Laboratory for Imagery, Vision and Artificial Intelligence (@LIVIAETS)
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LIVIAETS

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  • Stars
    star
    991
  • Global Org. Rank 15,360 (Top 5 %)
  • Registered almost 7 years ago
  • Most used languages
    Python
         100.0 %
  • Location 🇨🇦 Canada
  • Country Total Rank 1,018
  • Country Ranking
    Python
         145

Top repositories

1

boundary-loss

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.
Python
645
star
2

miccai_weakly_supervised_tutorial

Code for tutorial at MICCAI 2022
Python
92
star
3

SizeLoss_WSS

Code of our MIDL 2018 paper and MedIA extension: https://arxiv.org/abs/1805.04628
Python
66
star
4

MedicalImageSegmentation

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 medical image analysis domain.
Python
54
star
5

boxes_tightness_prior

Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
Python
44
star
6

semi_curriculum

Code for our arxiv preprint: https://arxiv.org/abs/1904.05236
Python
34
star
7

miccai_2020-weakly_supervised_tutorial

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_supervised_tutorial
Python
17
star
8

MT-MTDA

Python
16
star
9

extended_logbarrier

Code for our arxiv preprint: https://arxiv.org/abs/1904.04205
Python
13
star
10

KD_UDA

Python
10
star