Felix J. S. Bragman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Topics

Multitask Learning

Top Venues

Frontiers Digit. Health

Publications

Maria Grammatikopoulou, Ricardo Sanchez-Matilla, Felix J. S. Bragman, David Owen, Lucy Culshaw, Karen Kerr, Danail Stoyanov, Imanol Luengo
A spatio-temporal network for video semantic segmentation in surgical videos. Int. J. Comput. Assist. Radiol. Surg. 19 (2) (2024)
Maria Grammatikopoulou, Ricardo Sanchez-Matilla, Felix J. S. Bragman, David Owen, Lucy Culshaw, Karen Kerr, Danail Stoyanov, Imanol Luengo
A spatio-temporal network for video semantic segmentation in surgical videos. CoRR (2023)
Yuanzhao Zhang, Robert Walecki, Joanne R. Winter, Felix J. S. Bragman, Sara Lourenco, Christopher Hart, Adam Baker, Yura Perov, Saurabh Johri
Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models. Frontiers Digit. Health 2 (2020)
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. ICCV (2019)
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. CoRR (2019)
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
Learning Task-Specific and Shared Representations in Medical Imaging. MICCAI (4) (2019)
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. CoRR (2018)
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. MICCAI (4) (2018)
Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions. CoRR (2018)
Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions. MICCAI (1) (2018)
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior. IEEE Trans. Medical Imaging 36 (8) (2017)
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
Manifold Learning of COPD. MICCAI (3) (2017)
Felix J. S. Bragman, Jamie R. McClelland, Marc Modat, Sébastien Ourselin, John R. Hurst, David J. Hawkes
Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes. MICCAI (3) (2014)