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Nikolaos Dikaios
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2020 – today
- 2024
- [j9]Konstantinos Kalimeris, Türker Özsari, Nikolaos Dikaios:
Numerical Computation of Neumann Controls for the Heat Equation on a Finite Interval. IEEE Trans. Autom. Control. 69(1): 161-173 (2024) - [j8]Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang:
Is Attention all You Need in Medical Image Analysis? A Review. IEEE J. Biomed. Health Informatics 28(3): 1398-1411 (2024) - [i4]Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George A. Kastis, Michael Bussmann, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou:
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. CoRR abs/2408.05249 (2024) - 2023
- [i3]Giorgos Papanastasiou, Nikolaos Dikaios, Jiahao Huang, Chengjia Wang, Guang Yang:
Is attention all you need in medical image analysis? A review. CoRR abs/2307.12775 (2023) - 2022
- [j7]Nicholas E. Protonotarios, Athanassios S. Fokas, George A. Kastis, Nikolaos Dikaios:
Sigmoid and Beyond: Algebraic Activation Functions for Artificial Neural Networks Based on Solutions of a Riccati Equation. IT Prof. 24(5): 30-36 (2022) - [j6]Nicholas E. Protonotarios, Evangelia Tzampazidou, George A. Kastis, Nikolaos Dikaios:
Discrete Shearlets as a Sparsifying Transform in Low-Rank Plus Sparse Decomposition for Undersampled (k, t)-Space MR Data. J. Imaging 8(2): 29 (2022) - 2021
- [i2]Gavrielle R. Untracht, Rolando Matos, Nikolaos Dikaios, Mariam Bapir, Abdullah K. Durrani, Teemapron Butsabong, Paola Campagnolo, David D. Sampson, Christian Heiss, Danuta M. Sampson:
OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images. CoRR abs/2109.01835 (2021) - [i1]Konstantinos Kalimeris, Türker Özsari, Nikolaos Dikaios:
Numerical computation of Neumann controllers for the heat equation on a finite interval. CoRR abs/2110.01036 (2021) - 2020
- [j5]Nikolaos Dikaios:
Stochastic Gradient Langevin dynamics for joint parameterization of tracer kinetic models, input functions, and T1 relaxation-times from undersampled k-space DCE-MRI. Medical Image Anal. 62: 101690 (2020)
2010 – 2019
- 2017
- [j4]Nikolaos Dikaios, David Atkinson, Chiara Tudisca, Pierpaolo Purpura, Martin Forster, Hashim Uddin Ahmed, Timothy Beale, Mark Emberton, Shonit Punwani:
A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis. Comput. Medical Imaging Graph. 56: 1-10 (2017) - 2014
- [j3]Valentin Hamy, Nikolaos Dikaios, Shonit Punwani, Andrew Melbourne, Arash Latifoltojar, Jesica Makanyanga, Manil Chouhan, Emma Helbren, Alex Menys, Stuart Taylor, David Atkinson:
Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI. Medical Image Anal. 18(2): 301-313 (2014) - [j2]Nikolaos Dikaios, Simon R. Arridge, Valentin Hamy, Shonit Punwani, David Atkinson:
Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI. Medical Image Anal. 18(7): 989-1001 (2014) - [j1]Benjamin Trémoulhéac, Nikolaos Dikaios, David Atkinson, Simon R. Arridge:
Dynamic MR Image Reconstruction-Separation From Undersampled (${\bf k}, t$)-Space via Low-Rank Plus Sparse Prior. IEEE Trans. Medical Imaging 33(8): 1689-1701 (2014) - [c1]Valentin Hamy, Marc Modat, Rebecca Shipley, Nikolaos Dikaios, Jon O. Cleary, Shonit Punwani, Sébastien Ourselin, David Atkinson, Andrew Melbourne:
Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function. Medical Imaging: Image Processing 2014: 90340R
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