Contrast-to-noise ratios for indices of anisotropy obtained from diffusion MRI: A study with standard clinical b-values at 3 T. - Marta Morgado Correia; Virginia F. J. Newcombe; Guy B. Williams (NeuroImage, 2011)

Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework. - Anil Rao; Christian Ledig; Virginia F. J. Newcombe; David K. Menon; Daniel Rueckert (ISBI, 2014)

Robust whole-brain segmentation: Application to traumatic brain injury. - Christian Ledig; Rolf A. Heckemann; Alexander Hammers; Juan Carlos López; Virginia F. J. Newcombe; Antonios Makropoulos; Jyrki Lötjönen; David K. Menon; Daniel Rueckert (Medical Image Anal., 2015)

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks. - 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 (IPMI, 2017)

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. - Konstantinos Kamnitsas; Christian Ledig; Virginia F. J. Newcombe; Joanna P. Simpson; Andrew D. Kane; David K. Menon; Daniel Rueckert; Ben Glocker (Medical Image Anal., 2017)

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation. - Miguel Monteiro; Konstantinos Kamnitsas; Enzo Ferrante; Francois Mathieu; Steven McDonagh 001; Sam Cook; Susan Stevenson; Tilak Das; Aneesh Khetani; Tom Newman; Fred Zeiler; Richard Digby; et al. (BrainLes@MICCAI (1), 2019)

A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury. - Adil Umer; Jussi Mattila; Hilkka Liedes; Juha Koikkalainen; Jyrki Lötjönen; Ari Katila; Janek Frantzen; Virginia F. J. Newcombe; Olli Tenovuo; David K. Menon; Mark J. van Gils (IEEE J. Biomed. Health Informatics, 2019)

Cranial Implant Design via Virtual Craniectomy with Shape Priors. - Franco Matzkin; Virginia F. J. Newcombe; Ben Glocker; Enzo Ferrante (AutoImplant@MICCAI, 2020)

Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy. - Franco Matzkin; Virginia F. J. Newcombe; Susan Stevenson; Aneesh Khetani; Tom Newman; Richard Digby; Andrew Stevens; Ben Glocker; Enzo Ferrante (MICCAI (2), 2020)

Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation. - 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 (DART/FAIR@MICCAI, 2021)

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. - Jianning Li 002; Pedro Pimentel; Angelika Szengel; Moritz Ehlke; Hans Lamecker; Stefan Zachow; Laura Jovani Estacio Cerquin; Christian Doenitz; Heiko Ramm; Haochen Shi; Xiaojun Chen 003; Franco Matzkin; et al. (IEEE Trans. Medical Imaging, 2021)

Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation. - Wentian Xu; Matthew Moffat; Thalia Seale; Ziyun Liang; Felix Wagner 001; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Natalie Voets; Abhirup Banerjee; Konstantinos Kamnitsas (MIDL, 2024)

Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities. - Felix Wagner 001; Wentian Xu; Pramit Saha; Ziyun Liang; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Natalie Voets; J. Alison Noble; Konstantinos Kamnitsas (WACV, 2025)

Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation. - Wentian Xu; Ziyun Liang; Harry Anthony; Yasin Ibrahim; Felix Cohen; Guang Yang; Daniel Whitehouse; David K. Menon; Virginia F. J. Newcombe; Konstantinos Kamnitsas (CoRR, 2025)