LF
Loic Le Folgoc
cs.CVcs.LGstat.MLBayes Theoremcs.AIeess.IVq-bio.QMstat.APAlgorithmsAlzheimer Disease
On Valency
published · living versionsW_pw89623e·v1 · currentpublished
CNVAE: Anatomically Correct Segmentation via Conditional Generative Modeling
with Freddy Jiang, Elsa Angelini
1 version
W_apyk9q4r·v1published
W_mx5trdz7·v1published
Preprints & journals
28 papers in the corpus · 2014–2026Pix2Rep-v2: Data-Efficient Representation Learning for Dense Medical Imaging Applications2609.01427v1 · S. Sifaoui, E. Angelini, S. Toupin et al.2026 · 0 citationsarXiv
Unsupervised Adaptation of 3D CT Foundation Models for 3D CBCT Segmentation2608.27190v1 · Gauthier Miralles, Loic Le Folgoc, Vincent Jugnon et al.2026 · 0 citationsarXiv
Benchmarking the robustness of segmentation models to corruptions in biological imaging10.64898/2026.08.21.746302v1 · Kesenci, Y., Le Folgoc, L., Angelini, E.2026 · 0 citationsbioRxiv
Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos2605.12320v2 · Luca Parolari, Pietro Gori, Lamberto Ballan et al.2026 · 0 citationsarXiv
Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancy2603.09932v1 · Gauthier Miralles, Loic Le Folgoc, Vincent Jugnon et al.2026 · 0 citationsarXiv
Reducing Variability of Multiple Instance Learning Methods for Digital Pathology2507.00292v2 · Ali Mammadov, Loic Le Folgoc, Guillaume Hocquet et al.2025 · 0 citationsarXiv
Self-supervision enhances instance-based multiple instance learning methods in digital pathology: a benchmark study.40475245 · Mammadov, Ali, Le Folgoc, Loïc, Adam, Julien et al.2026 · 6 citationsJournal of medical imaging (Bellingham, Wash.). 2025;12(6):061404
Dense Self-Supervised Learning for Medical Image Segmentation2407.20395v1 · Maxime Seince, Loic Le Folgoc, Luiz Augusto Facury de Souza et al.2024 · 0 citationsarXiv
Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT2208.08184v1 · Sam Ellis, Octavio E. Martinez Manzanera, Vasileios Baltatzis et al.2022 · 8 citationsarXiv
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo2110.13289v1 · Daniel Grzech, Mohammad Farid Azampour, Huaqi Qiu et al.2021 · 5 citationsarXiv
Is MC Dropout Bayesian?2110.04286v1 · Loic Le Folgoc, Vasileios Baltatzis, Sujal Desai et al.2021 · 7 citationsarXiv
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification2108.05386v1 · Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loic Le Folgoc et al.2021 · 7 citationsarXiv
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data2108.04815v1 · Vasileios Baltatzis, Loic Le Folgoc, Sam Ellis et al.2021 · 1 citationarXiv
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data2108.00250v1 · Loic Le Folgoc, Vasileios Baltatzis, Amir Alansary et al.2021 · 1 citationarXiv
Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface2008.06098v2 · Vitalis Vosylius, Andy Wang, Cemlyn Waters et al.2020 · 18 citationsarXiv
Bayesian Sampling Bias Correction: Training with the Right Loss Function2006.13798v1 · L. Le Folgoc, V. Baltatzis, A. Alansary et al.2020 · 0 citationsarXiv
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty2006.06015v2 · Miguel Monteiro, Loic Le Folgoc, Daniel Coelho de Castro et al.2020 · 88 citationsarXiv
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.31944949 · Biffi, Carlo, Cerrolaza, Juan J, Tarroni, Giacomo et al.2021 · 7 citationsIEEE transactions on medical imaging. 2020;39(6):2088-2099
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing1903.02429v1 · Loic Le Folgoc, Daniel C. Castro, Jeremy Tan et al.2019 · 0 citationsIPMI 2019. LNCS, vol 11492, pp 221-234. Springer, Cham
FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms1903.01905v3 · Daniel Grzech, Loic le Folgoc, Mattias P. Heinrich et al.2019 · 2 citationsarXiv
Evaluating reinforcement learning agents for anatomical landmark detection.30784956 · Alansary, Amir, Oktay, Ozan, Li, Yuanwei et al.2019 · 185 citationsMedical image analysis. 2019;53:156-164
Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features.30465543 · Macomber, Meghan W, Phillips, Mark, Tarapov, Ivan et al.2019 · 32 citationsPhysics in medicine and biology. 2018;63(23):235002
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents1806.03228v1 · Amir Alansary, Loic Le Folgoc, Ghislain Vaillant et al.2018 · 55 citationsarXiv
Semi-Supervised Learning via Compact Latent Space Clustering1806.02679v2 · Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc et al.2018 · 70 citationsarXiv
Attention U-Net: Learning Where to Look for the Pancreas1804.03999v3 · Ozan Oktay, Jo Schlemper, Loic Le Folgoc et al.2018 · 5,455 citationsarXiv
Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements.27870999 · Le Folgoc, Loïc, Delingette, Hervé, Criminisi, Antonio et al.2018 · 16 citationsMedical image analysis. 2017;36:79-97
Quantifying Registration Uncertainty With Sparse Bayesian Modelling.27831863 · Le Folgoc, Loic, Delingette, Herve, Criminisi, Antonio et al.2017 · 38 citationsIEEE transactions on medical imaging. 2017;36(2):607-617
Sparse Bayesian registration.25333123 · Le Folgoc, Loïc, Delingette, Hervé, Criminisi, Antonio et al.2014 · 8 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2014;17(Pt 1):235-42
Career total: 44 works. 28 are in this corpus.
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