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Stavros Tsantis

Researcher at University of Patras

Publications -  29
Citations -  614

Stavros Tsantis is an academic researcher from University of Patras. The author has contributed to research in topics: Wavelet & Wavelet transform. The author has an hindex of 14, co-authored 28 publications receiving 488 citations. Previous affiliations of Stavros Tsantis include University of Dundee & Technological Educational Institute of Athens.

Papers
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Journal ArticleDOI

Automatic vessel lumen segmentation and stent strut detection in intravascular optical coherence tomography.

Stavros Tsantis, +5 more
- 30 Dec 2011 - 
TL;DR: A robust automatic segmentation technique integrating textural and edge information for vessel lumen border extraction and strut detection in intravascular OCT images was designed and presented and may be employed for automated quantitative morphological analysis of in-stent neointimal hyperplasia.
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A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography

Ilias Gatos, +9 more
- 01 Sep 2017 - 
TL;DR: New objective parameters and criteria for CLD diagnosis employing SWE images provided by the present study can be considered an important step toward color-based interpretation, and could assist radiologists' diagnostic performance on a daily basis after being installed in a PC and employed retrospectively, immediately after the examination.
Journal ArticleDOI

Morphological and wavelet features towards sonographic thyroid nodules evaluation

Stavros Tsantis, +3 more
- 01 Mar 2009 - 
TL;DR: A computer-based classification scheme that utilized various morphological and novel wavelet-based features towards malignancy risk evaluation of thyroid nodules in ultrasonography is presented.
Journal ArticleDOI

A hybrid multi-scale model for thyroid nodule boundary detection on ultrasound images

Stavros Tsantis, +3 more
- 01 Dec 2006 - 
TL;DR: A hybrid model for thyroid nodule boundary detection on ultrasound images is introduced that can be of value to thyroid nodules' shape-based classification and as an educational tool for inexperienced radiologists.
Journal ArticleDOI

Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment

Ilias Gatos, +9 more
- 01 May 2019 - 
TL;DR: The authors' detection algorithm excludes unreliable areas in SWE images, reduces interobserver variability, and augments CNN's accuracy scores for many combinations of fibrosis stages.