Unsupervised bias discovery in medical image segmentation
Paper
•
2309.00451
•
Published
Nicolas Gaggion
ngaggion
AI & ML interests
Deep learning, medical image analysis
Recent Activity
updated
a Space
6 days ago
ngaggion/MaskHybridGNet
updated
a dataset
9 days ago
ngaggion/ChronoRoot2
new activity
11 days ago
ngaggion/ChronoRoot2:Improve dataset card: add paper, code, and project links
Organizations
None yet
authored
4
papers
30 days ago
ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping
Paper
•
2504.14736
•
Published
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
Paper
•
2311.13706
•
Published
Fitting Skeletal Models via Graph-based Learning
Paper
•
2409.05311
•
Published
authored
4
papers
over 2 years ago
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Paper
•
2307.03293
•
Published
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Paper
•
2106.09832
•
Published
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Paper
•
2203.10977
•
Published
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
Paper
•
2211.07395
•
Published