9 citations · 15 across the 3 of their papers we have counts for
3 papers
Can Modern NLP Systems Reliably Annotate Chest Radiography Exams? A Pre-Purchase Evaluation and Comparative Study of Solutions from AWS, Google, Azure, John Snow Labs, and Open-Source Models on an Independent Pediatric Dataset
Shruti Hegde, Mabon Manoj Ninan, Jonathan R. Dillman +3
General-purpose clinical natural language processing (NLP) tools are increasingly used for the automatic labeling of clinical reports. However, independent evaluations for specific…
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
Zhixiu Lu, Hailong Li, Nehal A. Parikh +2
The integration of artificial intelligence (AI) with radiology marks a transformative era in medicine. Vision foundation models have been adopted to enhance radiologic imaging anal…
Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment
Zhiyuan Li, Hailong Li, Anca L. Ralescu +5
The integration of different imaging modalities, such as structural, diffusion tensor, and functional magnetic resonance imaging, with deep learning models has yielded promising ou…