Stanford-AIMI
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- MASS Public
[CVPR 2026] A mask-guided self-supervised learning method for 3D medical image representation learning
Stanford-AIMI/MASS’s past year of commit activity - radgraph-XL Public
Stanford-AIMI/radgraph-XL’s past year of commit activity - TRoVe Public
[NeurIPS 2025] TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
Stanford-AIMI/TRoVe’s past year of commit activity - radgraph Public
Stanford-AIMI/radgraph’s past year of commit activity - GREEN Public
[EMNLP, Findings 2024] a radiology report generation metric that leverages the natural language understanding of language models to identify and explain clinically significant errors in candidate reports
Stanford-AIMI/GREEN’s past year of commit activity - LieRE Public
[ICML-2025] We introduce Lie group Relative position Encodings (LieRE) that goes beyond RoPE in supporting n-dimensional inputs.
Stanford-AIMI/LieRE’s past year of commit activity - stanford-aimi.github.io Public
Stanford-AIMI/stanford-aimi.github.io’s past year of commit activity - RaVL Public
[NeurIPS 2024] RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
Stanford-AIMI/RaVL’s past year of commit activity
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