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
Bouzid K, Sharma H, Killcoyne S, et al., 2024, Enabling large-scale screening of Barrett's esophagus using weakly supervised deep learning in histopathology., Nat Commun, Vol:15
Jones C, Castro DC, De Sousa Ribeiro F, et al., 2024, A causal perspective on dataset bias in machine learning for medical imaging, Nature Machine Intelligence, Vol:6, ISSN:2522-5839, Pages:138-146
Conference
Monteiro M, De Sousa Ribeiro F, Pawlowski N, et al., 2023, Measuring axiomatic soundness of counterfactual image models, International Conference on Learning Representations (ICLR)
Bannur S, Hyland S, Liu Q, et al., 2023, Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing, Pages:15016-15027, ISSN:1063-6919
Liu Q, Hyland SL, Bannur S, et al., 2023, Exploring the Boundaries of GPT-4 in Radiology, Pages:14414-14445