to 9th July 2006, Patras, Ellas, University of Patras.
  4. Athanasiadis E., Spyridonos P., Daskalakis A., Glotsos D., Kostopoulos S., Kalatzis  I., Cavouras D. and Nikiforidis G.. Segmentation of microarray images using gaussian mixture models and wavelet based preprocessing filters. Proceedings of 2nd International Conference “From Scientific Computing to Computational Engineering”, 2nd IC-SCCE, Athens, 5-8 July, 2006.
  5. Athanasiadis E, Glotsos D., Daskalakis A, Bougioukos P, Kostopoulos S., Theocharakis P., Spyridonos P., Kalatzis I., Nikiforidis G. and Cavouras D. Microarray image enhancement techniques using the discrete wavelet transform. Proceedings of 2nd International Conference “From Scientific Computing to Computational Engineering”, 2nd IC-SCCE, Athens, 5-8 July, 2006.
  6. Vilarino F., Spyridonos P., Vitria J., Radeva P.: Automatic Detection of intestinal juices in wireless capsule video endoscopy. Proceedings of 18th International Conference on Pattern Recognition. August, 2006, Hong Kong. Times Cited: 37 (from Scopus Database)
  7.  Vilarino F., Spyridonos P., Vitria J., Azpiroz F., Radeva P.: Cascade analysis for intestinal contraction detection. Proceedings of Computer Assisted Radiology and Surgery (CARS 2006), July 2006, Osaka, Japan.
  8.  Glotsos D., Daskalakis A., Kalatzis G., Spyridonos P., Ravazoula P.,  Dimitropoulos N., Nikiforidis G., Cavouras D.: “Nuclei Segmentation of Microscopy Images of Thyroid Nodules via Active Contours and K-Means Clustering”, Pst International Conference on Experiments/ Process / System Modeling/ Simulation / Optimization (1st IC-EpsMso), July 6-9, 2005, Athens,Greece.
  9. Vilarino F. Spyridonos P., Vitria J. Radeva P.: Self Organized Maps for Intestinal Contractions Categorization with wireless Capsule Video Endoscopy. Proceedings of the3rd European Medical and Biological Engineering Conference EMBEC’05. November 20-25, 2005, Prague, Czech Republic.
  10. Spyridonos P., Glotsos D., Papageorgiou E., Stylios C., Ravazoula P., Groumpos P., Nikiforidis G.: Fuzzy cognitive map-based methodology for grading brain tumors. Proceedings of the3rd European Medical and Biological Engineering Conference EMBEC’05. November 20-25, 2005, Prague, Czech Republic.
  11. Papadimitirou K., Spyridonos P., Glotsos D., Cavouras D., Ravazoula P., Nikiforidis G.. Design a prognostic system for tumour recurrence based on supervised classification algorithms and quantitative microscopy. Proceedings of the 4th European Symposium on Biomedical Engineering. 25th June-27th June 2004, Patras, Greece.
  12. Kostopoulos A., Glotsos D., Spyridonos P., Nikiforidis G.,Sotiropoulos D., Grapsa T.. Comparative evaluation of feedforward and probabilistic neural networks for the automatic classification of brain tumours. Proceedings of the1st International conference “From scientific computing to computational engineering”, 1st IC-SCCE 8-10 September, 2004, Athens, Greece.
  13. Glotsos D., Spyridonos P., Ravazoula P., Tsantis S., Nikiforidis G.,  Cavouras D. Evaluating the Generalization Performance of a Support Vectror Machine Based Classification Methodology in Brain Tumor Astrocytomas Grading. Proceedings of the1st International conference “From scientific computing to computational engineering”, 1st IC-SCCE 8-10 September, 2004, Athens, Greece
  14. Tsantis S., Glotsos D., Spyridonos P., Kalatzis G., Dimitropoulos N.,  Nikiforidis G., Cavouras D.. Improving Diagnostic Accuracy in the Classification of Thyroid Cancer by Combining Quantitative Information Extracted from Both Ultrasound and Cytological Images. Proceedings of the1st International conference “From scientific computing to computational engineering”, 1st IC-SCCE 8-10 September, 2004, Athens, Greece.
  15. Glotsos D., Spyridonos P., Kalatzis G., Dimitropoulos N.,  Ravazoula P.,  Nikiforidis G., Cavouras D.. Unsupervised Segmentation of Fine Needle Aspiration Nuclei Images of Thyroid Cancer Using a Support Vector Machine Clustering Methodology. Proceedings of the1st International conference “From scientific computing to computational engineering”, 1st IC-SCCE 8-10 September, 2004, Athens, Greece.
  16. Papadimitirou K., Spyridonos P., Glotsos D., Cavouras D., Ravazoula P.  Nikiforidis G . A Majority Vote Scheme for Early Prognosis of Urinary Bladder Cancer Recurrence. Proceedings of the1st International conference “From scientific computing to computational
  17. Glotsos D., Spyridonos P., Cavouras D., Ravazoula P., Dadioti P.,  Lekka I., Nikiforidis G.. Design of an image analysis system for automatically grading astrocytomas from routinely employed biopsy material and staining procedures. Proceedings of the Xth Mediterranean Conference on Medical and Biological Engineering. Medicon and Health Telematics 2004 “Health in the information Society”. July 31-August 5, 2004, Ischia, Naples-Italy.
  18. Petalas P., Spyridonos P., Glotsos D., Cavouras D., Ravazoula P., Nikiforidis G. Probabilistic Neural Network Analysis of Quantitative Nuclear Features in Predicting the Risk of Cancer Recurrence at different Follow-up Times. Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis September 18-20, 2003, Rome, Italy.
