Loic Le Folgoc
Loic Le Folgoc
Research Associate, Imperial College London, UK
Bestätigte E-Mail-Adresse bei imperial.ac.uk - Startseite
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Zitiert von
Zitiert von
Jahr
Attention u-net: Learning where to look for the pancreas
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 2018
6952018
Evaluating reinforcement learning agents for anatomical landmark detection
A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ...
Medical image analysis 53, 156-164, 2019
582019
Semi-supervised learning via compact latent space clustering
K Kamnitsas, DC Castro, LL Folgoc, I Walker, R Tanno, D Rueckert, ...
arXiv preprint arXiv:1806.02679, 2018
452018
Attention u-net: Learning where to look for the pancreas. arXiv 2018
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 0
34
Automatic view planning with multi-scale deep reinforcement learning agents
A Alansary, L Le Folgoc, G Vaillant, O Oktay, Y Li, W Bai, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
262018
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
232016
Lifted auto-context forests for brain tumour segmentation
L Le Folgoc, AV Nori, S Ancha, A Criminisi
International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016
212016
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
172017
Segmentation of brain tumors via cascades of lifted decision forests
L Folgoc, A Nori, J Alvarez-Valle, R Lowe, A Criminisi
Proceedings MICCAI-BRATS Workshop, 26-30, 2016
142016
Sparse bayesian registration
L Le Folgoc, H Delingette, A Criminisi, N Ayache
International Conference on Medical Image Computing and Computer-Assisted …, 2014
112014
Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features
MW Macomber, M Phillips, I Tarapov, R Jena, A Nori, D Carter, ...
Physics in Medicine & Biology 63 (23), 235002, 2018
102018
Confidence-based training for clinical data uncertainty in image-based prediction of cardiac ablation targets
R Cabrera-Lozoya, J Margeta, L Le Folgoc, Y Komatsu, B Berte, J Relan, ...
International MICCAI Workshop on Medical Computer Vision, 148-159, 2014
92014
Current-based 4D shape analysis for the mechanical personalization of heart models
L Le Folgoc, H Delingette, A Criminisi, N Ayache
International MICCAI Workshop on Medical Computer Vision, 283-292, 2012
72012
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
M Monteiro, LL Folgoc, DC de Castro, N Pawlowski, B Marques, ...
arXiv preprint arXiv:2006.06015, 2020
62020
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
C Biffi, JJ Cerrolaza, G Tarroni, W Bai, A De Marvao, O Oktay, C Ledig, ...
IEEE Transactions on Medical Imaging, 2020
62020
Evaluation of Personalised Canine Electromechanical Models
S Giffard-Roisin, S Marchesseau, L Le Folgoc, H Delingette, M Sermesant
International Workshop on Statistical Atlases and Computational Models of …, 2014
42014
Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training
H Qiu, C Qin, L Le Folgoc, B Hou, J Schlemper, D Rueckert
International Workshop on Statistical Atlases and Computational Models of …, 2019
32019
Spectral kernels for probabilistic analysis and clustering of shapes
L Le Folgoc, AV Nori, A Criminisi
International Conference on Information Processing in Medical Imaging, 67-79, 2017
32017
Local late gadolinium enhancement features to identify the electrophysiological substrate of post-infarction ventricular tachycardia: a machine learning approach
RC Lozoya, J Margeta, L Le Folgoc, Y Komatsu, B Berte, JS Relan, ...
Journal of Cardiovascular Magnetic Resonance 17 (1), 1-2, 2015
32015
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
C Biffi, JJ Cerrolaza, G Tarroni, W Bai, A de Marvao, O Oktay, C Ledig, ...
arXiv preprint arXiv:1907.00058, 2019
2*2019
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