Unsupervised bias discovery in medical image segmentation
Paper
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2309.00451
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Published
Nicolas Gaggion
ngaggion
AI & ML interests
Deep learning, medical image analysis
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about 7 hours ago
Unsupervised bias discovery in medical image segmentation
authored
a paper
about 7 hours ago
ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping
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a paper
about 7 hours ago
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
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authored
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papers
about 7 hours ago
ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping
Paper
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2504.14736
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Published
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
Paper
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2311.13706
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Published
Fitting Skeletal Models via Graph-based Learning
Paper
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2409.05311
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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
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2307.03293
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Published
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Paper
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2106.09832
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Published
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Paper
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2203.10977
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Published
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
Paper
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2211.07395
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Published