Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Katramados Ioannis"'
Autor:
Reali Luca, Ellis William M.E., Gray Ander, Boleininger Max, Davis Andrew, Brooks Helen M., Katramados Ioannis, Thornton Andrew J., Buchanan James, Dudarev Sergei L.
Publikováno v:
EPJ Web of Conferences, Vol 302, p 06002 (2024)
A finite-element method (FEM) model for the Mega-Ampere Spherical Tokamak - Upgrade (MAST-U) fusion tokamak has been developed to evaluate stress and deformations in the full device structure and to assess the stability of the whole tokamak with resp
Externí odkaz:
https://doaj.org/article/3ae8f487d0234d838c3daa7ef4227b91
Adversarial attacks consist in maliciously changing the input data to mislead the predictions of automated decision systems and are potentially a serious threat for automated medical image analysis. Previous studies have shown that it is possible to
Externí odkaz:
http://arxiv.org/abs/2104.00139
Autor:
Bortsova, Gerda, González-Gonzalo, Cristina, Wetstein, Suzanne C., Dubost, Florian, Katramados, Ioannis, Hogeweg, Laurens, Liefers, Bart, van Ginneken, Bram, Pluim, Josien P. W., Veta, Mitko, Sánchez, Clara I., de Bruijne, Marleen
Publikováno v:
Medical Image Analysis. Available online 18 Jun 2021
Adversarial attacks are considered a potentially serious security threat for machine learning systems. Medical image analysis (MedIA) systems have recently been argued to be vulnerable to adversarial attacks due to strong financial incentives and the
Externí odkaz:
http://arxiv.org/abs/2006.06356
Publikováno v:
In proceedings of Medical Image Computing and Computer Assisted Intervention - MICCAI 2019
The scarcity of labeled data often limits the application of supervised deep learning techniques for medical image segmentation. This has motivated the development of semi-supervised techniques that learn from a mixture of labeled and unlabeled image
Externí odkaz:
http://arxiv.org/abs/1911.01218
Modern optical flow methods make use of salient scene feature points detected and matched within the scene as a basis for sparse-to-dense optical flow estimation. Current feature detectors however either give sparse, non uniform point clouds (resulti
Externí odkaz:
http://arxiv.org/abs/1901.09971
Autor:
Bortsova, Gerda, Dubost, Florian, Ørting, Silas, Katramados, Ioannis, Hogeweg, Laurens, Thomsen, Laura, Wille, Mathilde, de Bruijne, Marleen
We propose an end-to-end deep learning method that learns to estimate emphysema extent from proportions of the diseased tissue. These proportions were visually estimated by experts using a standard grading system, in which grades correspond to interv
Externí odkaz:
http://arxiv.org/abs/1807.08601
Autor:
Bortsova, Gerda, González-Gonzalo, Cristina, Wetstein, Suzanne C., Dubost, Florian, Katramados, Ioannis, Hogeweg, Laurens, Liefers, Bart, van Ginneken, Bram, Pluim, Josien P.W., Veta, Mitko, Sánchez, Clara I., de Bruijne, Marleen
Publikováno v:
In Medical Image Analysis October 2021 73
Autor:
Milnes, Joe, Ayed, Nizar Ben, Dhalla, Fahim, Fishpool, Geoff, Hill, John, Katramados, Ioannis, Martin, Richard, Naylor, Graham, O'Gorman, Tom, Scannell, Rory, team, the MAST Upgrade
Publikováno v:
Fusion Engineering and Design, Vol.96-97, October 2015, pp.42-47
The Mega Amp Spherical Tokamak (MAST) is the centre piece of the UK fusion research programme. In 2010, a MAST Upgrade programme was initiated with three primary objectives, to contribute to: 1) Testing reactor concepts (in particular exhaust solutio
Externí odkaz:
http://arxiv.org/abs/1503.06677
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