Pantelis Georgiadis

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Antonis Daskalakis

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Publications

2010
[j5]
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Dimitris Glotsos, Ioannis Kalatzis, Pantelis Theocharakis, Pantelis Georgiadis, Antonis Daskalakis, Kostas Ninos, Pavlos Zoumboulis, Anna Filippidou, Dionisis A. Cavouras:
A multi-classifier system for the characterization of normal, infectious, and cancerous prostate tissues employing transrectal ultrasound images. Comput. Methods Programs Biomed. 97(1): 53-61 (2010)
2008
[j2]
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Pantelis Georgiadis, Dionisis A. Cavouras, Ioannis Kalatzis, Antonis Daskalakis, George C. Kagadis, Koralia Sifaki, Menelaos Malamas, George Nikiforidis, Ekaterini Solomou:
Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features. Comput. Methods Programs Biomed. 89(1): 24-32 (2008)
2007
[c5]
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  - conf/caip/BougioukosCDKKGNB07
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Panagiotis Bougioukos, Dionisis A. Cavouras, Antonis Daskalakis, Ioannis Kalatzis, Spiros Kostopoulos, Pantelis Georgiadis, George Nikiforidis, Anastasios Bezerianos:
Biomarker Selection System, Employing an Iterative Peak Selection Method, for Identifying Biomarkers Related to Prostate Cancer. CAIP 2007: 197-204
[c4]
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  - conf/iccsa/GeorgiadisCKDKSMNS07
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Pantelis Georgiadis, Dionisis A. Cavouras, Ioannis Kalatzis, Antonis Daskalakis, George C. Kagadis, Koralia Sifaki, Menelaos Malamas, George Nikiforidis, Ekaterini Solomou:
Non-linear Least Squares Features Transformation for Improving the Performance of Probabilistic Neural Networks in Classifying Human Brain Tumors on MRI. ICCSA (3) 2007: 239-247
[c3]
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  - conf/iccsa/DaskalakisCBKGKKN07
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Antonis Daskalakis, Dionisis A. Cavouras, Panagiotis Bougioukos, Spiros Kostopoulos, Pantelis Georgiadis, Ioannis Kalatzis, George C. Kagadis, George Nikiforidis:
Effective Quantification of Gene Expression Levels in Microarray Images Using a Spot-Adaptive Compound Clustering-Enhancement-Segmentation Scheme. ICCSA (3) 2007: 555-565

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