Loc Le Folgoc
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
3
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Reducing Variability of Multiple Instance Learning Methods for Digital Pathology. | Ali Mammadov, Loc Le Folgoc, Guillaume Hocquet, Pietro Gori |
| 2022 | CVPR | 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, Loc Le Folgoc |
| 2021 | MICCAI | The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. | Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loc Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel |
| 2021 | MICCAI | The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data. | Vasileios Baltatzis, Loc Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel |
| 2020 | MICCAI | Image Registration via Stochastic Gradient Markov Chain Monte Carlo. | Daniel Grzech, Bernhard Kainz, Ben Glocker, Loc Le Folgoc |
| 2020 | MICCAI | 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, Loc Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary |
| 2019 | MICCAI | Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. | Huaqi Qiu, Chen Qin, Loc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert |
| 2018 | ICML | Semi-Supervised Learning via Compact Latent Space Clustering. | Konstantinos Kamnitsas, Daniel Coelho de Castro, Loc Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya V. Nori |
| 2018 | MICCAI | Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. | Amir Alansary, Loc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert |
| 2016 | MICCAI | Lifted Auto-Context Forests for Brain Tumour Segmentation. | Loc Le Folgoc, Aditya V. Nori, Siddharth Ancha, Antonio Criminisi |
| 2014 | MICCAI | Sparse Bayesian Registration. | Loc Le Folgoc, Herv Delingette, Antonio Criminisi, Nicholas Ayache |
| 2014 | MICCAI | Evaluation of Personalised Canine Electromechanical Models. | Sophie Giffard-Roisin, Stphanie Marchesseau, Loc Le Folgoc, Herv Delingette, Maxime Sermesant |
| 2014 | MICCAI | Confidence-Based Training for Clinical Data Uncertainty in Image-Based Prediction of Cardiac Ablation Targets. | Roco Cabrera Lozoya, Jn Margeta, Loc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan, Hubert Cochet, Michel Hassaguerre, Pierre Jas, Nicholas Ayache, Maxime Sermesant |
| 2012 | MICCAI | Current-Based 4D Shape Analysis for the Mechanical Personalization of Heart Models. | Loc Le Folgoc, Herv Delingette, Antonio Criminisi, Nicholas Ayache |