Conditional VAEs for Confound Removal and Normative Modelling of Neurodegenerative Diseases. - Ana Lawry Aguila; James Chapman 006; Mohammed Janahi; André Altmann (MICCAI (1), 2022)

A Generalized EigenGame with Extensions to Multiview Representation Learning. - James Chapman 006; Ana Lawry Aguila; Lennie Wells (CoRR, 2022)

Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities. - Ana Lawry Aguila; James Chapman 006; André Altmann (MICCAI (1), 2023)

Tackling the dimensions in imaging genetics with CLUB-PLS. - André Altmann; Ana C. Lawry Aguila; Neda Jahanshad; Paul M. Thompson; Marco Lorenzi (CoRR, 2023)

Efficient Algorithms for the CCA Family: Unconstrained Objectives with Unbiased Gradients. - James Chapman 006; Ana Lawry Aguila; Lennie Wells (CoRR, 2023)

Multi-view-AE: A Python package for multi-view autoencoder models. - Ana Lawry Aguila; Alejandra Jayme; Nina Montaña Brown; Vincent Heuveline; André Altmann (J. Open Source Softw., 2023)

Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning. - James Chapman 006; Lennie Wells; Ana Lawry Aguila (ICLR, 2024)

A tutorial on multi-view autoencoders using the multi-view-AE library. - Ana Lawry Aguila; André Altmann (CoRR, 2024)

Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data. - Ayodeji Ijishakin; Ana Lawry Aguila; Elizabeth Levitis; Ahmed Abdulaal; André Altmann; James Cole (CoRR, 2024)

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization. - Peirong Liu; Ana Lawry Aguila; Juan Eugenio Iglesias (CVPR, 2025)

Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization. - Ana Lawry Aguila; Peirong Liu; Oula Puonti; Juan Eugenio Iglesias (CoRR, 2025)