Search Results for author: Lucas Mansilla

Found 6 papers, 6 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

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images

1 code implementation6 Jul 2023 Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Julia Mariel Saidman, Martina Aineseder, Diego H. Milone, Enzo Ferrante

To address this gap, we introduce an extensive chest X-ray multi-center segmentation dataset with uniform and fine-grain anatomical annotations for images coming from five well-known publicly available databases: ChestX-ray8, Chexpert, MIMIC-CXR-JPG, Padchest, and VinDr-CXR, resulting in 657, 566 segmentation masks.

Segmentation

Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis

2 code implementations21 Mar 2022 Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante

To this end, we introduce HybridGNet, an encoder-decoder neural architecture that leverages standard convolutions for image feature encoding and graph convolutional neural networks (GCNNs) to decode plausible representations of anatomical structures.

Image Segmentation Medical Image Segmentation +2

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

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