Search Results for author:
Found 2 papers, 1 papers with code
An Autonomous Large Language Model Agent for Chemical Literature Data Mining
The proposed approach marks a significant advancement in automating chemical literature extraction and demonstrates the potential for AI to revolutionize data management and utilization in chemistry.
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Since unannotated data is generally abundant, it is desirable to use unannotated data to improve the segmentation performance for CNNs when limited annotated data is available.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
