Loïc Le Folgoc

According to our database, Loïc Le Folgoc authored at least 30 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dense Self-Supervised Learning for Medical Image Segmentation.

Maxime Seince, Loïc Le Folgoc, Luiz Augusto Facury de Souza, Elsa D. Angelini

CoRR, 2024

Unsupervised Similarity Learning for Image Registration with Energy-Based Models.

Daniel Grzech, Loïc Le Folgoc, Mohammad Farid Azampour, Athanasios Vlontzos, Ben Glocker, Nassir Navab, Julia A. Schnabel, Bernhard Kainz

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

2022

A variational Bayesian method for similarity learning in non-rigid image registration.

Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo.

Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu, Ben Glocker, Bernhard Kainz, Loïc Le Folgoc

CoRR, 2021

Is MC Dropout Bayesian?

Loïc Le Folgoc, Vasileios Baltatzis, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Arjun Nair, Huaqi Qiu, Julia A. Schnabel, Ben Glocker

CoRR, 2021

Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data.

Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker

CoRR, 2021

The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.

Vasileios Baltatzis, Loïc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification.

Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loïc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data.

Octavio E. Martinez Manzanera, Sam Ellis, Vasileios Baltatzis, Arjun Nair, Loïc Le Folgoc, Sujal Desai, Ben Glocker, Julia A. Schnabel

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.

Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Antonio de Marvao, Ozan Oktay, Christian Ledig, Loïc Le Folgoc, Konstantinos Kamnitsas, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert

IEEE Trans. Medical Imaging, 2020

Bayesian Sampling Bias Correction: Training with the Right Loss Function.

Loïc Le Folgoc, Vasileios Baltatzis, Amir Alansary, Sujal Desai, Anand Devaraj, Sam Ellis, Octavio E. Martinez Manzanera, Fahdi Kanavati, Arjun Nair, Julia A. Schnabel, Ben Glocker

CoRR, 2020

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty.

Miguel Monteiro, Loïc Le Folgoc, Daniel Coelho de Castro, Nick Pawlowski, Bernardo Marques, Konstantinos Kamnitsas, Mark van der Wilk, Ben Glocker

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.

Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loïc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

Image Registration via Stochastic Gradient Markov Chain Monte Carlo.

Daniel Grzech, Bernhard Kainz, Ben Glocker, Loïc Le Folgoc

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

2019

Evaluating reinforcement learning agents for anatomical landmark detection.

Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert

Medical Image Anal., 2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.

Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Ozan Oktay, Loïc Le Folgoc, Konstantinos Kamnitsas, Antonio de Marvao, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert

CoRR, 2019

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

Huaqi Qiu, Chen Qin, Loïc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

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

Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker

Proceedings of the Information Processing in Medical Imaging, 2019

2018

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

Ozan Oktay, Jo Schlemper, Loïc Le Folgoc, Matthew C. H. Lee, Mattias P. Heinrich, Kazunari Misawa, Kensaku Mori, Steven G. McDonagh, Nils Y. Hammerla, Bernhard Kainz, Ben Glocker, Daniel Rueckert

CoRR, 2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.

Amir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Semi-Supervised Learning via Compact Latent Space Clustering.

Konstantinos Kamnitsas, Daniel Coelho de Castro, Loïc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Quantifying Registration Uncertainty With Sparse Bayesian Modelling.

Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache

IEEE Trans. Medical Imaging, 2017

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

Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache

Medical Image Anal., 2017

Spectral Kernels for Probabilistic Analysis and Clustering of Shapes.

Loïc Le Folgoc, Aditya V. Nori, Antonio Criminisi

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Lifted Auto-Context Forests for Brain Tumour Segmentation.

Loïc Le Folgoc, Aditya V. Nori, Siddharth Ancha, Antonio Criminisi

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

2015

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

PhD thesis, 2015

2014

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

Rocío Cabrera Lozoya, Ján Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Haïssaguerre, Pierre Jaïs, Nicholas Ayache, Maxime Sermesant

Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Evaluation of Personalised Canine Electromechanical Models.

Sophie Giffard-Roisin, Stéphanie Marchesseau, Loïc Le Folgoc, Hervé Delingette, Maxime Sermesant

Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014

Sparse Bayesian Registration.

Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2012

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

Loïc Le Folgoc, Hervé Delingette, Antonio Criminisi, Nicholas Ayache

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012