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Felix Bragman
Felix Bragman
Medtronic, Surgical Robotics
Verified email at babylonhealth.com - Homepage
Title
Cited by
Cited by
Year
Electrohydrodynamic preparation of particles, capsules and bubbles for biomedical engineering applications
M Enayati, MW Chang, F Bragman, M Edirisinghe, E Stride
Colloids and Surfaces A: Physicochemical and Engineering Aspects 382 (1-3 …, 2011
1612011
Improving data augmentation for medical image segmentation
Z Eaton-Rosen, F Bragman, S Ourselin, MJ Cardoso
1172018
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions
Z Eaton-Rosen, F Bragman, S Bisdas, S Ourselin, MJ Cardoso
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
922018
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
FJS Bragman*, R Tanno*, S Ourselin, DC Alexander, MJ Cardoso
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019
852019
Disease Progression Modelling in Chronic Obstructive Pulmonary Disease (COPD)
AL Young*, FJS Bragman*, B Rangelov, ML Han, CJ Galbán, DA Lynch, ...
American Journal of Respiratory and Critical Care Medicine 201 (3), 2020
722020
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning
FJS Bragman, R Tanno, Z Eaton-Rosen, W Li, DJ Hawkes, S Ourselin, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
63*2018
Pulmonary lobe segmentation with probabilistic segmentation of the fissures and a groupwise fissure prior
FJS Bragman, JR McClelland, J Jacob, JR Hurst, DJ Hawkes
IEEE transactions on medical imaging 36 (8), 1650-1663, 2017
432017
Hot electrospinning of polyurethane fibres
M Nangrejo, F Bragman, Z Ahmad, E Stride, M Edirisinghe
Materials letters 68, 482-485, 2012
192012
Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: the Utility of Language Models
Y Zhang, R Walecki, J Winter, F Bragman, S Lourenco, C Hart, A Baker, ...
Frontiers in Digital Health 2, 31, 2020
72020
Improving Data Augmentation for Medical Image Segmentation. 2018
Z Eaton-Rosen, F Bragman, S Ourselin, MJ Cardoso
URL: https://openreview. net/pdf, 2018
72018
A spatio-temporal network for video semantic segmentation in surgical videos
M Grammatikopoulou, R Sanchez-Matilla, F Bragman, D Owen, ...
International Journal of Computer Assisted Radiology and Surgery 19 (2), 375-382, 2024
42024
Multi-scale analysis of imaging features and its use in the study of COPD exacerbation susceptible phenotypes
FJS Bragman, JR McClelland, M Modat, S Ourselin, JR Hurst, DJ Hawkes
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
32014
How to control the learning rate of adaptive sampling schemes
L Berger, E Hyde, N Pavithran, F Mumtaz, F Bragman, MJ Cardoso, ...
22022
Disease progression patterns in COPD
FJS Bragman, AL Young, DJ Hawkes, DC Alexander, JR Hurst
European Respiratory Journal 52 (suppl 62), 2018
22018
Manifold Learning of COPD
F Bragman, J McClelland, J Jacob, J Hurst, D Hawkes
International Conference on Medical Image Computing and Computer-Assisted …, 2017
22017
Learning Task-Specific and Shared Representations in Medical Imaging
FJS Bragman*, R Tanno*, S Ourselin, DC Alexander, MJ Cardoso
International Conference on Medical Image Computing and Computer-Assisted …, 2019
2019
Disease Progression Modelling in
AL Young, FJS Bragman, B Rangelov, ML Han, CJ Galbán, DA Lynch, ...
2019
Quantitative lung CT analysis for the study and diagnosis of Chronic Obstructive Pulmonary Disease
FJS Bragman
University of London, University College London (United Kingdom), 2018
2018
Multi-scale analysis of imaging features to study exacerbation susceptible COPD
FJS Bragman, JR McClelland, DJ Hawkes, JR Hurst
European Respiratory Journal 44 (Suppl 58), 2014
2014
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Articles 1–19