Search Results for author: Miguel Monteiro

Found 8 papers, 6 papers with code

High Fidelity Image Counterfactuals with Probabilistic Causal Models

1 code implementation27 Jun 2023 Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker

We present a general causal generative modelling framework for accurate estimation of high fidelity image counterfactuals with deep structural causal models.

counterfactual

Structured Uncertainty in the Observation Space of Variational Autoencoders

1 code implementation25 May 2022 James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker

In contrast, improving the model for the observational distribution is rarely considered and typically defaults to a pixel-wise independent categorical or normal distribution.

Decoder Image Generation

Active label cleaning for improved dataset quality under resource constraints

1 code implementation1 Sep 2021 Melanie Bernhardt, Daniel C. Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Imperfections in data annotation, known as label noise, are detrimental to the training of machine learning models and have an often-overlooked confounding effect on the assessment of model performance.

Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation

2 code implementations19 Jul 2018 Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira

In this paper, we test whether this algorithm, which was shown to improve semantic segmentation for 2D RGB images, is able to improve segmentation quality for 3D multi-modal medical images.

3D Medical Imaging Segmentation Segmentation +2

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