4 citations · 4 across the 2 of their papers we have counts for
4 papers
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans
Paschalis Bizopoulos, Nicholas Vretos, Petros Daras
Recently there has been an explosion in the use of Deep Learning (DL) methods for medical image segmentation. However the field's reliability is hindered by the lack of a common ba…
Multi-view adaptive graph convolutions for graph classification
Nikolas Adaloglou, Nicholas Vretos, Petros Daras
In this paper, a novel multi-view methodology for graph-based neural networks is proposed. A systematic and methodological adaptation of the key concepts of classical deep learning…
An Improved Tobit Kalman Filter with Adaptive Censoring Limits
Kostas Loumponias, Nicholas Vretos, George Tsaklidis +1
This paper deals with the Tobit Kalman filtering (TKF) process when the measurements are correlated and censored. The case of interval censoring, i.e., the case of measurements whi…
Non-linear Convolution Filters for CNN-based Learning
Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos +1
During the last years, Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in image classification. Their architectures have largely drawn inspiration b…