Eleftheria Panagiotaki

According to our database, Eleftheria Panagiotaki authored at least 16 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

2022

Learning to Downsample for Segmentation of Ultra-High Resolution Images.

Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander

Proceedings of the Tenth International Conference on Learning Representations, 2022

Beyond Deterministic Translation for Unsupervised Domain Adaptation.

Eleni Chiou, Eleftheria Panagiotaki, Iasonas Kokkinos

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Synthesizing VERDICT Maps from Standard DWI Data Using GANs.

Eleni Chiou, Vanya V. Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki

Proceedings of the Computational Diffusion MRI - 12th International Workshop, 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

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation.

Eleni Chiou, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks.

Eleni Chiou, Francesco Giganti, Elisenda Bonet-Carne, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

Detecting and Classifying Nuclei on a Budget.

Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki

Proceedings of the Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2017

2014

Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields.

Joseph G. Jacobs, Eleftheria Panagiotaki, Daniel C. Alexander

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

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

Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2013

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

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012

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

2011

Geometric models of brain white matter for microstructure imaging with diffusion MRI.

Eleftheria Panagiotaki

PhD thesis, 2011

2010

High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations.

Eleftheria Panagiotaki, Matt G. Hall, Hui Zhang, Bernard Siow, Mark F. Lythgoe, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009