Felix J. S. Bragman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
2
Active years
2014–2019
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2019 | ICCV | Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. | Felix J. S. Bragman, Ryutaro Tanno, Sbastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso |
| 2019 | MICCAI | Learning Task-Specific and Shared Representations in Medical Imaging. | Felix J. S. Bragman, Ryutaro Tanno, Sbastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso |
| 2018 | MICCAI | Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. | Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sbastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso |
| 2018 | MICCAI | Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions. | Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sbastien Ourselin, M. Jorge Cardoso |
| 2017 | MICCAI | Manifold Learning of COPD. | Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes |
| 2014 | MICCAI | Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes. | Felix J. S. Bragman, Jamie R. McClelland, Marc Modat, Sbastien Ourselin, John R. Hurst, David J. Hawkes |