Felix J. S. Bragman

14 papers A* 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Temporal Cluster Assignment for Efficient Real-Time Video Segmentation.
CoRR
Ka-Wai Yung, Felix J. S. Bragman, Jialang Xu, Imanol Luengo, Danail Stoyanov, Evangelos B. Mazomenos
2024 J jnl
A spatio-temporal network for video semantic segmentation in surgical videos.
Int. J. Comput. Assist. Radiol. Surg.
Maria Grammatikopoulou, Ricardo Sanchez-Matilla, Felix J. S. Bragman, David Owen, Lucy Culshaw, Karen Kerr, Danail Stoyanov, Imanol Luengo
2023 J jnl
A spatio-temporal network for video semantic segmentation in surgical videos.
CoRR
Maria Grammatikopoulou, Ricardo Sanchez-Matilla, Felix J. S. Bragman, David Owen, Lucy Culshaw, Karen Kerr, Danail Stoyanov, Imanol Luengo
2020 J jnl
Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models.
Frontiers Digit. Health
Yuanzhao Zhang, Robert Walecki, Joanne R. Winter, Felix J. S. Bragman, Sara Lourenco, Christopher Hart, Adam Baker, Yura Perov, Saurabh Johri
2019 — conf
Learning Task-Specific and Shared Representations in Medical Imaging.
MICCAI (4)
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
2019 A* conf
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels.
ICCV
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso
2019 J jnl
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels.
CoRR
Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
2018 — conf
Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions.
MICCAI (1)
Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
2018 J jnl
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions.
CoRR
Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
2018 — conf
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
MICCAI (4)
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
2018 J jnl
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning.
CoRR
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
2017 — conf
Manifold Learning of COPD.
MICCAI (3)
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
2017 J jnl
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior.
IEEE Trans. Medical Imaging
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
2014 — conf
Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes.
MICCAI (3)
Felix J. S. Bragman, Jamie R. McClelland, Marc Modat, Sébastien Ourselin, John R. Hurst, David J. Hawkes