Mariana da Silva

According to our database, Mariana da Silva authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms.

David Stojanovski, Mariana da Silva, Pablo Lamata, Arian Beqiri, Alberto Gómez

CoRR, 2024

Applications of interpretable deep learning in neuroimaging: a comprehensive review.

Lindsay Munroe, Mariana da Silva, Faezeh Heidari, Irina Grigorescu, Simon Dahan, Emma C. Robinson, Maria Deprez, Po-Wah So

CoRR, 2024

2023

ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.

Cher Bass, Mariana da Silva, Carole H. Sudre, Logan Z. J. Williams, Helena S. Sousa, Petru-Daniel Tudosiu, Fidel Alfaro-Almagro, Sean P. Fitzgibbon, Matthew F. Glasser, Stephen M. Smith, Emma C. Robinson

IEEE Trans. Medical Imaging, April, 2023

Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data.

Simon Dahan, Mariana da Silva, Daniel Rueckert, Emma C. Robinson

CoRR, 2023

The Multiscale Surface Vision Transformer.

Simon Dahan, Abdulah Fawaz, Mohamed A. Suliman, Mariana da Silva, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson

CoRR, 2023

2021

ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.

Cher Bass, Mariana da Silva, Carole H. Sudre, Logan Z. J. Williams, Petru-Daniel Tudosiu, Fidel Alfaro-Almagro, Sean P. Fitzgibbon, Matthew F. Glasser, Stephen M. Smith, Emma C. Robinson

CoRR, 2021

Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks.

Mariana da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

2020

Biomechanical modelling of brain atrophy through deep learning.

Mariana da Silva, Kara Garcia, Carole H. Sudre, Cher Bass, M. Jorge Cardoso, Emma C. Robinson

CoRR, 2020

ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping.

Cher Bass, Mariana da Silva, Carole H. Sudre, Petru-Daniel Tudosiu, Stephen M. Smith, Emma C. Robinson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020