Two-Compartment Models of the Diffusion MR Signal in Brain White Matter. - Eleftheria Panagiotaki; Hubert M. J. Fonteijn; Bernard Siow; Matt G. Hall; Anthony Price; Mark F. Lythgoe; Daniel C. Alexander (MICCAI (1), 2009)

High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations. - Eleftheria Panagiotaki; Matt G. Hall; Hui Zhang 005; Bernard Siow; Mark F. Lythgoe; Daniel C. Alexander (MICCAI (2), 2010)

Geometric models of brain white matter for microstructure imaging with diffusion MRI. - Eleftheria Panagiotaki (2011)

Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison. - Eleftheria Panagiotaki; Torben Schneider; Bernard Siow; Matt G. Hall; Mark F. Lythgoe; Daniel C. Alexander (NeuroImage, 2012)

Ranking diffusion-MRI models with in-vivo human brain data. - Uran Ferizi; Torben Schneider; Eleftheria Panagiotaki; Gemma L. Nedjati-Gilani; Hui Gary Zhang; Claudia A. M. Wheeler-Kingshott; Daniel C. Alexander (ISBI, 2013)

Modelling Vascularity in Breast Cancer and Surrounding Stroma Using Diffusion MRI and Intravoxel Incoherent Motion. - Colleen Bailey; Sarah Vinnicombe; Eleftheria Panagiotaki; Shelley A. Waugh; John H. Hipwell; Daniel C. Alexander; Kathryn Kitching; Patsy J. Whelehan; Sarah E. Pinder; Andrew Evans; David J. Hawkes (Digital Mammography / IWDM, 2014)

Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields. - Joseph G. Jacobs; Eleftheria Panagiotaki; Daniel C. Alexander (MLMI, 2014)

Detecting and Classifying Nuclei on a Budget. - Joseph G. Jacobs; Gabriel J. Brostow; Alex Freeman; Daniel C. Alexander; Eleftheria Panagiotaki (CVII-STENT/LABELS@MICCAI, 2017)

Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks. - Eleni Chiou; Francesco Giganti; Elisenda Bonet-Carne; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (MLMI@MICCAI, 2018)

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation. - Eleni Chiou; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (MICCAI (1), 2020)

Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. - Vanya V. Valindria; Marco Palombo; Eleni Chiou; Saurabh Singh; Shonit Punwani; Eleftheria Panagiotaki (ISBI, 2021)

Unsupervised Domain Adaptation with Semantic Consistency Across Heterogeneous Modalities for MRI Prostate Lesion Segmentation. - Eleni Chiou; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (DART/FAIR@MICCAI, 2021)

Synthesizing VERDICT Maps from Standard DWI Data Using GANs. - Eleni Chiou; Vanya V. Valindria; Francesco Giganti; Shonit Punwani; Iasonas Kokkinos; Eleftheria Panagiotaki (CDMRI@MICCAI, 2021)

Beyond Deterministic Translation for Unsupervised Domain Adaptation. - Eleni Chiou; Eleftheria Panagiotaki; Iasonas Kokkinos (BMVC, 2022)

Learning to Downsample for Segmentation of Ultra-High Resolution Images. - Chen Jin; Ryutaro Tanno; Thomy Mertzanidou; Eleftheria Panagiotaki; Daniel C. Alexander (ICLR, 2022)

ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation. - Snigdha Sen; Saurabh Singh; Hayley Pye; Caroline M. Moore; Hayley C. Whitaker; Shonit Punwani; David Atkinson; Eleftheria Panagiotaki; Paddy J. Slator (CoRR, 2023)