Mark S. Graham

34 papers Journal 21Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Generating multi-pathological and multi-modal images and labels for brain MRI. Medical Image Anal. Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Petru-Daniel Tudosiu, Tom Vercauteren, M. Jorge Cardoso
2024	J	`jnl`	Realistic morphology-preserving generative modelling of the brain. Nat. Mac. Intell. 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
2024	—	`conf`	Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models. MIDL Ashay Patel, Mark S. Graham, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. DGM4MICCAI Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2023	J	`jnl`	A 3D generative model of pathological multi-modal MR images and segmentations. CoRR Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2023	—	`conf`	Denoising diffusion models for out-of-distribution detection. CVPR Workshops Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR 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, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Latent Transformer Models for out-of-distribution detection. Medical Image Anal. Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. ICCV (Workshops) Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. MICCAI (1) Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Can Segmentation Models Be Trained with Fully Synthetically Generated Data? SASHIMI@MICCAI Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2022	J	`jnl`	Can segmentation models be trained with fully synthetically generated data? CoRR Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2022	—	`conf`	Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning. CDMRI@MICCAI Antoine Legouhy, Mark S. Graham, Michele Guerreri, Whitney Stee, Thomas Villemonteix, Philippe Peigneux, Hui Zhang
2022	J	`jnl`	Denoising Diffusion Models for Out-of-Distribution Detection. CoRR Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 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, M. Jorge Cardoso
2022	J	`jnl`	Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR 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, Jorge Cardoso
2022	—	`conf`	Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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
2022	J	`jnl`	Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, 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
2020	J	`jnl`	Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. CoRR 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, Tim D. Spector, Claire J. Steves, Marc Modat, Sébastien Ourselin
2020	—	`conf`	Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso
2020	J	`jnl`	Hierarchical brain parcellation with uncertainty. CoRR Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	J	`jnl`	Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso
2020	—	`conf`	Test-Time Unsupervised Domain Adaptation. MICCAI (1) Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
2020	J	`jnl`	Test-time Unsupervised Domain Adaptation. CoRR Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
2019	J	`jnl`	Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data. CoRR Kanwal K. Bhatia, Mark S. Graham, Louise Terry, Ashley Wood, Paris Tranos, Sameer Trikha, Nicolas Jaccard
2018	J	`jnl`	A supervised learning approach for diffusion MRI quality control with minimal training data. NeuroImage Mark S. Graham, Ivana Drobnjak, Hui Zhang
2018	J	`jnl`	Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data. NeuroImage Jesper L. R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang, Jon Campbell
2017	J	`jnl`	Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement. NeuroImage Jesper L. R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang, Nicola Filippini, Matteo Bastiani
2016	J	`jnl`	Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. NeuroImage Jesper L. R. Andersson, Mark S. Graham, Eniko Zsoldos, Stamatios N. Sotiropoulos
2016	J	`jnl`	Realistic simulation of artefacts in diffusion MRI for validating post-processing correction techniques. NeuroImage Mark S. Graham, Ivana Drobnjak, Hui Zhang
2015	—	`conf`	A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI. IPMI Mark S. Graham, Ivana Drobnjak, Hui Zhang