scinapse is loading now...
Christos N. Schizas
University of Cyprus
128Publications
17H-index
1,307Citations
Publications 128
Newest
Published on Oct 4, 2018 in International Conference on Artificial Neural Networks
Savvas Karatsiolis1
Estimated H-index: 1
(University of Cyprus),
Christos N. Schizas17
Estimated H-index: 17
(University of Cyprus),
Nicolai Petkov25
Estimated H-index: 25
(University of Groningen)
We present a method for constructing and training a deep domain-to-domain translation network: two datasets describing the same classes (i.e. the source and target domains) are used to train a deep network that can translate a pattern coming from the source domain to its counterpart form in the target domain. We introduce the development of a hierarchical architecture that encapsulates information of the target domain by embedding individually trained networks. This deep hierarchical architectur...
Source Cite
Published on Apr 1, 2018in Ultrasound in Obstetrics & Gynecology 5.65
Andreas Neocleous2
Estimated H-index: 2
(University of Cyprus),
Argyro Syngelaki40
Estimated H-index: 40
(University of Cambridge)
+ 1 AuthorsChristos N. Schizas17
Estimated H-index: 17
(University of Cyprus)
Objective To estimate the risk for fetal trisomy 21 (T21) and other chromosomal abnormalities at 11-13 week's gestation using computational intelligence classification methods. Methods As a first step, we train the artificial neural networks with 72054 euploid pregnancies, 295 cases of T21 and 305 of other chromosomal abnormalities (OCA). Then, we sort the cases into two categories of “no-risk” and “risk”. The cases of “no-risk” are no further examined, while the cases with “risk” are forwarded ...
2 Citations Source Cite
Andreas Neocleous2
Estimated H-index: 2
(University of Groningen),
K. H. Ntcolatdes130
Estimated H-index: 130
(University of Cambridge),
Christos N. Schizas17
Estimated H-index: 17
(University of Cyprus)
The objective of this paper is to introduce a noninvasive diagnosis procedure for aneuploidy and to minimize the social and financial cost of prenatal diagnosis tests that are performed for fetal aneuploidies in an early stage of pregnancy. We propose a method by using artificial neural networks trained with data from singleton pregnancy cases, while undergoing first trimester screening. Three different datasets 1 with a total of 122 362 euploid and 967 aneuploid cases were used in this study. T...
3 Citations Source Cite
Published on May 1, 2017 in International Joint Conference on Neural Network
Andreas Neocleous2
Estimated H-index: 2
(University of Groningen),
Costas Neocleous5
Estimated H-index: 5
(University of Cyprus)
+ 2 AuthorsNicolai Petkov25
Estimated H-index: 25
(University of Groningen)
In this work we explore the relevance of markers that are used for the early detection of fetal chromosomal abnormalities. For medical applications, it is important to optimize the number of used markers with respect to the number of necessary clinical examinations. We use the Generalized Matrix Learning Vector Quantization (GMLVQ) method to identify the most relevant markers from a set of 18 clinical examinations. We cross-validated our results using ten different training and test sets and we ...
Source Cite
Published on Mar 1, 2017in Health technology
Athos Antoniades6
Estimated H-index: 6
,
Constantinos S. Pattichis34
Estimated H-index: 34
(University of Cyprus)
+ 1 AuthorsPanagiotis D. Bamidis27
Estimated H-index: 27
(Aristotle University of Thessaloniki)
3 Citations Source Cite
Published on Mar 1, 2017in Health technology
Christos N. Schizas17
Estimated H-index: 17
(University of Cyprus)
Source Cite
Published on Sep 1, 2016 in Wearable and Implantable Body Sensor Networks
Andreas Neocleous2
Estimated H-index: 2
,
K. H. Ntcolatdes130
Estimated H-index: 130
(King's College London),
Christos N. Schizas17
Estimated H-index: 17
(University of Cyprus)
The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for euploidy, trisomy 21 (T21), and other chromosomal aneuploidies (O.C.A.), from suitable sonographic, biochemical markers, and other relevant data. A database(1) consisted of 51,208 singleton pregnancy cases, while undergoing first trimester screening for aneuploidies has been use...
5 Citations Source Cite
Published on Jan 1, 2016
Savvas Karatsiolis1
Estimated H-index: 1
(University of Cyprus),
Christos N. Schizas17
Estimated H-index: 17
(University of Cyprus)
An original classification algorithm is proposed for dealing with extremely imbalanced datasets that often appear in biomedical problems. Its originality comes from the way a neural network is trained in order to get a decent hypothesis out of a dataset that comprises of a huge sized majority class and a tiny size minority class. This situation is especially probable when forming machine learning databases describing rare medical conditions. The algorithm is tested on a large dataset in order to...
Source Cite
Published on Jan 1, 2016
Andreas Neocleous2
Estimated H-index: 2
,
Costas Neocleous5
Estimated H-index: 5
(Cyprus University of Technology)
+ 2 AuthorsChristos N. Schizas17
Estimated H-index: 17
(University of Cyprus)
The early detection of fetal chromosomal abnormalities such as aneuploidies, has been an important subject in medicine over the last thirty years. A pregnant woman is advised by the doctor to perform an amniocentesis test, after the identification of increased risk for fetal aneuploidy. Even though the amniocentesis test is almost perfectly accurate, it has several drawbacks. It is an invasive test with around 1% risk for miscarriage; it is financially expensive and requires laboratories and spe...
1 Citations Source Cite
Published on Jan 1, 2016
Maria Papaioannou2
Estimated H-index: 2
(University of Cyprus),
Costas Neocleous5
Estimated H-index: 5
(University of Cyprus),
Christos N. Schizas17
Estimated H-index: 17
(University of Cyprus)
A fuzzy Diagnostic Decision Support System (DDSS) has been developed, exploiting the possibilities of a specific algorithm which transforms a crisp dataset into fuzzy. The purpose of the developed fuzzy DDSS is the diagnosis of fetuses with Trisomy 21 (T21). The main reason behind the selection of this diagnosis problem is the need of sonographers to escape the preconditions of having specialized screening systems and being highly precise during prenatal screening tests. With the help of an inte...
Source Cite
12345678910