Ana Lawry Aguila

According to our database, Ana Lawry Aguila authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Improving Neuropathological Reconstruction Fidelity via AI Slice Imputation.

Marina Crespo Aguirre, Jonathan Williams Ramirez, Dina Zemlyanker, Xiaoling Hu, Lucas J. Deden-Binder, Rogeny Herisse, Mark Montine, Theresa R. Connors, Christopher Mount, Christine L. MacDonald, C. Dirk Keene, Caitlin Latimer, Derek H. Oakley, Bradley T. Hyman, Ana Lawry Aguila, Juan Eugenio Iglesias

CoRR, February, 2026

Healthy Counterfactual Generation with Denoising Diffusion Bridge Models.

Ana Lawry Aguila, Marina Crespo Aguirre, Peirong Liu, Juan Eugenio Iglesias

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Deep generative priors for 3D brain analysis.

Ana Lawry Aguila, Dina Zemlyanker, You Cheng, Sudeshna Das, Daniel C. Alexander, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias

CoRR, October, 2025

Generating healthy counterfactuals with denoising diffusion bridge models.

Ana Lawry Aguila, Peirong Liu, Marina Crespo Aguirre, Juan Eugenio Iglesias

CoRR, October, 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, June, 2025

Conditional Diffusion Models for Guided Anomaly Detection in Brain MRI Using Fluid-Driven Anomaly Randomization.

Ana Lawry Aguila, Peirong Liu, Oula Puonti, Juan Eugenio Iglesias

Proceedings of the Deep Generative Models - 5th MICCAI Workshop, 2025

Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization.

Peirong Liu, Ana Lawry Aguila, Juan Eugenio Iglesias

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

A tutorial on multi-view autoencoders using the multi-view-AE library.

Ana Lawry Aguila, André Altmann

CoRR, 2024

Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning.

James Chapman, Lennie Wells, Ana Lawry Aguila

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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., June, 2023

Efficient Algorithms for the CCA Family: Unconstrained Objectives with Unbiased Gradients.

James Chapman, Ana Lawry Aguila, Lennie Wells

CoRR, 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

Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities.

Ana Lawry Aguila, James Chapman, André Altmann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

A Generalized EigenGame with Extensions to Multiview Representation Learning.

James Chapman, Ana Lawry Aguila, Lennie Wells

CoRR, 2022

Conditional VAEs for Confound Removal and Normative Modelling of Neurodegenerative Diseases.

Ana Lawry Aguila, James Chapman, Mohammed Janahi, André Altmann

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022