Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients. - Georgios Feretzakis; Aikaterini Sakagianni; Dimitris Kalles; Evangelos Loupelis; Vasileios Panteris; Lazaros Tzelves; Rea Chatzikyriakou; Nikolaos Trakas; Stavroula Kolokytha; Polyxeni Batiani; Zoi Rakopoulou; Aikaterini Tika; et al. (ICIMTH, 2022)

Exploratory Clustering for Emergency Department Patients. - Georgios Feretzakis; Aikaterini Sakagianni; Dimitris Kalles; Evangelos Loupelis; Lazaros Tzelves; Vasileios Panteris; Rea Chatzikyriakou; Nikolaos Trakas; Stavroula Kolokytha; Polyxeni Batiani; Zoi Rakopoulou; Aikaterini Tika; et al. (ICIMTH, 2022)

Prediction of Hospitalization Using Machine Learning for Emergency Department Patients. - Georgios Feretzakis; Aikaterini Sakagianni; Evangelos Loupelis; Dimitris Kalles; Vasileios Panteris; Lazaros Tzelves; Rea Chatzikyriakou; Nikolaos Trakas; Stavroula Kolokytha; Polyxeni Batiani; Zoi Rakopoulou; Aikaterini Tika; et al. (MIE, 2022)

A Deep Learning Model for Classifying Histological Types of Colorectal Polyps. - Vasileios Panteris; Dimitris Kalles; Vassilios S. Verykios; Stefani Vgenopoulou; Aikaterini Pierrakou; Ilias Dalainas; Georgios Feretzakis (ICIMTH, 2023)

Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images. - Vasileios Panteris; Georgios Feretzakis; Panagiotis Karantanos; Dimitris Kalles; Vassilios S. Verykios; Maria Panoutsakou; Eirini Karagianni; Christina Zoubouli; Stefani Vgenopoulou; Aikaterini Pierrakou; Maria Theodorakopoulou; Apostolos E. Papalois; et al. (MIE, 2023)