Search Results for author: Nicholas Vretos

Found 4 papers, 1 papers with code

Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans

1 code implementation10 Sep 2020 Paschalis Bizopoulos, Nicholas Vretos, Petros Daras

In this paper, an extensive comparison of DL models for lung and COVID-19 lesion segmentation in Computerized Tomography (CT) scans is presented, which can also be used as a benchmark for testing medical image segmentation models.

Image Segmentation Lesion Segmentation +2

An Improved Tobit Kalman Filter with Adaptive Censoring Limits

no code implementations14 Nov 2019 Kostas Loumponias, Nicholas Vretos, George Tsaklidis, Petros Daras

Firstly, the exact covariance matrix of the censored measurements is calculated by taking into account the censoring limits.

Non-linear Convolution Filters for CNN-based Learning

no code implementations ICCV 2017 Georgios Zoumpourlis, Alexandros Doumanoglou, Nicholas Vretos, Petros Daras

However, while recent research results of neuroscience prove the existence of non-linear operations in the response of complex visual cells, little effort has been devoted to extend the convolution technique to non-linear forms.

Image Classification

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