Cardoso, M. Jorge

6 publications

MIDL 2024 Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models Ashay Patel, Mark S Graham, Vicky Goh, Sebastien Ourselin, M. Jorge Cardoso

CVPRW 2023 Denoising Diffusion Models for Out-of-Distribution Detection Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

ICCVW 2023 Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso

NeurIPSW 2023 Synthetic Sleep EEG Signal Generation Using Latent Diffusion Models Bruno Aristimunha, Raphael Yokoingawa de Camargo, Sylvain Chevallier, Oeslle Lucena, Adam G Thomas, M. Jorge Cardoso, Walter Hugo Lopez Pinaya, Jessica Dafflon

MIDL 2023 Transformer-Based Out-of-Distribution Detection for Clinically Safe Segmentation Mark S Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U-King-Im, Yee H Mah, James T Teo, Rolf Jager, David Werring, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

NeurIPSW 2022 Transformer-Based Normative Modelling for Anomaly Detection of Early Schizophrenia Pedro Ferreira da Costa, Jessica Dafflon, Sergio Leonardo Mendes, João Ricardo Sato, M. Jorge Cardoso, Robert Leech, Emily Jones, Walter Hugo Lopez Pinaya