Laboratory for Imagery, Vision and Artificial Intelligence

This repository aims at containing all the code employed at LIVIA to segment medical images. Mainly, our research focuses on bringind the expertise in deep learning and optimization techniques to the...

LIVIAETS

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

LIVIAETS

Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision

LIVIAETS

Material of the MICCAI 2020 tutorial on weakly supervised learning for semantic segmentation. The updated tutorial (2021 and onwards) is available there: https://github.com/LIVIAETS/miccai_weakly_supe...

LIVIAETS

Code for tutorial at MICCAI 2022

LIVIAETS

Code for our arxiv preprint: https://arxiv.org/abs/1904.05236

LIVIAETS

Code of our MIDL 2018 paper and MedIA extension: https://arxiv.org/abs/1805.04628

LIVIAETS