Loïc Le Folgoc

发表

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing pdf

Loïc Le Folgoc, Daniel C. Castro, Jeremy Tan, 2019, IPMI.

Attention U-Net: Learning Where to Look for the Pancreas pdf

Loïc Le Folgoc, Ben Glocker, Daniel Rueckert, 2018, ArXiv.

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training

Loïc Le Folgoc, Daniel Rueckert, Chen Qin, 2019, STACOM@MICCAI.

Semi-Supervised Learning via Compact Latent Space Clustering pdf

Loïc Le Folgoc, Daniel C. Castro, Konstantinos Kamnitsas, 2018, ICML.

Statistical learning for image-based personalization of cardiac models. (Apprentissage statistique pour la personnalisation de modèles cardiaques à partir de données d'imagerie)

Loïc Le Folgoc, Loïc Le Folgoc, 2015 .

Quantifying Registration Uncertainty With Sparse Bayesian Modelling

Hervé Delingette, Loïc Le Folgoc, Nicholas Ayache, 2017, IEEE Transactions on Medical Imaging.

Lifted Auto-Context Forests for Brain Tumour Segmentation

Loïc Le Folgoc, Antonio Criminisi, Siddharth Ancha, 2016, BrainLes@MICCAI.

Sparse Bayesian registration of medical images for self‐tuning of parameters and spatially adaptive parametrization of displacements

Hervé Delingette, Loïc Le Folgoc, Nicholas Ayache, 2017, Medical Image Anal..

Sparse Bayesian Registration

Hervé Delingette, Loïc Le Folgoc, Nicholas Ayache, 2014, MICCAI.

Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models

Hervé Delingette, Loïc Le Folgoc, Nicholas Ayache, 2012, MCV.

FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms pdf

Loïc Le Folgoc, Bishesh Khanal, Ben Glocker, 2019, ArXiv.

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

Loïc Le Folgoc, Konstantinos Kamnitsas, Amir Alansary, 2018, MICCAI.

Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets

Loïc Le Folgoc, Nicholas Ayache, Ján Margeta, 2014, MCV.

Evaluation of Personalised Canine Electromechanical Models

Hervé Delingette, Loïc Le Folgoc, Maxime Sermesant, 2014, STACOM.

Evaluating reinforcement learning agents for anatomical landmark detection

Loïc Le Folgoc, Konstantinos Kamnitsas, Amir Alansary, 2019, Medical Image Anal..

Spectral Kernels for Probabilistic Analysis and Clustering of Shapes

Loïc Le Folgoc, Antonio Criminisi, Aditya V. Nori, 2017, IPMI.

Image Registration via Stochastic Gradient Markov Chain Monte Carlo

Loïc Le Folgoc, Bernhard Kainz, Ben Glocker, 2020, UNSURE/GRAIL@MICCAI.