default search action
Robert J. Gray
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j5]James K. Ruffle
, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
Computational limits to the legibility of the imaged human brain. NeuroImage 291: 120600 (2024) - 2023
- [j4]Guilherme Pombo
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. 84: 102723 (2023) - [c5]Dominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle
InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data. ML4MHD 2023: 172-188 - [i16]Guilherme Pombo, Robert J. Gray, Amy P. K. Nelson, Chris Foulon, John Ashburner, Parashkev Nachev:
Deep Variational Lesion-Deficit Mapping. CoRR abs/2305.17478 (2023) - [i15]Tobias Goodwin-Allcock, Ting Gong, Robert J. Gray, Parashkev Nachev, Hui Zhang:
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols. CoRR abs/2307.01346 (2023) - [i14]Amy PK Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev:
The minimal computational substrate of fluid intelligence. CoRR abs/2308.07039 (2023) - [i13]James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev:
The legibility of the imaged human brain. CoRR abs/2309.07096 (2023) - [i12]James K. Ruffle, Henry C. Watkins, Robert J. Gray, Harpreet Hyare, Michel Thiebaut de Schotten, Parashkev Nachev:
Compressed representation of brain genetic transcription. CoRR abs/2310.16113 (2023) - 2022
- [j3]Walter H. L. Pinaya
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. 79: 102475 (2022) - [j2]Amy P. K. Nelson
Deep forecasting of translational impact in medical research. Patterns 3(5): 100483 (2022) - [c4]Tobias Goodwin-Allcock
How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? CDMRI@MICCAI 2022: 101-112 - [c3]Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) 2022: 705-714 - [d1]Robert J. Gray, Matthew Graham
3d_very_deep_vae. Zenodo, 2022 - [i11]Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR abs/2206.03461 (2022) - [i10]James K. Ruffle, Samia Mohinta, Robert J. Gray, Harpreet Hyare, Parashkev Nachev:
Translating automated brain tumour phenotyping to clinical neuroimaging. CoRR abs/2206.06120 (2022) - [i9]Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang:
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation? CoRR abs/2207.00572 (2022) - 2021
- [c2]Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL 2021: 596-617 - [i8]Walter Hugo Lopez Pinaya
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR abs/2102.11650 (2021) - [i7]Henry C. Watkins, Robert J. Gray, Ashwani Jha
An artificial intelligence natural language processing pipeline for information extraction in neuroradiology. CoRR abs/2107.10021 (2021) - [i6]Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev:
Deep forecasting of translational impact in medical research. CoRR abs/2110.08904 (2021) - [i5]Anthony Bourached, Robert J. Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev:
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. CoRR abs/2111.12602 (2021) - [i4]Guilherme Pombo, Robert J. Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev:
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. CoRR abs/2111.14923 (2021) - 2020
- [i3]Anthony Bourached, Ryan-Rhys Griffiths, Robert J. Gray, Ashwani Jha, Parashkev Nachev:
Generative Model-Enhanced Human Motion Prediction. CoRR abs/2010.11699 (2020)
2010 – 2019
- 2019
- [c1]Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev:
Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. MICCAI (4) 2019: 429-437 - [i2]Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev:
Bayesian Volumetric Autoregressive generative models for better semisupervised learning. CoRR abs/1907.11559 (2019) - 2018
- [j1]Eli Gibson
NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. 158: 113-122 (2018) - 2017
- [i1]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. CoRR abs/1709.03485 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-07 21:34 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: