Search Results - Loïc Le Folgoc

Refine Results
  1. 1
    Quantifying Registration Uncertainty With Sparse Bayesian Modelling

    Quantifying Registration Uncertainty With Sparse Bayesian Modelling by Le Folgoc, Loic, Delingette, Herve, Criminisi, Antonio, Ayache, Nicholas

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  2. 2
    Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements

    Sparse Bayesian registration of medical images for self-tuning of parameters and spatially adaptive parametrization of displacements by Le Folgoc, Loïc, Delingette, Hervé, Criminisi, Antonio, Ayache, Nicholas

    Published in Medical image analysis
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  3. 3
    Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features

    Autosegmentation of prostate anatomy for radiation treatment planning using deep decision forests of radiomic features by Macomber, Meghan W, Phillips, Mark, Tarapov, Ivan, Jena, Rajesh, Nori, Aditya, Carter, David, Folgoc, Loic Le, Criminisi, Antonio, Nyflot, Matthew J

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  4. 4
    Evaluating reinforcement learning agents for anatomical landmark detection

    Evaluating reinforcement learning agents for anatomical landmark detection by Alansary, Amir, Oktay, Ozan, Li, Yuanwei, Folgoc, Loic Le, Hou, Benjamin, Vaillant, Ghislain, Kamnitsas, Konstantinos, Vlontzos, Athanasios, Glocker, Ben, Kainz, Bernhard, Rueckert, Daniel

    Published in Medical image analysis
    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  5. 5
    Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models

    Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models by Biffi, Carlo, Cerrolaza, Juan J., Tarroni, Giacomo, Bai, Wenjia, de Marvao, Antonio, Oktay, Ozan, Ledig, Christian, Le Folgoc, Loic, Kamnitsas, Konstantinos, Doumou, Georgia, Duan, Jinming, Prasad, Sanjay K., Cook, Stuart A., O'Regan, Declan P., Rueckert, Daniel

    Get full text
    Items that this one cites
    Items that cite this one
    Article
    Save to List
    Saved in:
  6. 6
    Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data

    Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data by Manzanera, Octavio E. Martinez, Ellis, Sam, Baltatzis, Vasileios, Nair, Arjun, Le Folgoc, Loic, Desai, Sujal, Glocker, Ben, Schnabel, Julia A.

    Request full text
    Conference Proceeding
    Save to List
    Saved in:
  7. 7
    Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing

    Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing by Loic Le Folgoc, Castro, Daniel C, Tan, Jeremy, Khanal, Bishesh, Kamnitsas, Konstantinos, Walker, Ian, Alansary, Amir, Glocker, Ben

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Local late gadolinium enhancement features to identify the electrophysiological substrate of post-infarction ventricular tachycardia: a machine learning approach

    Local late gadolinium enhancement features to identify the electrophysiological substrate of post-infarction ventricular tachycardia: a machine learning approach by Lozoya, Rocio Cabrera, Margeta, Jan, Folgoc, Loic Le, Komatsu, Yuki, Berte, Benjamin, Relan, Jatin S, Cochet, Hubert, Haïssaguerre, Michel, Jaïs, Pierre, Ayache, Nicholas, Sermesant, Maxime

    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo

    Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo by Grzech, Daniel, Mohammad Farid Azampour, Qiu, Huaqi, Glocker, Ben, Kainz, Bernhard, Loïc Le Folgoc

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT

    Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT by Ellis, Sam, Martinez Manzanera, Octavio E, Baltatzis, Vasileios, Nawaz, Ibrahim, Nair, Arjun, Loïc Le Folgoc, Desai, Sujal, Glocker, Ben, Schnabel, Julia A

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  11. 11
    Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty

    Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty by Monteiro, Miguel, Loïc Le Folgoc, Coelho de Castro, Daniel, Pawlowski, Nick, Marques, Bernardo, Kamnitsas, Konstantinos, van der Wilk, Mark, Glocker, Ben

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  12. 12
    FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms

    FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms by Grzech, Daniel, Loïc le Folgoc, Heinrich, Mattias P, Khanal, Bishesh, Moll, Jakub, Schnabel, Julia A, Glocker, Ben, Kainz, Bernhard

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  13. 13
    Dense Self-Supervised Learning for Medical Image Segmentation

    Dense Self-Supervised Learning for Medical Image Segmentation by Seince, Maxime, Loic Le Folgoc, Luiz Augusto Facury de Souza, Angelini, Elsa

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Is MC Dropout Bayesian?

    Is MC Dropout Bayesian? by Loic Le Folgoc, Baltatzis, Vasileios, Desai, Sujal, Devaraj, Anand, Ellis, Sam, Martinez Manzanera, Octavio E, Nair, Arjun, Qiu, Huaqi, Schnabel, Julia, Glocker, Ben

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification

    The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification by Baltatzis, Vasileios, Kyriaki-Margarita Bintsi, Loic Le Folgoc, Martinez Manzanera, Octavio E, Ellis, Sam, Nair, Arjun, Desai, Sujal, Glocker, Ben, Schnabel, Julia A

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data

    The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data by Baltatzis, Vasileios, Loic Le Folgoc, Ellis, Sam, Martinez Manzanera, Octavio E, Kyriaki-Margarita Bintsi, Nair, Arjun, Desai, Sujal, Glocker, Ben, Schnabel, Julia A

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data

    Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data by Loic Le Folgoc, Baltatzis, Vasileios, Alansary, Amir, Desai, Sujal, Devaraj, Anand, Ellis, Sam, Martinez Manzanera, Octavio E, Fahdi Kanavati, Nair, Arjun, Schnabel, Julia, Glocker, Ben

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface

    Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface by Vosylius, Vitalis, Wang, Andy, Waters, Cemlyn, Zakharov, Alexey, Ward, Francis, Loic Le Folgoc, Cupitt, John, Makropoulos, Antonios, Schuh, Andreas, Rueckert, Daniel, Alansary, Amir

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Semi-Supervised Learning via Compact Latent Space Clustering

    Semi-Supervised Learning via Compact Latent Space Clustering by Kamnitsas, Konstantinos, Castro, Daniel C, Loic Le Folgoc, Walker, Ian, Tanno, Ryutaro, Rueckert, Daniel, Glocker, Ben, Criminisi, Antonio, Nori, Aditya

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling

    Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling by Biffi, Carlo, Cerrolaza, Juan J, Tarroni, Giacomo, Bai, Wenjia, Oktay, Ozan, Loic Le Folgoc, Kamnitsas, Konstantinos, de Marvao, Antonio, Doumou, Georgia, Duan, Jinming, Prasad, Sanjay K, Cook, Stuart A, O'Regan, Declan P, Rueckert, Daniel

    Published in arXiv.org
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: