Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Paper
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2106.09832
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Published
Enzo Ferrante
eferrante
·
AI & ML interests
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Organizations
authored
6
papers
2 months 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
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
Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation
Paper
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2412.03304
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Published
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21
Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
Paper
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2504.07072
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Published
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9