Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function. - Valentin Hamy; Marc Modat; Rebecca Shipley; Nikolaos Dikaios; Jon O. Cleary; Shonit Punwani; Sébastien Ourselin; David Atkinson; Andrew Melbourne (Image Processing, 2014)

Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI. - Nikolaos Dikaios; Simon R. Arridge; Valentin Hamy; Shonit Punwani; David Atkinson (Medical Image Anal., 2014)

Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI. - Valentin Hamy; Nikolaos Dikaios; Shonit Punwani; Andrew Melbourne; Arash Latifoltojar; Jesica Makanyanga; Manil Chouhan; Emma Helbren; Alex Menys; Stuart Taylor; David Atkinson (Medical Image Anal., 2014)

Dynamic MR Image Reconstruction-Separation From Undersampled (${ bf k}, t$)-Space via Low-Rank Plus Sparse Prior. - Benjamin Trémoulhéac; Nikolaos Dikaios; David Atkinson; Simon R. Arridge (IEEE Trans. Medical Imaging, 2014)

A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis. - Nikolaos Dikaios; David Atkinson; Chiara Tudisca; Pierpaolo Purpura; Martin Forster; Hashim Uddin Ahmed; Timothy Beale; Mark Emberton; Shonit Punwani (Comput. Medical Imaging Graph., 2017)

Stochastic Gradient Langevin dynamics for joint parameterization of tracer kinetic models, input functions, and T1 relaxation-times from undersampled k-space DCE-MRI. - Nikolaos Dikaios (Medical Image Anal., 2020)

OCTAVA: an open-source toolbox for quantitative analysis of optical coherence tomography angiography images. - Gavrielle R. Untracht; Rolando Matos; Nikolaos Dikaios; Mariam Bapir; Abdullah K. Durrani; Teemapron Butsabong; Paola Campagnolo; David D. Sampson; Christian Heiss; Danuta M. Sampson (CoRR, 2021)

Numerical computation of Neumann controllers for the heat equation on a finite interval. - Konstantinos Kalimeris; Türker Özsari; Nikolaos Dikaios (CoRR, 2021)

Sigmoid and Beyond: Algebraic Activation Functions for Artificial Neural Networks Based on Solutions of a Riccati Equation. - Nicholas E. Protonotarios; Athanassios S. Fokas; George A. Kastis; Nikolaos Dikaios (IT Prof., 2022)

Discrete Shearlets as a Sparsifying Transform in Low-Rank Plus Sparse Decomposition for Undersampled (k, t)-Space MR Data. - Nicholas E. Protonotarios; Evangelia Tzampazidou; George A. Kastis; Nikolaos Dikaios (J. Imaging, 2022)

Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review. - Anshu Ankolekar; Sebastian Boie; Maryam Abdollahyan; Emanuela Gadaleta; Seyed Alireza Hasheminasab; Guang Yang 006; Charles Beauville; Nikolaos Dikaios; George A. Kastis; Michael Bussmann; Sara Khalid; Hagen Kruger; et al. (CoRR, 2024)

Numerical Computation of Neumann Controls for the Heat Equation on a Finite Interval. - Konstantinos Kalimeris; Türker Özsari; Nikolaos Dikaios (IEEE Trans. Autom. Control., 2024)

Is Attention all You Need in Medical Image Analysis? A Review. - Giorgos Papanastasiou; Nikolaos Dikaios; Jiahao Huang; Chengjia Wang; Guang Yang 006 (IEEE J. Biomed. Health Informatics, 2024)

Intra-clustering analysis reveals tissue-specific mutational patterns. - Stamatis Choudalakis; George A. Kastis; Nikolaos Dikaios (Comput. Methods Programs Biomed., 2025)

Advancing breast, lung and prostate cancer research with federated learning. A systematic review. - Anshu Ankolekar; Sebastian Boie; Maryam Abdollahyan; Emanuela Gadaleta; Seyed Alireza Hasheminasab; Guang Yang 006; Charles Beauville; Nikolaos Dikaios; George A. Kastis; Michael Bussmann; Claude Chelala; Sara Khalid; et al. (npj Digit. Medicine, 2025)