Imperial College London

Daniel Coelho de Castro

Faculty of EngineeringDepartment of Computing

Honorary Research Fellow
 
 
 
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Contact

 

d.coelho-de-castro15 Website

 
 
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Location

 

347Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

I am a final-year PhD student in the Biomedical Image Analysis group at Imperial College London, supervised by Dr Ben Glocker. My BSc in Computer Engineering was obtained from the Pontifical Catholic University of Rio de Janeiro, followed by a graduate Engineering Diploma from a double-degree programme at École Centrale Paris (now CentraleSupélec) and a MRes in Advanced Computing from the Centre for Doctoral Training in High-Performance Embedded and Distributed Systems (HiPEDS) at Imperial College. I have additionally done a long research internship at Microsoft Research Cambridge, under supervision of Dr Sebastian Nowozin.

My research interests revolve around probabilistic modelling of imaging and non-imaging data, especially involving (but not limited to) Bayesian nonparametrics, deep generative models, representation learning and disentanglement, causality, and shape analysis.

Publications

Journals

Coelho De Castro D, Walker I, Glocker B, 2020, Causality matters in medical imaging, Nature Communications, Vol:11, ISSN:2041-1723, Pages:1-10

Conference

Robinson R, Dou Q, Castro DC, et al., Image-level harmonization of multi-site data using image-and-spatial transformer networks, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention

Monteiro M, Folgoc LL, Castro DCD, et al., Stochastic segmentation networks: modelling spatially correlated aleatoric uncertainty, Neural Information Processing Systems (NeurIPS), arXiv

Pawlowski N, Castro DC, Glocker B, Deep structural causal models for tractable counterfactual inference, Neural Information Processing Systems (NeurIPS), arXiv

Glocker B, Robinson R, Castro DC, et al., 2019, Machine learning with multi-site imaging data: an empirical study on theimpact of scanner effects, Medical Imaging meets NeurIPS, NeurIPS

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