Naoto Usuyama
Publications by Year
Research Areas
Topic Modeling, Artificial Intelligence in Healthcare and Education, Natural Language Processing Techniques, Biomedical Text Mining and Ontologies, Multimodal Machine Learning Applications
Most-Cited Works
- → Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing(2021)1,897 cited
- → A whole-slide foundation model for digital pathology from real-world data(2024)520 cited
- → LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day(2023)222 cited
- → Making the Most of Text Semantics to Improve Biomedical Vision–Language Processing(2022)206 cited
- → Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine(2023)163 cited
- → Fine-tuning large neural language models for biomedical natural language processing(2023)147 cited
- → A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs(2024)145 cited
- → BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs(2023)95 cited
- → A foundation model for joint segmentation, detection and recognition of biomedical objects across nine modalities(2024)76 cited
- → Fast and accurate medication identification(2019)55 cited