Prognostic performance of two expert systems based on Bayesian belief networks. - George Sakellaropoulos; George Nikiforidis (Decis. Support Syst., 2000)

The Probabilities Mixture Model for Clustering Flow-Cytometric Data: An Application to Gating Lymphocytes in Peripheral Blood. - John Lakoumentas; John Drakos; Marina Karakantza; Nicolaos C. Zoumbos; George Nikiforidis; George Sakellaropoulos (ISBMDA, 2006)

A perspective for biomedical data integration: Design of databases for flow cytometry. - John Drakos; Marina Karakantza; Nicholas C. Zoumbos; John Lakoumentas; George Nikiforidis; George Sakellaropoulos (BMC Bioinform., 2008)

Bayesian clustering of flow cytometry data for the diagnosis of B-Chronic Lymphocytic Leukemia. - John Lakoumentas; John Drakos; Marina Karakantza; George Nikiforidis; George Sakellaropoulos (J. Biomed. Informatics, 2009)

Background adjustment of cDNA microarray images by Maximum Entropy distributions. - Christos Argyropoulos; Antonis Daskalakis; George Nikiforidis; George Sakellaropoulos (J. Biomed. Informatics, 2010)

Optimizations of the naïve-Bayes classifier for the prognosis of B-Chronic Lymphocytic Leukemia incorporating flow cytometry data. - John Lakoumentas; John Drakos; Marina Karakantza; George Sakellaropoulos; Vasileios Megalooikonomou; George Nikiforidis (Comput. Methods Programs Biomed., 2012)

Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI images. - Ekaterini Solomou; Spiros Kostopoulos; Konstantinos Sidiropoulos; Emmanouil Athanasiadis; Eleftherios Lavdas; Dimitris Glotsos; George Sakellaropoulos; Petros Zampakis; T. John Stonham; Dionisis A. Cavouras (Int. J. High Perform. Comput. Appl., 2013)

Methodological issues in the spectral analysis of the heart rate variability: Application in patients with epilepsy. - Maria L. Stavrinou; George Sakellaropoulos; Eftichia Trachani; Vassiliki Sirrou; Panayiotis Polychronopoulos; George Nikiforidis; Elisabeth Chroni (Biomed. Signal Process. Control., 2014)

Adaptable pattern recognition system for discriminating Melanocytic Nevi from Malignant Melanomas using plain photography images from different image databases. - Spiros Kostopoulos; Pantelis A. Asvestas; Ioannis Kalatzis; George Sakellaropoulos; Theofilos H. Sakkis; Dionisis A. Cavouras; Dimitris T. Glotsos (Int. J. Medical Informatics, 2017)

ebioMelDB: Multi-modal Database for Melanoma and Its Application on Estimating Patient Prognosis. - Aigli Korfiati; Giorgos Livanos; Christos Konstantinou; Sophia Georgiou; George Sakellaropoulos (AIAI, 2021)

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. - Angeliki D. Theodosi; Sotiris Ouzounis; Spiros Kostopoulos; Dimitris Glotsos; Ioannis Kalatzis; Vassiliki Tzelepi; Panagiota Ravazoula; Pantelis Asvestas; Dionisis A. Cavouras; George Sakellaropoulos (Mach. Vis. Appl., 2021)