Bayesian optimization for automatic design of face stimuli. - Pedro F. Da Costa; Romy Lorenz; Ricardo Pio Monti; Emily J. H. Jones; Robert Leech (CoRR, 2020)

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. - Walter H. L. Pinaya; Mark S. Graham; Robert J. Gray; Pedro F. Da Costa; Petru-Daniel Tudosiu; Paul Wright 001; Yee-Haur Mah; Andrew D. MacKinnon; James T. Teo; Hans Rolf Jäger; David Werring; Geraint Rees 001; et al. (MICCAI (8), 2022)

Brain Imaging Generation with Latent Diffusion Models. - Walter H. L. Pinaya; Petru-Daniel Tudosiu; Jessica Dafflon; Pedro F. Da Costa; Virginia Fernandez; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (DGM4MICCAI@MICCAI, 2022)

Transformer-based normative modelling for anomaly detection of early schizophrenia. - Pedro F. Da Costa; Jessica Dafflon; Sergio Leonardo Mendes; João Ricardo Sato; M. Jorge Cardoso; Robert Leech; Emily J. H. Jones; Walter Hugo Lopez Pinaya (CoRR, 2022)

Generative AI for Medical Imaging: extending the MONAI Framework. - Walter H. L. Pinaya; Mark S. Graham; Eric Kerfoot; Petru-Daniel Tudosiu; Jessica Dafflon; Virginia Fernandez; Pedro Sanchez; Julia Wolleb; Pedro F. Da Costa; Ashay Patel; Hyungjin Chung; Can Zhao 001; et al. (CoRR, 2023)

Realistic morphology-preserving generative modelling of the brain. - Petru-Daniel Tudosiu; Walter H. L. Pinaya; Pedro Ferreira Da Costa; Jessica Dafflon; Ashay Patel; Pedro Borges; Virginia Fernandez; Mark S. Graham; Robert J. Gray; Parashkev Nachev; Sébastien Ourselin; M. Jorge Cardoso (Nat. Mac. Intell., 2024)

"Some things you can ask me": on gender and artificial intelligence - Pedro Ferreira Da Costa (2024)