Felix J. S. Bragman

According to our database, Felix J. S. Bragman authored at least 11 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Temporal Cluster Assignment for Efficient Real-Time Video Segmentation.

Ka-Wai Yung, Felix J. S. Bragman, Jialang Xu, Imanol Luengo, Danail Stoyanov, Evangelos B. Mazomenos

CoRR, August, 2025

2024

A spatio-temporal network for video semantic segmentation in surgical videos.

Maria Grammatikopoulou, Ricardo Sanchez-Matilla, Felix J. S. Bragman, David Owen, Lucy Culshaw, Karen Kerr, Danail Stoyanov, Imanol Luengo

Int. J. Comput. Assist. Radiol. Surg., February, 2024

Spatial-Temporal NAS for Fast Surgical Segmentation.

Matthew Lee, Felix John Samuel Bragman, Ricardo Sanchez-Matilla, Imanol Luengo, Danail Stoyanov

Proceedings of the 35th British Machine Vision Conference, 2024

2020

Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models.

Yuanzhao Zhang, Robert Walecki, Joanne R. Winter, Felix J. S. Bragman, Sara Lourenco, Christopher Hart, Adam Baker, Yura Perov, Saurabh Johri

Frontiers Digit. Health, 2020

2019

Learning Task-Specific and Shared Representations in Medical Imaging.

Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels.

Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions.

Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior.

Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes

IEEE Trans. Medical Imaging, 2017

Manifold Learning of COPD.

Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2014

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, Sébastien Ourselin, John R. Hurst, David J. Hawkes

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014