Articles with public access mandates - Antonio CriminisiLearn more
Not available anywhere: 1
Decision forests for segmentation of the left atrium from 3D MRI
J Margeta, K McLeod, A Criminisi, N Ayache
Statistical Atlases and Computational Models of the Heart. Imaging and …, 2014
Mandates: European Commission
Available somewhere: 21
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
Mandates: Swiss National Science Foundation, US National Institutes of Health, German …
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
K Kamnitsas, C Baumgartner, C Ledig, V Newcombe, J Simpson, A Kane, ...
Information Processing in Medical Imaging: 25th International Conference …, 2017
Mandates: Academy of Medical Sciences, UK, UK Engineering and Physical Sciences …
DeepMedic for brain tumor segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
Mandates: UK Engineering and Physical Sciences Research Council
Adaptive neural trees
R Tanno, K Arulkumaran, D Alexander, A Criminisi, A Nori
International Conference on Machine Learning, 6166-6175, 2019
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Bayesian image quality transfer with CNNs: exploring uncertainty in dMRI super-resolution
R Tanno, DE Worrall, A Ghosh, E Kaden, SN Sotiropoulos, A Criminisi, ...
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Mandates: US National Institutes of Health
Image quality transfer and applications in diffusion MRI
DC Alexander, D Zikic, A Ghosh, R Tanno, V Wottschel, J Zhang, E Kaden, ...
NeuroImage 152, 283-298, 2017
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
Image quality transfer via random forest regression: applications in diffusion MRI
DC Alexander, D Zikic, J Zhang, H Zhang, A Criminisi
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
Fine-tuned convolutional neural nets for cardiac MRI acquisition plane recognition
J Margeta, A Criminisi, R Cabrera Lozoya, DC Lee, N Ayache
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2017
Mandates: US National Institutes of Health, European Commission
Semi-supervised learning via compact latent space clustering
K Kamnitsas, D Castro, L Le Folgoc, I Walker, R Tanno, D Rueckert, ...
International conference on machine learning, 2459-2468, 2018
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI
R Tanno, DE Worrall, E Kaden, A Ghosh, F Grussu, A Bizzi, ...
NeuroImage 225, 117366, 2021
Mandates: US National Institutes of Health, UK Engineering and Physical Sciences …
Laplacian forests: Semantic image segmentation by guided bagging
H Lombaert, D Zikic, A Criminisi, N Ayache
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
Mandates: European Commission
Quantifying registration uncertainty with sparse bayesian modelling
L Le Folgoc, H Delingette, A Criminisi, N Ayache
IEEE transactions on medical imaging 36 (2), 607-617, 2016
Mandates: European Commission
WESD--Weighted Spectral Distance for measuring shape dissimilarity
E Konukoglu, B Glocker, A Criminisi, KM Pohl
IEEE transactions on pattern analysis and machine intelligence 35 (9), 2284-2297, 2012
Mandates: US National Institutes of Health
Context-sensitive decision forests for object detection
P Kontschieder, S Bulò, A Criminisi, P Kohli, M Pelillo, H Bischof
Advances in neural information processing systems 25, 2012
Mandates: Austrian Science Fund
Smartphone camera based assessment of adiposity: a validation study
MD Majmudar, S Chandra, K Yakkala, S Kennedy, A Agrawal, M Sippel, ...
NPJ Digital Medicine 5 (1), 79, 2022
Mandates: US National Institutes of Health
Bayesian image quality transfer
R Tanno, A Ghosh, F Grussu, E Kaden, A Criminisi, DC Alexander
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
Mandates: US National Institutes of Health
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements
L Le Folgoc, H Delingette, A Criminisi, N Ayache
Medical image analysis 36, 79-97, 2017
Mandates: European Commission
Spectral forests: Learning of surface data, application to cortical parcellation
H Lombaert, A Criminisi, N Ayache
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
Mandates: Natural Sciences and Engineering Research Council of Canada, European Commission
Discriminative segmentation-based evaluation through shape dissimilarity
E Konukoglu, B Glocker, DH Ye, A Criminisi, KM Pohl
IEEE transactions on medical imaging 31 (12), 2278-2289, 2012
Mandates: US National Institutes of Health
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