Glocker, B.'s publications with sinc(i)

13 publications
 
Publications in 2020
Cranial Implant Design via Virtual Craniectomy with Shape Priors   sinc_MNGF20.pdf
F. Matzkin, V. F. J. Newcombe, B. Glocker, E. Ferrante
Towards the Automatization of Cranial Implant Design in Cranioplasty, page 37--46 - 2020
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study   sinc_MNMKFDWRMG20.doi
M. Monteiro, V. F. J. Newcombe, F. Mathieu, Kamnitsas K., E. Ferrante, T. Das, K. Adatia, D. Rueckert, D. K. Menon, B. Glocker
The Lancet Digital Health, Volume 2, Number 6, page 314--322 - 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders   sinc_LMGF20.doi sinc_LMGF20.pdf
A. Larrazabal, C. E. Martínez, B. Glocker, E. Ferrante
IEEE Transactions on Medical Imaging - 2020
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy   sinc_MNSKNDSGF20.pdf
F. Matzkin, V. F. J. Newcombe, S. Stevenson, A. Khetani, T. Newman, R. Digby, A. Stevens, B. Glocker, E. Ferrante
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2020, page 390--399 - 2020
 
Publications in 2018
Disease prediction using graph convolutional networks: application to autism spectrum disorder and alzheimer’s disease.   sinc_PKFLGGR18.doi sinc_PKFLGGR18.pdf
S. Parisot, S. I. Ktena, E. Ferrante, M. Lee, R. Guerrero, B. Glocker, D. Rueckert
Medical Image Analysis - 2018
On the adaptability of unsupervised cnn-based deformable image registration to unseen image domains   sinc_FOGM18.pdf
E. Ferrante, O. Oktay, B. Glocker, D. H. Milone
International Workshop on Machine Learning in Medical Imaging, page 294--302 - 2018
 
Publications in 2017
Anatomically Constrained Neural Networks (ACNN): Application to cardiac image enhancement and segmentation   sinc_OFKHBCGCMDOKGR17.pdf
O. Oktay, E. Ferrante, K. Kamnitsas, M. Heinrich, W. Bai, J. Caballero, R. Guerrero, S. Cook, A. Marvao, T. Dawes, D. O Regan, B. Kainz, B. Glocker, D. Rueckert
IEEE Transactions on Medical Imaging - 2017
Distance metric learning using graph convolutional networks: Application to functional brain networks   sinc_KPFRLGR17.pdf
S. I. Ktena, S. Parisot, E. Ferrante, M. Rajchl, M. Lee, B. Glocker, D. Rueckert
International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) - 2017
Ensembles of multiple models and architectures for robust brain tumour segmentation   sinc_KBFMSPRLKRG18.pdf
K. Kamnitsas, W. Bai, E. Ferrante, S. McDonagh, M. Sinclair, N. Pawlowski, M. Rajchl, M. Lee, B. Kainz, D. Rueckert, B. Glocker
MICCAI BrainLes 2017 - 2017
Metric learning with spectral graph convolutions on brain connectivity networks   sinc_KPFRLGR17a.doi sinc_KPFRLGR17a.pdf
S. I. Ktena, S. Parisot, E. Ferrante, M. Rajchl, M. Lee, B. Glocker, D. Rueckert
NeuroImage - 2017
Spectral graph convolutions for population-based disease prediction   sinc_PKFLGGR17.pdf
S. Parisot, S. I. Ktena, E. Ferrante, M. Lee, R. Guerrero Moreno, B. Glocker, D. Rueckert
International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) - 2017
 
Publications in 2016
(Hyper)-graphical models in biomedical image analysis   sinc_PFGKPZ16.pdf
N. Paragios, E. Ferrante, B. Glocker, N. Komodakis, S. Parisot, E. I. Zacharaki
Medical Image Analysis, page 102--106 - 2016
DeepMedic for brain tumor segmentation   sinc_KFPLNCRG17a.pdf
K. Kamnitsas, E. Ferrante, S. Parisot, C. Ledig, A. V. Nori, A. Criminisi, D. Rueckert, B. Glocker
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injurie, page 138--149 - 2016

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