  19. Glotsos D., Spyridonos P., Petalas P., Cavouras D., Zolota V., Dadioti P., Lekka I. Nikiforidis G.. A hierarchical decision tree classification scheme for brain tumour astrocytoma grading using Support Vector Machines. Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis September 18-20, 2003, Rome, Italy.
  20. Papageorgiou E.I., Spyridonos P., Stylios C.D., Groumpos P.P.: “Urinary Bladder Tumors Grading Using Nonlinear Hebbian Rule for Fuzzy Cognitive Maps”, Proceedings of the16th IEE Intern. Conference on Systems Engineering, ICSE 2003, Coventry, England.
  21. Papageorgiou P., Spyridonos P., Stylios C., Ravazoula P., Groumpos P., Nikiforidis G.. A Fuzzy Cognitive Map model for grading urinary bladder tumors. Proceedings of the 5th International Conference on Neural Networks and Experts Systems in Medicine and Healthcare and 1st International Conference on Computational Intelligence in medicine and healthcare, 21-23 July 2003, Sheffield, England, pp 55-60.
  22. Glotsos D., Spyridonos P., Petalas P., Cavouras D.,         Ravazoula P., Dadioti P., Lekka I. Nikiforidis G.: Support Vector Machines for Classification of Histopathological images of Brain Tumour Astrocytomas. Proceedings of the International Conference of Computational Methods in Sciences and Engineering. September 12-16, 2003. Kastoria, Greece, pp 192-195.
  23. Spyridonos P., Petalas P., Glotsos D., Cavouras D., Ravazoula P., Nikiforidis G.: Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classification.  Proceedings of the International Conference of Computational Methods in Sciences and Engineering September 12-16, 2003, Kastoria, Greece, pp 611-614.
  24. Spyridonos P., Zolota V., Cavouras D., Zenebisis G., Glotsos D., Nikiforidis G.: A computer-based image analysis system for classification of astrocytomas according the WHO grading system. Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA 2002), June 25-28, 2002, in Crete, Greece pp 371-374.
  25. Spyridonos P., Cavouras D., Ravazoula P., Nikiforidis G.: A pattern recognition system for the comparative evaluation of Physician’s subjective assessment versus quantitative nuclear features in grading urine bladder tumours. Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA 2002), June 25-28, 2002, Crete, Greece pp.131-135.
  26. Spyridonos P., Glotsos D., Cavouras D., Ravazoula P., Zolota V., Nikiforidis G.: Pattern recognition based segmentation method of cell nuclei in tissue section analysis. Proceedings of the 14th IEEE International Conference on Digital Signal Processing (DSP2002), July 1-3, 2002, Santorini, Greece pp.1121-1124. Times Cited: 1 (from IEEE Xplore database)
  27. Spyridonos P., Cavouras D., Makris V., Zenebisis G., Maratou V., Kagadis G., Ravazoula P., Nikiforidis G.: 2001, C4-A Neural network based segmentation algorithm of nuclei in tissue sections of urine bladder cancer. (MEDICON) Proceedings of the IX Mediterranean Conference on Medical and Biological Engineering and Computing, Pula, Kroatia (MEDICON), June 2001 pp. 546-547.
  28. Spyridonos P., Ravazoula P., Cavouras D., Nikiforidis G.: An Automatic classification system of urine bladder tumours employing morphological and textural nuclear features. Proceedings of the IEEE International Conference on Image Processing, ICIP 2001, October 7-10, Thessaloniki, Greece pp. 853-856 Times Cited: 2 (from Scopus Database)
  29. Papaeliou C., Spyridonos P., Minadakis G., Cavouras D.: 2001, A Pattern recognition system for the analysis of infant vocalizations of apprehension and affect. Proceedings of the IX Mediterranean Conference on Medical and Biological Engineering and Computing, Pula, Kroatia (MEDICON), June 2001 pp. 222-225.
  30. Maratou V., Kagadis G., Cavouras D., Spyridonos P., Makris V. Zenebissis G., Vassilakos P., Siablis S., Nikiforidis G.: 2001, Image Co-Registration in brain tumour residual disease from CT and SPECT data sets. Proceedings of the IX Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), Pula, Kroatia, June 2001 pp. 538-541.

International Patents

[p1] Spyridonos, Panagiota; Vilarino, Fernando; Vitria, Jordi; Radeva, Petia;Azpiroz, Fernando;Malagelada A, Juan.

DEVICE, SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF CONTRACTILE ACTIVITY IN AN IMAGE FRAME .

Patent publication number: EP1997074 B1. Published in Feb 6, 2013

[p2] Vilarino, Fernando; Spyridonos, Panagiota; Radeva, Petia; Vitria, Jordi; Azpiroz, Fernando; Malagelada, Juan.

DEVICE, SYSTEM AND METHOD FOR MEASUREMENT AND ANALYSIS OF CONTRACTILE ACTIVITY

Patent publication number: US8335362 B2. Published in Dec 18, 2012

[p3] Petia, Radeva; Jordi, Vitria; Fernando, Vilarino;Panagiota, Spyridonos; Fernando, Azpiroz;Juan, Malagelada; Iorio, Fosca De; Anna, Accarino.

CASCADE ANALYSIS FOR INTESTINAL CONTRACTION DETECTION

Patent publication number: EP1997076 B1. Published in Nov 10, 2010

Citations