A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI. - Mark S. Graham; Ivana Drobnjak; Hui Zhang 005 (IPMI, 2015)

Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. - Jesper L. R. Andersson; Mark S. Graham; Eniko Zsoldos; Stamatios N. Sotiropoulos (NeuroImage, 2016)

Realistic simulation of artefacts in diffusion MRI for validating post-processing correction techniques. - Mark S. Graham; Ivana Drobnjak; Hui Zhang 005 (NeuroImage, 2016)

Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement. - Jesper L. R. Andersson; Mark S. Graham; Ivana Drobnjak; Hui Zhang 005; Nicola Filippini; Matteo Bastiani (NeuroImage, 2017)

Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data. - Jesper L. R. Andersson; Mark S. Graham; Ivana Drobnjak; Hui Zhang 005; Jon Campbell (NeuroImage, 2018)

A supervised learning approach for diffusion MRI quality control with minimal training data. - Mark S. Graham; Ivana Drobnjak; Hui Zhang 005 (NeuroImage, 2018)

Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data. - Kanwal K. Bhatia; Mark S. Graham; Louise Terry; Ashley Wood; Paris Tranos; Sameer Trikha; Nicolas Jaccard (CoRR, 2019)

Hierarchical Brain Parcellation with Uncertainty. - Mark S. Graham; Carole H. Sudre; Thomas Varsavsky; Petru-Daniel Tudosiu; Parashkev Nachev; Sébastien Ourselin; Manuel Jorge Cardoso (UNSURE/GRAIL@MICCAI, 2020)

Test-Time Unsupervised Domain Adaptation. - Thomas Varsavsky; Mauricio Orbes-Arteaga; Carole H. Sudre; Mark S. Graham; Parashkev Nachev; M. Jorge Cardoso (MICCAI (1), 2020)

Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. - Petru-Daniel Tudosiu; Thomas Varsavsky; Richard Shaw; Mark S. Graham; Parashkev Nachev; Sébastien Ourselin; Carole H. Sudre; M. Jorge Cardoso (CoRR, 2020)

Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. - Benjamin Murray; Eric Kerfoot; Mark S. Graham; Carole H. Sudre; Erika Molteni; Liane S. Canas; Michela Antonelli; Alessia Visconti; Andrew T. Chan; Paul W. Franks; Richard Davies; Jonathan Wolf; et al. (CoRR, 2020)

Can Segmentation Models Be Trained with Fully Synthetically Generated Data? - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Petru-Daniel Tudosiu; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso (SASHIMI@MICCAI, 2022)

Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning. - Antoine Legouhy; Mark S. Graham; Michele Guerreri; Whitney Stee; Thomas Villemonteix; Philippe Peigneux; Hui Zhang 005 (CDMRI@MICCAI, 2022)

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. - Walter H. L. Pinaya; Mark S. Graham; Robert J. Gray; Pedro F. Da Costa; Petru-Daniel Tudosiu; Paul Wright 001; Yee-Haur Mah; Andrew D. MacKinnon; James T. Teo; Hans Rolf Jäger; David Werring; Geraint Rees 001; et al. (MICCAI (8), 2022)

Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. - Petru-Daniel Tudosiu; Walter Hugo Lopez Pinaya; Mark S. Graham; Pedro Borges; Virginia Fernandez; Dai Yang; Jeremy Appleyard; Guido Novati; Disha Mehra; Mike Vella; Parashkev Nachev; Sébastien Ourselin; et al. (SASHIMI@MICCAI, 2022)

Transformer-based out-of-distribution detection for clinically safe segmentation. - Mark S. Graham; Petru-Daniel Tudosiu; Paul Wright 001; Walter Hugo Lopez Pinaya; Jean-Marie U.-King-Im; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MIDL, 2022)

Denoising diffusion models for out-of-distribution detection. - Mark S. Graham; Walter H. L. Pinaya; Petru-Daniel Tudosiu; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (CVPR Workshops, 2023)

Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. - Ashay Patel; Petru-Daniel Tudosiu; Walter H. L. Pinaya; Mark S. Graham; Olusola Adeleke; Gary J. Cook; Vicky Goh; Sébastien Ourselin; M. Jorge Cardoso (ICCV (Workshops), 2023)

A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Tom Vercauteren; M. Jorge Cardoso (DGM4MICCAI, 2023)

Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. - Mark S. Graham; Walter Hugo Lopez Pinaya; Paul Wright 001; Petru-Daniel Tudosiu; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (MICCAI (1), 2023)

Generative AI for Medical Imaging: extending the MONAI Framework. - Walter H. L. Pinaya; Mark S. Graham; Eric Kerfoot; Petru-Daniel Tudosiu; Jessica Dafflon; Virginia Fernandez; Pedro Sanchez; Julia Wolleb; Pedro F. Da Costa; Ashay Patel; Hyungjin Chung; Can Zhao 001; et al. (CoRR, 2023)

Latent Transformer Models for out-of-distribution detection. - Mark S. Graham; Petru-Daniel Tudosiu; Paul Wright 001; Walter Hugo Lopez Pinaya; Petteri Teikari; Ashay Patel; Jean-Marie U.-King-Im; Yee-Haur Mah; James T. Teo; Hans Rolf Jäger; David Werring; Geraint Rees 001; et al. (Medical Image Anal., 2023)

Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models. - Ashay Patel; Mark S. Graham; Vicky Goh; Sébastien Ourselin; M. Jorge Cardoso (MIDL, 2024)

Generating multi-pathological and multi-modal images and labels for brain MRI. - Virginia Fernandez; Walter Hugo Lopez Pinaya; Pedro Borges; Mark S. Graham; Petru-Daniel Tudosiu; Tom Vercauteren; M. Jorge Cardoso (Medical Image Anal., 2024)

Realistic morphology-preserving generative modelling of the brain. - Petru-Daniel Tudosiu; Walter H. L. Pinaya; Pedro Ferreira Da Costa; Jessica Dafflon; Ashay Patel; Pedro Borges; Virginia Fernandez; Mark S. Graham; Robert J. Gray; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (Nat. Mac. Intell., 2024)