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Virginia F. J. Newcombe
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2020 – today
- 2024
- [i6]Wentian Xu, Matthew Moffat, Thalia Seale, Ziyun Liang, Felix Wagner
, Daniel Whitehouse, David K. Menon, Virginia F. J. Newcombe, Natalie Voets, Abhirup Banerjee, Konstantinos Kamnitsas:
Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. CoRR abs/2405.18511 (2024) - 2021
- [j5]Jianning Li
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c6]Konstantinos Kamnitsas
Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. DART/FAIR@MICCAI 2021: 79-89 - [i5]Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker:
Transductive image segmentation: Self-training and effect of uncertainty estimation. CoRR abs/2107.08964 (2021) - 2020
- [c5]Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante:
Cranial Implant Design via Virtual Craniectomy with Shape Priors. AutoImplant@MICCAI 2020: 37-46 - [c4]Franco Matzkin
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. MICCAI (2) 2020: 390-399 - [i4]Franco Matzkin, Virginia F. J. Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante:
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. CoRR abs/2007.03817 (2020) - [i3]Franco Matzkin, Virginia F. J. Newcombe, Ben Glocker, Enzo Ferrante:
Cranial Implant Design via Virtual Craniectomy with Shape Priors. CoRR abs/2009.13704 (2020)
2010 – 2019
- 2019
- [j4]Adil Umer
A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury. IEEE J. Biomed. Health Informatics 23(3): 1261-1268 (2019) - [c3]Miguel Monteiro, Konstantinos Kamnitsas
TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. BrainLes@MICCAI (1) 2019: 13-22 - 2017
- [j3]Konstantinos Kamnitsas
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Medical Image Anal. 36: 61-78 (2017) - [c2]Konstantinos Kamnitsas
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. IPMI 2017: 597-609 - 2016
- [i2]Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Daniel Rueckert, Ben Glocker:
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation. CoRR abs/1603.05959 (2016) - [i1]Konstantinos Kamnitsas, Christian F. Baumgartner, Christian Ledig, Virginia F. J. Newcombe, Joanna P. Simpson, Andrew D. Kane, David K. Menon, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker:
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks. CoRR abs/1612.08894 (2016) - 2015
- [j2]Christian Ledig
Robust whole-brain segmentation: Application to traumatic brain injury. Medical Image Anal. 21(1): 40-58 (2015) - 2014
- [c1]Anil Rao, Christian Ledig, Virginia F. J. Newcombe, David K. Menon, Daniel Rueckert:
Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework. ISBI 2014: 333-336 - 2011
- [j1]Marta Morgado Correia
Contrast-to-noise ratios for indices of anisotropy obtained from diffusion MRI: A study with standard clinical b-values at 3 T. NeuroImage 57(3): 1103-1115 (2011)
Coauthor Index
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