Search Results for author: Rodrigo Echeveste

Found 5 papers, 2 papers with code

Unsupervised bias discovery in medical image segmentation

1 code implementation1 Sep 2023 Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante

It has recently been shown that deep learning models for anatomical segmentation in medical images can exhibit biases against certain sub-populations defined in terms of protected attributes like sex or ethnicity.

Fairness Image Segmentation +3

Towards unraveling calibration biases in medical image analysis

no code implementations9 May 2023 María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste

In recent years the development of artificial intelligence (AI) systems for automated medical image analysis has gained enormous momentum.

Fairness

Domain Generalization via Gradient Surgery

1 code implementation ICCV 2021 Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

In real-life applications, machine learning models often face scenarios where there is a change in data distribution between training and test domains.

Domain Generalization Image Classification

Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference

no code implementations8 Jun 2021 Rodrigo Echeveste, Enzo Ferrante, Diego H. Milone, Inés Samengo

Theories for autism spectrum disorder (ASD) have been formulated at different levels: ranging from physiological observations to perceptual and behavioral descriptions.

Bayesian Inference Descriptive

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